diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..0cafc1c --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +.venv/ \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..7829b9c --- /dev/null +++ b/README.md @@ -0,0 +1,4 @@ +Освоить JupyterLab для работы с Python-кодом, анализа данных и визуализации. +Познакомиться с основами работы с pandas, numpy, matplotlib, seaborn и tqdm. +Научиться комментировать код, изменять параметры и анализировать результат. +Укрепить навыки работы с Git: вести репозиторий, фиксировать изменения, документировать процесс. \ No newline at end of file diff --git a/data_science_job.csv b/data_science_job.csv new file mode 100644 index 0000000..6825e0c --- /dev/null +++ b/data_science_job.csv @@ -0,0 +1,5001 @@ +work_year,job_title,job_category,salary_currency,salary,salary_in_usd,employee_residence,experience_level,employment_type,work_setting,company_location,company_size +2022,Machine Learning Engineer in office,Analysis,EUR,186597,136086,US,MI,CT,Remote,DE,L +2020,Statistician (Remote),ML/AI,JPY,110630,67982,JP,EX,FL,Remote,IN,M +2022,Machine Learning Engineer ,ML/AI,INR,61280,153309,UK,MI,CT,Hybrid,CN,L +2022,Data Analyst in office,ML/AI,JPY,154130,135242,DE,SE,FT,Hybrid,MX,L +2020,Statistician ,Data Science,EUR,172312,35156,UK,MI,FT,In-person,UK,S +2020,Machine Learning Engineer ,Engineering,JPY,36544,68280,CN,MI,FT,Hybrid,DE,M +2022,Data Analyst in office,Data Science,JPY,178404,105324,DE,EX,PT,Remote,DE,L +2021,Data Scientist (Remote),ML/AI,JPY,187908,90706,UK,EX,CT,Remote,JP,M +2022,Data Analyst ,,,-44388,171043,UK,,FL,In-person,DE, +2022,Statistician (Remote),Engineering,us dolars,31694,73408,DE,EN,CT,Remote,US,S +2022,Data Engineer in office,Data Science,us dolars,157727,167559,US,SE,FL,Hybrid,US,S +2022,Data Scientist ,Data Science,INR,118202,50997,MX,EX,FL,In-person,UK,M +2020,Machine Learning Engineer (Remote),,,143057,76456,MX,,FL,In-person,DE, +2022,Statistician ,Engineering,us dolars,79294,160865,JP,EN,CT,In-person,JP,M +2021,Data Engineer ,Analysis,JPY,68769,107988,JP,EN,FT,Hybrid,CN,M +2020,Data Analyst ,Engineering,JPY,143289,110908,MX,EX,PT,In-person,UK,M +2021,Data Engineer in office,Analysis,JPY,132885,107952,US,EX,PT,In-person,IN,L +2021,Statistician (Remote),ML/AI,JPY,67855,114784,UK,SE,FT,Remote,JP,M +2021,Statistician ,ML/AI,GBP,162532,189266,JP,EX,PT,Remote,IN,L +2021,Data Engineer (Remote),Data Science,INR,77646,194857,US,EX,FL,In-person,UK,L +2020,Data Analyst in office,ML/AI,EUR,170907,88676,US,EX,PT,Hybrid,US,L +2020,Data Engineer ,ML/AI,EUR,143947,38373,JP,SE,CT,Hybrid,JP,M +2021,Statistician ,Analysis,us dolars,40910,191355,MX,MI,FT,Hybrid,CN,S +2021,Statistician ,,,-112757,124951,DE,,FT,Hybrid,JP, +2020,Machine Learning Engineer (Remote),Engineering,EUR,38463,56414,IN,EN,FT,Remote,UK,M +2020,Machine Learning Engineer (Remote),Data Science,INR,174408,175450,MX,MI,FT,Hybrid,JP,M +2020,Data Scientist ,,,56534,147139,DE,,CT,Hybrid,JP, +2022,Statistician (Remote),Engineering,us dolars,163441,113872,MX,SE,FL,In-person,UK,L +2022,Machine Learning Engineer (Remote),Data Science,INR,186453,165772,UK,SE,FL,Hybrid,MX,S +2022,Data Engineer ,,,-142296,174973,DE,,FL,Hybrid,DE, +2021,Data Analyst ,Data Science,GBP,115094,120374,CN,MI,PT,Hybrid,UK,S +2022,Data Engineer ,Data Science,us dolars,117905,183669,IN,MI,FL,Hybrid,JP,S +2021,Data Analyst in office,Analysis,EUR,55407,194500,MX,EN,PT,Remote,CN,L +2021,Machine Learning Engineer ,,,-92552,196759,IN,,CT,In-person,CN, +2022,Data Scientist ,ML/AI,EUR,197011,59493,US,MI,PT,Remote,UK,L +2021,Data Engineer ,ML/AI,JPY,122303,155074,CN,EX,FL,In-person,JP,M +2022,Data Engineer ,Analysis,GBP,187242,81224,UK,MI,FT,In-person,IN,M +2022,Data Engineer ,Engineering,JPY,101908,61852,US,EX,CT,In-person,IN,S +2020,Data Analyst ,Engineering,EUR,154506,40932,DE,EN,FL,In-person,US,S +2022,Machine Learning Engineer ,ML/AI,INR,52369,118545,DE,EX,FL,Remote,MX,M +2020,Data Engineer ,ML/AI,JPY,35900,63583,JP,SE,FL,In-person,UK,M +2022,Data Engineer in office,Analysis,INR,70733,59865,US,EN,CT,Hybrid,UK,S +2022,Data Scientist (Remote),Engineering,EUR,117236,173361,CN,EN,FT,Hybrid,IN,S +2020,Data Scientist in office,,,161661,100270,US,,FT,In-person,IN, +2020,Machine Learning Engineer in office,Data Science,INR,90044,115549,US,EN,FT,Hybrid,IN,S +2022,Machine Learning Engineer ,Data Science,EUR,115553,196593,US,EN,FL,Hybrid,CN,S +2021,Statistician ,Data Science,INR,118435,167577,IN,EX,PT,In-person,CN,L +2020,Data Scientist ,Analysis,JPY,79008,160768,JP,MI,FL,In-person,US,L +2021,Statistician ,ML/AI,EUR,96794,74327,MX,SE,FT,In-person,US,L +2021,Data Analyst (Remote),Analysis,JPY,109134,143209,UK,MI,CT,Remote,DE,S +2021,Statistician (Remote),Engineering,us dolars,163938,144889,UK,SE,PT,In-person,CN,M +2020,Data Engineer in office,ML/AI,EUR,82890,48409,UK,EX,PT,In-person,UK,M +2021,Statistician (Remote),Data Science,INR,145259,180589,IN,EN,FL,Remote,US,S +2020,Machine Learning Engineer in office,Analysis,us dolars,59404,74533,JP,EN,CT,Hybrid,JP,L +2021,Data Analyst ,Analysis,JPY,95223,191547,CN,MI,PT,Remote,UK,M +2022,Data Engineer in office,Data Science,JPY,30637,45327,JP,MI,FT,Hybrid,DE,S +2022,Statistician in office,Analysis,INR,133186,85344,IN,MI,FL,Remote,IN,L +2020,Data Analyst (Remote),Data Science,us dolars,45828,33671,CN,EN,FL,In-person,DE,L +2022,Data Analyst in office,Engineering,GBP,131976,121908,US,EN,FT,Remote,UK,L +2022,Data Engineer ,ML/AI,INR,75097,80756,DE,EX,FT,In-person,IN,L +2021,Statistician ,Engineering,JPY,143271,189152,US,SE,FT,Hybrid,DE,L +2020,Data Analyst ,Engineering,EUR,62022,54544,UK,MI,PT,In-person,DE,L +2021,Data Analyst ,Data Science,us dolars,62202,106347,US,EN,CT,Remote,UK,L +2021,Data Scientist (Remote),Analysis,GBP,58704,48733,IN,SE,PT,Remote,US,L +2021,Data Analyst in office,Engineering,EUR,121411,78093,UK,MI,CT,Hybrid,JP,L +2021,Data Scientist in office,,,-159688,135424,DE,,FL,In-person,DE, +2021,Statistician in office,Engineering,INR,53641,125595,CN,SE,CT,Hybrid,JP,S +2021,Statistician in office,Analysis,INR,67479,67487,CN,SE,FT,In-person,CN,M +2021,Statistician ,Analysis,us dolars,52027,150931,UK,SE,PT,In-person,CN,S +2020,Machine Learning Engineer (Remote),,,72912,70849,MX,,FT,Hybrid,UK, +2022,Statistician in office,Engineering,us dolars,138227,175622,MX,EX,FL,Hybrid,MX,S +2021,Data Analyst in office,ML/AI,EUR,158773,106400,US,MI,PT,In-person,UK,M +2021,Data Engineer (Remote),Analysis,EUR,139658,159120,MX,MI,PT,Hybrid,MX,M +2021,Data Scientist in office,Data Science,INR,72692,120930,JP,SE,FT,In-person,MX,M +2021,Machine Learning Engineer (Remote),Engineering,us dolars,128884,79699,JP,EN,PT,Hybrid,MX,S +2021,Statistician in office,ML/AI,INR,62209,120470,CN,SE,FT,Hybrid,US,M +2021,Statistician (Remote),Analysis,GBP,86738,174779,JP,EN,CT,Hybrid,MX,L +2022,Data Engineer in office,ML/AI,EUR,67242,162996,UK,EX,FL,Remote,IN,M +2022,Data Engineer ,Analysis,JPY,171013,125023,JP,MI,FT,Hybrid,JP,S +2021,Machine Learning Engineer in office,,,-168145,59018,IN,,FL,Remote,DE, +2022,Data Scientist ,,,137966,51031,CN,,PT,In-person,IN, +2020,Statistician (Remote),Engineering,us dolars,198899,134985,DE,EX,FL,In-person,CN,M +2021,Machine Learning Engineer ,Engineering,JPY,198168,98237,JP,EX,FL,Hybrid,CN,S +2020,Data Analyst in office,Analysis,us dolars,96457,138426,IN,MI,FL,Remote,JP,M +2020,Data Analyst ,,,-159257,46719,IN,,PT,In-person,JP, +2021,Machine Learning Engineer ,ML/AI,GBP,98309,39718,UK,SE,CT,Remote,MX,L +2022,Statistician in office,Data Science,GBP,116496,30056,CN,EN,CT,Remote,IN,S +2020,Machine Learning Engineer (Remote),Analysis,INR,191340,176424,UK,MI,CT,In-person,IN,M +2021,Statistician ,ML/AI,EUR,140078,151743,DE,EX,FT,Remote,US,L +2020,Data Engineer in office,Analysis,us dolars,31865,77820,DE,EX,FT,Remote,DE,L +2020,Machine Learning Engineer ,,,126242,98683,US,,PT,In-person,DE, +2020,Statistician (Remote),Analysis,INR,58887,99073,DE,EX,CT,Hybrid,DE,L +2020,Machine Learning Engineer (Remote),Engineering,INR,126047,30721,CN,EN,FL,Hybrid,MX,S +2022,Machine Learning Engineer (Remote),,,194551,70194,MX,,CT,Remote,CN, +2020,Statistician ,Analysis,us dolars,158863,109882,MX,EX,FT,Hybrid,CN,L +2020,Statistician in office,Data Science,EUR,70478,171983,CN,MI,PT,In-person,IN,S +2020,Data Scientist (Remote),Data Science,INR,187473,181944,UK,EN,CT,In-person,US,S +2022,Machine Learning Engineer in office,Engineering,EUR,189574,103072,IN,EN,FT,In-person,UK,M +2020,Data Analyst (Remote),Data Science,us dolars,141750,153919,US,SE,FT,Remote,US,L +2020,Machine Learning Engineer ,Analysis,JPY,43394,115968,MX,EN,FL,In-person,CN,M +2022,Machine Learning Engineer ,,,-170334,137251,MX,,CT,Remote,MX, +2022,Statistician (Remote),Analysis,us dolars,34487,74537,DE,MI,FL,Remote,IN,S +2022,Machine Learning Engineer in office,Engineering,INR,188413,139254,IN,EX,CT,In-person,US,L +2020,Machine Learning Engineer in office,Engineering,JPY,138924,177932,UK,EN,PT,In-person,IN,S +2022,Data Analyst (Remote),Engineering,INR,174642,191815,JP,SE,CT,Remote,JP,L +2022,Statistician ,Data Science,JPY,87268,102941,US,EN,FL,In-person,JP,S +2020,Machine Learning Engineer in office,,,-59605,193277,CN,,FL,Hybrid,UK, +2022,Data Engineer in office,ML/AI,JPY,101602,47645,IN,SE,FT,Remote,CN,M +2020,Data Scientist ,Analysis,INR,187795,142661,UK,SE,CT,Remote,MX,L +2021,Data Analyst in office,,,108206,101473,UK,,CT,In-person,JP, +2022,Machine Learning Engineer (Remote),Analysis,INR,123375,80734,US,MI,PT,In-person,UK,S +2021,Data Engineer ,Engineering,EUR,123937,191503,US,SE,FT,Remote,DE,L +2020,Machine Learning Engineer (Remote),ML/AI,EUR,86921,157705,DE,EX,FL,Remote,IN,L +2022,Machine Learning Engineer ,Analysis,us dolars,90760,90914,DE,MI,CT,Remote,MX,L +2020,Statistician (Remote),Data Science,EUR,171321,47882,CN,EX,FT,In-person,DE,L +2021,Statistician (Remote),Data Science,GBP,97847,120860,CN,EX,PT,Remote,DE,M +2020,Statistician (Remote),Analysis,EUR,127547,174051,US,MI,FT,Hybrid,UK,S +2022,Data Engineer in office,Engineering,INR,73839,130513,US,EN,CT,Hybrid,IN,L +2022,Machine Learning Engineer in office,ML/AI,EUR,69673,148751,IN,EX,CT,In-person,UK,S +2021,Data Scientist (Remote),Analysis,INR,33642,74828,DE,MI,PT,Remote,US,M +2020,Data Analyst (Remote),Data Science,INR,167410,168300,UK,EX,PT,Remote,DE,M +2022,Statistician ,ML/AI,GBP,81761,150354,MX,SE,PT,Hybrid,IN,L +2021,Statistician in office,Data Science,EUR,39622,104217,MX,EX,FL,Remote,DE,S +2022,Machine Learning Engineer (Remote),Data Science,EUR,78423,136500,MX,EX,FT,In-person,US,S +2022,Machine Learning Engineer in office,Analysis,JPY,72873,103803,DE,EX,FT,In-person,CN,S +2020,Data Engineer ,Data Science,JPY,77565,100908,DE,SE,FT,In-person,US,M +2022,Data Engineer (Remote),ML/AI,us dolars,168878,68918,US,EX,FL,Remote,CN,M +2020,Statistician in office,Engineering,INR,30757,171992,MX,MI,FT,Remote,IN,L +2022,Machine Learning Engineer ,Analysis,GBP,182542,57785,US,EX,PT,Hybrid,IN,S +2021,Data Scientist (Remote),ML/AI,JPY,36220,112757,DE,MI,FT,Hybrid,MX,S +2022,Data Analyst in office,Analysis,EUR,138408,186250,JP,EX,FL,In-person,US,M +2020,Machine Learning Engineer ,Data Science,us dolars,121851,129490,JP,EX,FL,Remote,DE,L +2020,Machine Learning Engineer ,,,123329,101997,CN,,FT,Remote,JP, +2021,Data Engineer in office,ML/AI,EUR,157636,139768,DE,EN,FL,In-person,DE,L +2022,Data Analyst (Remote),ML/AI,EUR,183577,44052,MX,EN,FL,In-person,JP,M +2022,Statistician in office,Engineering,INR,58288,79383,JP,SE,FT,Hybrid,UK,S +2021,Machine Learning Engineer ,ML/AI,INR,104492,161399,CN,MI,FL,Hybrid,IN,L +2022,Statistician ,ML/AI,JPY,49109,118301,CN,SE,FL,In-person,US,L +2022,Machine Learning Engineer (Remote),Analysis,JPY,164569,100775,DE,MI,FT,Remote,UK,S +2020,Statistician in office,Data Science,EUR,87326,105614,CN,SE,PT,Hybrid,DE,L +2022,Data Analyst (Remote),ML/AI,EUR,39864,168110,US,SE,PT,In-person,JP,M +2022,Data Engineer (Remote),Engineering,JPY,117562,38048,US,EX,FL,Remote,CN,L +2021,Data Analyst ,ML/AI,JPY,104310,44954,US,EX,CT,In-person,IN,S +2021,Data Scientist in office,Data Science,EUR,149454,142010,UK,EX,CT,Remote,JP,M +2020,Data Engineer in office,,,-51017,43225,US,,FT,Hybrid,DE, +2022,Data Analyst ,Analysis,EUR,162893,135622,MX,EX,FT,Remote,MX,S +2022,Data Scientist ,Data Science,GBP,80337,174603,US,SE,PT,Remote,DE,S +2022,Machine Learning Engineer in office,ML/AI,GBP,113557,39530,DE,MI,CT,In-person,US,S +2020,Machine Learning Engineer (Remote),Analysis,EUR,40372,54791,JP,EN,FT,Remote,UK,S +2020,Statistician (Remote),,,130050,135806,MX,,CT,Hybrid,IN, +2021,Data Engineer in office,ML/AI,JPY,123938,162721,JP,MI,CT,In-person,US,L +2020,Machine Learning Engineer (Remote),,,-101333,174544,US,,FL,In-person,JP, +2022,Data Engineer (Remote),Engineering,EUR,46283,120721,US,SE,FL,In-person,MX,M +2022,Machine Learning Engineer ,Analysis,GBP,70857,57134,US,MI,CT,In-person,UK,S +2020,Statistician (Remote),Engineering,EUR,81772,173516,CN,MI,PT,In-person,IN,S +2022,Data Analyst ,ML/AI,JPY,125856,159326,DE,EN,FT,In-person,JP,M +2022,Statistician (Remote),Analysis,GBP,192333,68217,DE,EN,FT,In-person,IN,L +2020,Data Scientist in office,,,-36107,183138,DE,,PT,Hybrid,IN, +2020,Machine Learning Engineer ,Data Science,INR,65561,161067,JP,EX,FL,Hybrid,CN,L +2022,Data Scientist in office,Analysis,INR,196340,66189,MX,MI,FL,In-person,CN,S +2022,Data Scientist ,ML/AI,us dolars,192680,148903,MX,EX,PT,Remote,MX,M +2022,Data Engineer (Remote),Data Science,GBP,43138,196561,UK,EN,PT,In-person,UK,M +2021,Machine Learning Engineer in office,Engineering,GBP,198765,57284,JP,MI,FL,In-person,CN,M +2021,Data Scientist ,Analysis,us dolars,154143,54698,DE,EX,CT,In-person,JP,L +2021,Data Analyst in office,Analysis,GBP,182320,49637,IN,SE,FL,Remote,CN,M +2020,Data Scientist in office,ML/AI,us dolars,48632,90405,UK,SE,CT,Hybrid,MX,M +2021,Data Analyst (Remote),Data Science,EUR,77547,91305,US,SE,FT,Remote,MX,L +2020,Data Engineer ,Analysis,JPY,42100,63556,CN,MI,FT,Remote,US,S +2020,Data Scientist (Remote),,,-77930,112176,JP,,CT,Remote,US, +2021,Statistician in office,Data Science,us dolars,83025,150644,CN,MI,CT,Remote,US,L +2021,Data Engineer ,Analysis,us dolars,108944,127012,UK,MI,FL,In-person,MX,M +2021,Data Analyst in office,Data Science,us dolars,180441,33654,MX,MI,PT,Hybrid,IN,S +2022,Data Engineer in office,Data Science,EUR,179532,70428,IN,EX,CT,Remote,DE,S +2021,Data Scientist ,Data Science,us dolars,121641,159814,UK,EX,FT,Hybrid,UK,S +2022,Machine Learning Engineer in office,ML/AI,JPY,126920,199108,JP,SE,FL,In-person,US,L +2020,Machine Learning Engineer ,Data Science,JPY,162533,125379,DE,EX,FT,In-person,UK,S +2022,Data Analyst ,Data Science,INR,72362,95355,US,EX,FL,Hybrid,CN,M +2021,Data Analyst ,,,58610,76257,DE,,PT,In-person,IN, +2020,Machine Learning Engineer in office,Engineering,JPY,134334,143435,DE,SE,PT,Hybrid,UK,L +2020,Data Analyst (Remote),,,-182067,135866,JP,,FT,Remote,US, +2020,Data Engineer in office,Data Science,GBP,37717,177059,DE,SE,CT,In-person,US,M +2022,Statistician in office,Engineering,GBP,94022,181882,DE,EX,CT,In-person,MX,L +2021,Statistician ,Engineering,us dolars,81645,50311,JP,MI,FT,Hybrid,IN,S +2020,Data Engineer (Remote),Analysis,us dolars,59550,142695,JP,SE,CT,In-person,IN,M +2020,Statistician ,Data Science,GBP,164648,84478,IN,EN,CT,Remote,JP,M +2020,Data Scientist in office,Engineering,INR,70868,195992,DE,EX,FT,In-person,IN,L +2022,Data Engineer (Remote),ML/AI,INR,128039,38738,UK,EN,FT,In-person,DE,S +2022,Data Analyst ,Analysis,us dolars,166800,103424,MX,EN,PT,In-person,DE,M +2021,Data Engineer in office,Analysis,GBP,62800,92232,US,EX,FT,Hybrid,US,L +2022,Machine Learning Engineer in office,Data Science,INR,40886,138400,CN,EN,PT,Remote,CN,L +2020,Data Analyst (Remote),Data Science,us dolars,75805,35474,US,EX,PT,Remote,IN,L +2021,Machine Learning Engineer in office,Analysis,GBP,62532,89026,JP,EN,FL,In-person,DE,L +2020,Data Analyst in office,ML/AI,EUR,142765,96024,CN,MI,CT,In-person,MX,L +2020,Statistician in office,Data Science,GBP,58688,80974,JP,SE,FT,Hybrid,DE,M +2022,Data Engineer in office,Data Science,GBP,172135,185216,MX,MI,CT,Remote,MX,L +2021,Data Scientist (Remote),Analysis,JPY,53089,35622,MX,MI,FL,In-person,JP,S +2022,Data Analyst in office,Analysis,JPY,63585,127366,IN,EN,FT,Remote,CN,S +2022,Data Analyst in office,Data Science,EUR,32438,69214,DE,SE,FT,In-person,MX,M +2021,Machine Learning Engineer in office,Engineering,EUR,123095,123184,JP,SE,FL,In-person,CN,L +2020,Statistician (Remote),,,-184284,128233,MX,,CT,Hybrid,IN, +2020,Machine Learning Engineer (Remote),Engineering,INR,178055,186295,JP,EN,PT,Remote,JP,M +2021,Machine Learning Engineer ,Analysis,EUR,44026,51865,US,MI,FL,Remote,CN,L +2020,Statistician (Remote),Engineering,GBP,150168,73026,DE,EX,FL,In-person,CN,L +2021,Data Scientist in office,ML/AI,us dolars,80998,119037,IN,EX,FT,In-person,MX,S +2021,Machine Learning Engineer (Remote),Analysis,JPY,87013,187938,MX,EX,PT,Hybrid,UK,L +2022,Machine Learning Engineer (Remote),Data Science,INR,81039,173488,JP,SE,FL,In-person,JP,M +2021,Data Analyst (Remote),Data Science,GBP,195675,55775,JP,EX,CT,Remote,CN,S +2022,Statistician in office,Analysis,us dolars,136446,190152,JP,MI,FL,Hybrid,UK,M +2020,Data Engineer ,Analysis,JPY,128452,49374,US,EX,CT,Remote,UK,M +2020,Data Scientist ,ML/AI,us dolars,174177,88451,MX,SE,FT,Hybrid,CN,L +2020,Data Scientist ,,,97182,112141,JP,,FL,Remote,MX, +2020,Statistician ,Data Science,EUR,82147,45684,JP,EX,CT,In-person,IN,S +2022,Data Analyst (Remote),ML/AI,JPY,105400,54002,US,SE,FT,Remote,UK,M +2020,Data Analyst ,Data Science,us dolars,76434,121551,JP,EX,FT,Remote,UK,M +2021,Statistician (Remote),Engineering,EUR,56515,160704,DE,SE,FT,Hybrid,JP,L +2021,Data Analyst (Remote),Analysis,INR,88001,184044,DE,EN,FL,Remote,IN,M +2021,Data Scientist ,Engineering,GBP,178032,36309,US,EN,FT,In-person,MX,M +2022,Data Scientist in office,Data Science,GBP,139591,114675,DE,MI,FT,Hybrid,IN,M +2020,Data Engineer ,Engineering,JPY,75778,98326,CN,EN,CT,Hybrid,UK,M +2020,Statistician ,,,192013,37826,CN,,FT,Remote,MX, +2020,Machine Learning Engineer (Remote),Data Science,INR,125849,173206,CN,SE,FL,Hybrid,JP,S +2022,Machine Learning Engineer (Remote),,,133083,180765,IN,,PT,In-person,JP, +2021,Data Engineer ,Analysis,JPY,131276,151840,JP,EX,FT,Remote,JP,M +2021,Data Engineer ,Engineering,us dolars,86908,165126,IN,EX,FL,In-person,JP,S +2020,Data Analyst in office,ML/AI,INR,179501,177162,DE,MI,FT,Remote,US,L +2021,Data Engineer in office,ML/AI,us dolars,124048,135985,US,MI,FL,Remote,MX,L +2021,Data Engineer in office,Data Science,GBP,175919,45569,CN,EX,FT,Hybrid,CN,S +2022,Machine Learning Engineer (Remote),,,-64256,193299,US,,CT,Hybrid,UK, +2022,Data Analyst in office,,,-157025,36508,IN,,PT,Hybrid,UK, +2022,Data Engineer (Remote),Data Science,GBP,189846,177680,DE,SE,PT,Remote,UK,M +2022,Data Engineer (Remote),,,-157343,119059,MX,,FL,Hybrid,IN, +2020,Data Analyst ,Analysis,GBP,39127,127475,JP,EX,FL,In-person,MX,S +2022,Statistician in office,Analysis,INR,148251,160447,MX,EN,PT,Hybrid,IN,M +2021,Data Analyst ,Engineering,GBP,189277,160819,DE,EX,CT,In-person,JP,S +2020,Machine Learning Engineer ,Analysis,INR,111163,140648,CN,SE,CT,Hybrid,CN,L +2021,Statistician (Remote),Data Science,us dolars,148279,54520,DE,EX,FT,Remote,MX,M +2021,Data Scientist in office,Data Science,JPY,131824,60932,US,SE,CT,Hybrid,IN,L +2021,Data Analyst ,Data Science,INR,68664,49734,UK,EN,PT,In-person,DE,M +2022,Machine Learning Engineer (Remote),Data Science,GBP,86795,99363,CN,MI,PT,In-person,MX,M +2022,Statistician ,Engineering,JPY,151729,80555,MX,EN,CT,Hybrid,UK,M +2020,Data Analyst in office,,,-193405,46257,JP,,CT,In-person,UK, +2020,Data Engineer (Remote),ML/AI,INR,66079,193266,CN,MI,PT,Remote,US,L +2022,Data Analyst in office,Analysis,INR,114225,177865,CN,MI,PT,Hybrid,US,S +2021,Data Scientist ,Data Science,EUR,54259,195756,JP,EX,PT,In-person,DE,S +2020,Data Analyst (Remote),ML/AI,EUR,56571,123550,MX,EN,PT,Hybrid,US,L +2022,Statistician ,Engineering,JPY,81119,83219,CN,SE,PT,Hybrid,CN,L +2022,Statistician ,Data Science,EUR,38009,163931,US,SE,CT,Hybrid,JP,S +2022,Data Analyst in office,Data Science,GBP,140210,69840,DE,MI,CT,Hybrid,JP,S +2021,Statistician (Remote),,,-91829,127392,US,,FT,Hybrid,MX, +2022,Data Engineer ,Engineering,JPY,68230,89327,DE,SE,FT,Remote,UK,L +2022,Data Analyst in office,ML/AI,us dolars,141364,143827,UK,EX,FL,Hybrid,JP,S +2022,Data Engineer in office,Engineering,EUR,86049,64819,CN,MI,FT,Remote,US,L +2022,Data Engineer (Remote),,,131762,115621,UK,,CT,Hybrid,DE, +2020,Machine Learning Engineer ,Analysis,JPY,153273,131272,IN,MI,FT,In-person,CN,L +2020,Data Analyst (Remote),,,149466,71704,MX,,FT,Hybrid,JP, +2022,Statistician (Remote),Analysis,GBP,197570,90379,DE,SE,CT,Hybrid,UK,M +2021,Data Engineer ,Analysis,JPY,149053,185390,US,EN,PT,In-person,UK,M +2020,Machine Learning Engineer (Remote),Engineering,JPY,189892,110987,US,EX,CT,Remote,CN,L +2022,Data Analyst (Remote),ML/AI,INR,125018,141561,CN,MI,CT,Remote,US,L +2020,Data Analyst (Remote),Engineering,JPY,62795,35274,US,EN,FL,Remote,JP,M +2020,Data Scientist in office,Data Science,INR,143812,179298,IN,EN,FL,Remote,US,L +2021,Data Scientist ,ML/AI,EUR,115411,126462,JP,EN,FL,In-person,UK,L +2022,Data Engineer (Remote),Analysis,GBP,69191,49046,US,EN,PT,Remote,DE,M +2022,Data Scientist in office,Analysis,GBP,42453,104210,CN,EN,FT,Remote,JP,S +2021,Data Engineer in office,Data Science,JPY,150848,148724,UK,MI,FL,Remote,MX,L +2021,Statistician (Remote),ML/AI,JPY,144165,182982,MX,SE,CT,Remote,DE,L +2022,Data Engineer ,Data Science,EUR,79993,172575,US,EN,FL,Remote,CN,S +2022,Data Scientist in office,Data Science,INR,140780,78392,US,SE,CT,Hybrid,JP,S +2021,Statistician (Remote),Engineering,GBP,75706,91472,US,SE,PT,Hybrid,UK,L +2020,Data Scientist ,Data Science,INR,121434,100904,CN,EX,FL,Remote,JP,L +2020,Data Engineer ,ML/AI,EUR,80799,119063,MX,MI,CT,In-person,UK,S +2021,Machine Learning Engineer (Remote),Data Science,GBP,149586,75335,JP,EN,FT,In-person,IN,L +2020,Data Analyst in office,ML/AI,GBP,90964,52487,US,SE,PT,Hybrid,UK,S +2021,Data Scientist ,Analysis,us dolars,127379,66593,JP,EX,CT,In-person,UK,S +2020,Data Engineer ,Data Science,EUR,139987,105927,JP,SE,FT,Hybrid,CN,L +2020,Statistician ,ML/AI,EUR,91926,39874,MX,EN,FT,Remote,JP,L +2022,Data Scientist ,Analysis,us dolars,33801,84822,MX,MI,CT,Remote,DE,S +2022,Data Scientist in office,ML/AI,INR,70144,83948,IN,MI,FL,In-person,UK,L +2020,Data Analyst in office,Analysis,us dolars,124478,33608,UK,EN,FT,In-person,JP,S +2020,Data Engineer (Remote),,,-171220,125987,US,,PT,In-person,UK, +2022,Machine Learning Engineer (Remote),Data Science,INR,142364,135182,US,EX,FT,Remote,US,M +2022,Statistician in office,Data Science,GBP,112819,57546,US,MI,FL,Remote,US,S +2022,Data Engineer (Remote),Analysis,us dolars,180933,145999,JP,MI,PT,In-person,US,S +2021,Statistician ,Engineering,INR,183552,130804,MX,SE,PT,In-person,US,L +2020,Data Scientist in office,ML/AI,INR,48637,92496,DE,SE,PT,In-person,DE,S +2022,Data Analyst ,Engineering,INR,74621,85186,UK,SE,CT,In-person,CN,S +2020,Data Analyst in office,ML/AI,us dolars,77431,166302,CN,EX,FT,Hybrid,UK,L +2021,Machine Learning Engineer in office,,,129937,55720,US,,FL,In-person,US, +2021,Data Analyst (Remote),Data Science,INR,86172,73023,DE,EX,CT,In-person,JP,M +2022,Data Scientist in office,Analysis,us dolars,55437,198674,DE,EN,CT,Hybrid,US,S +2021,Machine Learning Engineer (Remote),,,169221,97082,MX,,PT,Hybrid,IN, +2020,Data Engineer in office,Data Science,us dolars,175743,45050,DE,SE,CT,Hybrid,IN,M +2022,Data Analyst ,Data Science,us dolars,53119,143353,UK,EX,FT,Hybrid,CN,S +2020,Machine Learning Engineer ,ML/AI,us dolars,177351,82164,DE,EX,CT,In-person,DE,L +2020,Data Scientist ,Data Science,INR,98835,158470,CN,EX,CT,Remote,MX,S +2021,Statistician ,ML/AI,us dolars,165875,60134,US,MI,PT,Remote,IN,L +2021,Statistician ,,,-90805,176712,CN,,PT,Remote,JP, +2021,Data Scientist ,,,-48201,44284,US,,CT,Remote,US, +2021,Data Scientist in office,ML/AI,EUR,58634,90526,IN,SE,PT,Remote,IN,L +2021,Statistician (Remote),Engineering,JPY,175832,164495,JP,EN,FL,Remote,IN,L +2022,Machine Learning Engineer in office,Data Science,us dolars,171898,58577,DE,EX,FL,Hybrid,DE,M +2020,Statistician ,Data Science,INR,116821,151867,CN,EX,FL,Hybrid,IN,L +2020,Data Scientist ,Data Science,INR,75775,148247,JP,EN,CT,Remote,US,M +2020,Data Analyst in office,Data Science,us dolars,156546,88900,JP,SE,FT,In-person,CN,S +2020,Data Engineer (Remote),Engineering,GBP,144090,114606,JP,EN,FT,In-person,MX,M +2021,Data Analyst (Remote),Engineering,GBP,104676,36066,JP,EN,PT,Remote,CN,S +2020,Data Analyst (Remote),Engineering,EUR,36798,134342,JP,EN,FT,In-person,CN,L +2022,Data Scientist (Remote),Engineering,us dolars,107160,38583,US,EN,FT,Hybrid,MX,L +2022,Statistician ,Data Science,us dolars,107751,68057,UK,SE,CT,Hybrid,UK,M +2020,Machine Learning Engineer ,ML/AI,JPY,70888,183676,DE,EX,PT,In-person,US,S +2020,Data Analyst (Remote),Analysis,GBP,79047,56564,DE,EN,FT,Remote,IN,M +2022,Statistician in office,Engineering,GBP,139640,91429,US,EN,FL,Hybrid,IN,L +2022,Machine Learning Engineer in office,ML/AI,us dolars,132614,128600,CN,MI,PT,In-person,MX,L +2021,Data Analyst ,Engineering,EUR,75955,118393,US,SE,PT,In-person,IN,S +2022,Machine Learning Engineer in office,Data Science,us dolars,163054,145774,MX,EN,PT,Hybrid,DE,S +2021,Statistician ,,,194936,58941,JP,,FL,Hybrid,JP, +2021,Data Engineer ,ML/AI,GBP,151298,67962,UK,EN,FT,Remote,US,L +2021,Statistician (Remote),ML/AI,JPY,115490,199645,DE,SE,FL,In-person,CN,S +2021,Data Scientist (Remote),ML/AI,INR,69265,151410,CN,MI,PT,Remote,IN,M +2021,Machine Learning Engineer (Remote),Data Science,GBP,76313,186764,IN,MI,PT,Hybrid,MX,M +2020,Data Engineer (Remote),Data Science,EUR,74350,88420,US,SE,CT,In-person,UK,S +2022,Machine Learning Engineer (Remote),Analysis,us dolars,176450,112415,IN,MI,CT,Hybrid,DE,S +2021,Machine Learning Engineer (Remote),ML/AI,GBP,139168,196835,DE,MI,CT,Hybrid,JP,S +2022,Data Analyst in office,Analysis,JPY,57924,112013,US,EN,CT,Hybrid,IN,L +2022,Data Scientist (Remote),Engineering,EUR,112593,149012,DE,MI,PT,Remote,CN,M +2021,Machine Learning Engineer (Remote),Analysis,us dolars,147490,167465,US,EX,FL,Hybrid,US,S +2020,Statistician ,Engineering,INR,37312,150198,CN,SE,CT,Remote,UK,M +2021,Statistician ,Engineering,EUR,60353,63488,DE,EN,FL,Hybrid,CN,L +2020,Data Analyst (Remote),Analysis,us dolars,143744,182531,MX,MI,CT,Hybrid,DE,L +2022,Data Scientist ,ML/AI,INR,46192,173626,IN,EX,FT,In-person,US,S +2020,Data Scientist in office,Engineering,us dolars,178522,198939,UK,EN,CT,Hybrid,MX,S +2020,Statistician in office,ML/AI,INR,166504,132330,CN,SE,FL,In-person,US,S +2020,Data Engineer in office,Data Science,INR,126548,35057,MX,MI,CT,In-person,DE,S +2022,Data Analyst in office,,,-128991,113026,CN,,FT,Remote,MX, +2022,Data Analyst (Remote),Data Science,us dolars,108711,35305,US,SE,FL,In-person,US,S +2020,Statistician in office,Analysis,INR,171367,91276,IN,MI,FL,In-person,MX,M +2020,Statistician in office,ML/AI,EUR,36774,193812,DE,MI,FL,Hybrid,MX,L +2021,Data Engineer in office,Analysis,JPY,145107,185190,IN,EN,PT,Hybrid,UK,L +2020,Data Engineer in office,Engineering,JPY,173262,167746,CN,SE,FL,Remote,UK,M +2021,Data Scientist ,Data Science,INR,192358,120534,US,MI,PT,In-person,MX,M +2020,Data Analyst in office,Engineering,JPY,102427,176388,IN,SE,FT,In-person,US,S +2021,Data Analyst in office,Analysis,JPY,117513,177289,MX,MI,FL,Remote,IN,S +2022,Statistician ,ML/AI,INR,94014,141045,DE,SE,FL,Hybrid,US,S +2020,Data Scientist ,ML/AI,INR,85256,175674,JP,EN,FL,In-person,IN,L +2020,Data Analyst (Remote),Engineering,EUR,128743,117181,CN,SE,FT,Remote,US,M +2020,Data Scientist ,Engineering,GBP,121190,140907,UK,MI,PT,Hybrid,CN,M +2020,Data Scientist ,Data Science,us dolars,81715,43987,UK,EX,CT,Remote,JP,M +2021,Statistician ,Analysis,INR,37466,79915,CN,EN,FT,Remote,UK,M +2020,Data Scientist in office,Engineering,INR,47637,43543,JP,EN,FT,In-person,US,S +2022,Data Engineer (Remote),Data Science,JPY,160424,57944,US,EX,FT,Hybrid,UK,S +2022,Data Engineer (Remote),,,98745,170216,IN,,PT,In-person,DE, +2020,Machine Learning Engineer in office,ML/AI,JPY,66317,139418,IN,EN,PT,In-person,JP,S +2022,Statistician (Remote),Data Science,INR,164150,68459,JP,EX,PT,Hybrid,IN,L +2020,Machine Learning Engineer in office,Data Science,INR,188371,60741,MX,EX,PT,Hybrid,DE,S +2020,Data Engineer ,,,33543,156077,JP,,PT,Hybrid,JP, +2022,Machine Learning Engineer in office,Analysis,INR,152790,104627,DE,SE,FL,In-person,DE,L +2020,Statistician in office,ML/AI,GBP,81052,143372,DE,MI,CT,Hybrid,UK,M +2022,Statistician ,Analysis,us dolars,52064,99741,UK,EX,CT,Hybrid,CN,M +2021,Data Scientist ,Data Science,us dolars,102287,99177,US,SE,PT,Hybrid,JP,S +2020,Data Analyst (Remote),Analysis,us dolars,110442,33543,US,MI,PT,Remote,DE,M +2021,Data Scientist in office,Data Science,GBP,150550,166663,MX,EN,FL,Hybrid,IN,L +2022,Statistician ,Analysis,INR,44425,86395,JP,SE,PT,In-person,JP,L +2021,Data Engineer (Remote),Engineering,JPY,81481,59055,UK,MI,FL,Remote,JP,S +2021,Data Engineer in office,Analysis,EUR,107347,36116,UK,SE,FL,In-person,DE,L +2022,Data Scientist ,Data Science,INR,102317,85485,DE,EN,FT,Remote,CN,M +2021,Statistician ,ML/AI,GBP,80530,163479,IN,EN,FT,Hybrid,MX,S +2021,Data Engineer in office,ML/AI,GBP,111099,192666,MX,SE,PT,Remote,MX,S +2022,Statistician ,,,55888,96421,US,,FL,In-person,MX, +2021,Data Engineer in office,Data Science,INR,188563,65411,MX,MI,PT,Remote,MX,M +2022,Statistician in office,Analysis,us dolars,193424,154115,UK,SE,FT,Hybrid,US,L +2021,Machine Learning Engineer in office,ML/AI,EUR,182748,129772,DE,SE,FT,Hybrid,IN,M +2022,Statistician ,ML/AI,us dolars,95836,120121,DE,EN,FT,In-person,IN,S +2022,Statistician ,ML/AI,EUR,198535,153671,DE,MI,FT,Remote,MX,L +2021,Data Scientist in office,,,-140478,141670,MX,,FT,In-person,DE, +2021,Machine Learning Engineer (Remote),Data Science,us dolars,78990,187310,IN,SE,PT,In-person,CN,M +2021,Data Analyst in office,Data Science,us dolars,116544,134627,UK,EN,PT,In-person,UK,S +2020,Data Scientist in office,Data Science,JPY,93627,196268,JP,EN,FT,Hybrid,UK,M +2020,Data Analyst in office,Data Science,GBP,181293,42738,JP,MI,PT,Remote,MX,S +2020,Data Engineer (Remote),Data Science,JPY,158345,144183,DE,MI,FT,Hybrid,US,S +2022,Data Analyst ,Engineering,EUR,102843,45772,DE,EN,FT,Hybrid,US,S +2021,Statistician ,Analysis,EUR,59251,95270,IN,MI,FT,Hybrid,DE,M +2022,Data Analyst in office,Engineering,GBP,104418,184564,DE,EX,PT,Remote,CN,M +2020,Data Scientist in office,ML/AI,EUR,82620,84979,CN,EX,PT,Hybrid,UK,M +2021,Data Scientist ,Engineering,GBP,40040,143585,UK,EN,FL,Hybrid,IN,M +2022,Data Analyst in office,Data Science,EUR,167041,197927,DE,SE,PT,Hybrid,CN,M +2021,Data Scientist ,Engineering,INR,43162,167300,DE,EN,PT,Remote,UK,L +2022,Data Scientist (Remote),Data Science,us dolars,95435,181117,UK,EN,CT,Remote,CN,S +2021,Data Analyst in office,,,148504,54318,US,,FT,In-person,DE, +2020,Machine Learning Engineer ,Data Science,GBP,104667,88458,CN,SE,FT,Hybrid,UK,L +2020,Machine Learning Engineer ,ML/AI,GBP,158658,174867,CN,EX,PT,Hybrid,JP,L +2021,Data Engineer (Remote),Data Science,INR,35037,135856,JP,MI,PT,Remote,MX,S +2022,Data Scientist in office,Engineering,us dolars,90526,115184,DE,EX,FL,Remote,DE,S +2020,Data Analyst (Remote),ML/AI,us dolars,117914,158789,UK,MI,CT,Hybrid,JP,S +2020,Data Scientist ,,,-175765,51747,JP,,FT,In-person,CN, +2020,Statistician ,ML/AI,EUR,122162,192632,MX,EN,FT,In-person,DE,S +2021,Data Scientist (Remote),Analysis,JPY,89090,41282,MX,EN,PT,Hybrid,IN,S +2021,Data Scientist (Remote),Analysis,us dolars,163523,194903,IN,MI,PT,In-person,DE,S +2022,Machine Learning Engineer (Remote),Analysis,INR,95560,93073,MX,SE,CT,In-person,DE,L +2022,Data Analyst in office,Engineering,EUR,167034,184115,MX,SE,FT,Hybrid,MX,M +2022,Data Scientist ,Engineering,INR,119552,82900,US,SE,CT,In-person,DE,S +2021,Machine Learning Engineer in office,ML/AI,JPY,46444,50929,DE,SE,FT,Remote,DE,L +2021,Data Engineer in office,ML/AI,GBP,70443,65500,US,EN,PT,Hybrid,US,M +2022,Machine Learning Engineer (Remote),ML/AI,INR,177578,31872,DE,EX,CT,Remote,JP,S +2022,Machine Learning Engineer in office,ML/AI,JPY,199456,198560,DE,EX,FL,Hybrid,DE,L +2021,Machine Learning Engineer in office,Data Science,JPY,127229,97505,DE,MI,PT,Remote,DE,M +2022,Data Scientist (Remote),Analysis,JPY,142314,55460,US,SE,FL,In-person,CN,S +2020,Data Scientist (Remote),Data Science,GBP,54248,42155,CN,EN,FL,Remote,US,S +2021,Data Engineer (Remote),Data Science,GBP,157521,172942,IN,EN,FL,Remote,UK,L +2022,Statistician ,Data Science,GBP,98008,145006,CN,EN,FT,Remote,CN,S +2021,Statistician ,Data Science,EUR,90309,123928,UK,MI,FL,Remote,CN,L +2020,Statistician in office,,,73237,164789,UK,,FT,Remote,MX, +2021,Data Engineer in office,Data Science,GBP,156967,156075,MX,MI,CT,Hybrid,MX,L +2021,Statistician ,ML/AI,GBP,196804,162446,CN,MI,PT,Remote,US,M +2021,Statistician in office,Engineering,INR,38104,182898,IN,MI,FT,Remote,US,L +2021,Machine Learning Engineer (Remote),,,113230,145138,MX,,FT,Hybrid,MX, +2020,Data Scientist ,Engineering,EUR,120266,174499,IN,EN,CT,Hybrid,US,S +2021,Data Scientist in office,,,64980,94442,DE,,CT,In-person,CN, +2021,Machine Learning Engineer in office,ML/AI,INR,104990,195780,DE,EX,PT,Remote,CN,L +2022,Machine Learning Engineer in office,Engineering,us dolars,39554,130671,UK,EN,CT,Remote,MX,S +2021,Machine Learning Engineer ,Analysis,GBP,121049,185343,DE,SE,FT,In-person,DE,L +2022,Data Scientist ,Data Science,JPY,192057,46631,MX,SE,PT,Remote,US,L +2020,Statistician ,ML/AI,JPY,78167,49887,DE,MI,PT,In-person,US,S +2020,Machine Learning Engineer (Remote),,,97238,55259,IN,,PT,Hybrid,MX, +2020,Data Engineer in office,Data Science,us dolars,47038,127932,US,MI,FL,Remote,CN,M +2020,Machine Learning Engineer in office,Analysis,EUR,183291,87987,CN,EX,FL,Remote,CN,S +2022,Data Analyst (Remote),Analysis,JPY,165343,49144,JP,MI,FT,Hybrid,US,S +2021,Machine Learning Engineer ,,,57397,181908,JP,,FL,Remote,DE, +2020,Data Scientist ,ML/AI,JPY,104491,74456,DE,MI,CT,Hybrid,IN,L +2021,Machine Learning Engineer ,Analysis,JPY,59602,197452,DE,SE,PT,Hybrid,IN,L +2022,Data Analyst (Remote),,,84471,150250,CN,,FT,In-person,UK, +2022,Data Engineer in office,ML/AI,us dolars,127081,107735,JP,EN,CT,Hybrid,DE,M +2022,Statistician (Remote),ML/AI,JPY,53116,41569,IN,MI,PT,In-person,CN,L +2020,Machine Learning Engineer in office,Data Science,EUR,36674,155294,JP,EN,CT,Hybrid,US,L +2021,Data Analyst in office,Engineering,EUR,178541,192254,JP,EN,FL,In-person,MX,L +2021,Data Analyst in office,ML/AI,GBP,35446,182721,MX,EN,CT,In-person,US,M +2021,Data Engineer (Remote),Engineering,JPY,154809,113731,JP,EN,FL,In-person,US,L +2022,Data Scientist ,Engineering,JPY,50760,126132,DE,EX,CT,In-person,IN,L +2020,Machine Learning Engineer ,Analysis,JPY,31963,130497,MX,EX,FT,Remote,MX,M +2022,Data Analyst (Remote),ML/AI,JPY,138281,57003,DE,MI,FL,Hybrid,CN,M +2022,Data Engineer in office,ML/AI,JPY,188334,177623,CN,MI,FL,Hybrid,MX,L +2021,Statistician (Remote),ML/AI,EUR,35177,144432,JP,EX,PT,Hybrid,US,S +2022,Data Analyst ,Engineering,us dolars,41160,184898,DE,MI,FL,Hybrid,US,S +2021,Data Engineer (Remote),Data Science,us dolars,132876,132486,CN,MI,PT,In-person,IN,M +2020,Data Scientist in office,Engineering,GBP,37543,185801,JP,EX,FL,Remote,US,L +2021,Data Scientist ,ML/AI,EUR,137211,164940,IN,EX,FL,Hybrid,MX,M +2020,Data Analyst in office,ML/AI,JPY,69278,71274,DE,MI,FL,Hybrid,UK,M +2021,Data Analyst (Remote),ML/AI,us dolars,190679,68718,US,EX,FL,Hybrid,CN,S +2022,Machine Learning Engineer in office,Engineering,INR,178293,193425,CN,SE,PT,In-person,MX,M +2022,Data Engineer (Remote),ML/AI,INR,164395,71682,DE,EN,FT,Hybrid,JP,M +2020,Data Analyst ,Analysis,INR,82105,60653,IN,EN,CT,Hybrid,MX,L +2020,Machine Learning Engineer ,ML/AI,JPY,106151,175213,IN,SE,FL,Remote,MX,L +2020,Machine Learning Engineer ,Data Science,JPY,96968,172609,DE,SE,FL,In-person,UK,M +2021,Data Analyst in office,Analysis,GBP,184310,60401,UK,MI,FT,Remote,DE,M +2021,Data Scientist (Remote),ML/AI,GBP,93830,188459,CN,MI,PT,Hybrid,MX,L +2020,Data Engineer (Remote),Analysis,GBP,103967,111690,JP,EN,CT,In-person,UK,S +2022,Data Engineer (Remote),ML/AI,INR,169402,130613,JP,MI,FT,Hybrid,UK,L +2021,Data Scientist in office,Data Science,JPY,38611,167702,IN,EN,FT,Hybrid,MX,L +2021,Data Analyst (Remote),ML/AI,INR,43872,74293,DE,MI,FT,In-person,MX,L +2021,Data Engineer ,Analysis,GBP,79455,184142,UK,MI,FT,Remote,IN,L +2020,Data Analyst (Remote),Data Science,JPY,64930,43416,CN,EN,FL,In-person,DE,L +2020,Data Analyst in office,Engineering,EUR,102022,146711,US,SE,CT,In-person,MX,S +2020,Machine Learning Engineer ,Data Science,us dolars,92714,145037,JP,SE,FL,Remote,CN,L +2020,Data Scientist ,Data Science,us dolars,154906,120935,MX,MI,FT,In-person,MX,L +2020,Data Analyst in office,Data Science,GBP,138722,169701,CN,SE,CT,Remote,CN,S +2022,Statistician ,Analysis,INR,96704,38360,CN,MI,FT,Remote,UK,M +2022,Data Scientist (Remote),,,-30415,42011,UK,,PT,In-person,JP, +2020,Data Engineer in office,ML/AI,JPY,106441,70721,CN,EX,FT,In-person,UK,L +2021,Machine Learning Engineer (Remote),Data Science,INR,141736,66069,JP,EX,FT,Remote,US,M +2020,Data Engineer in office,,,-100779,83270,DE,,PT,Remote,IN, +2022,Data Engineer in office,ML/AI,INR,118444,41227,JP,SE,FL,Remote,US,M +2022,Data Scientist in office,ML/AI,GBP,134448,69587,US,EN,CT,Remote,DE,S +2021,Data Engineer (Remote),,,39888,91720,DE,,FT,Remote,DE, +2022,Data Analyst in office,,,-154790,98305,IN,,FT,In-person,IN, +2020,Data Engineer ,Analysis,INR,88765,106028,UK,EN,PT,Hybrid,UK,M +2021,Machine Learning Engineer (Remote),Data Science,EUR,45935,83651,JP,SE,CT,In-person,DE,M +2020,Machine Learning Engineer in office,Data Science,JPY,103002,81332,DE,EN,PT,Hybrid,JP,M +2020,Statistician in office,ML/AI,GBP,110631,98201,CN,SE,FT,Remote,MX,L +2021,Machine Learning Engineer (Remote),Engineering,JPY,31320,185879,DE,MI,FL,In-person,IN,S +2020,Data Engineer ,Data Science,us dolars,76032,73552,JP,EX,FL,Hybrid,US,L +2022,Machine Learning Engineer ,Analysis,EUR,107763,153938,IN,EX,CT,Remote,JP,S +2020,Data Scientist in office,Data Science,EUR,178979,147230,JP,MI,FT,In-person,MX,L +2021,Machine Learning Engineer in office,Analysis,JPY,68002,123758,IN,EN,PT,Hybrid,MX,L +2021,Data Analyst ,ML/AI,us dolars,68912,87300,CN,EX,FT,In-person,CN,S +2021,Data Scientist in office,Engineering,JPY,30552,56951,JP,SE,PT,Hybrid,IN,L +2020,Statistician ,Data Science,INR,50140,50264,DE,SE,PT,In-person,JP,M +2021,Data Analyst ,,,115591,49121,US,,CT,In-person,MX, +2021,Data Engineer ,,,-63367,114351,US,,PT,Hybrid,IN, +2020,Data Engineer ,Analysis,INR,54061,80539,CN,MI,CT,In-person,US,L +2022,Data Engineer in office,Engineering,us dolars,126590,191383,MX,EX,FL,In-person,UK,S +2020,Data Analyst (Remote),Data Science,EUR,72124,180821,MX,EN,CT,Remote,IN,S +2021,Data Analyst (Remote),ML/AI,GBP,163054,59218,DE,EX,CT,Hybrid,DE,L +2021,Data Analyst ,,,146322,74867,US,,CT,In-person,US, +2020,Data Scientist in office,Engineering,us dolars,136134,31316,CN,SE,FL,Hybrid,US,M +2022,Data Scientist (Remote),Data Science,INR,65765,67972,IN,EN,CT,In-person,JP,M +2021,Data Engineer (Remote),Engineering,JPY,112606,116924,DE,MI,PT,Hybrid,DE,M +2021,Machine Learning Engineer ,Data Science,us dolars,126422,122700,MX,EN,PT,Hybrid,JP,S +2021,Data Engineer ,Analysis,JPY,139910,159079,IN,EX,CT,Remote,CN,S +2020,Statistician in office,,,-84681,134082,DE,,PT,Remote,US, +2021,Data Scientist (Remote),Analysis,GBP,92349,169151,IN,EN,CT,Hybrid,IN,S +2022,Data Analyst ,Engineering,INR,130063,90887,IN,EN,FL,In-person,CN,L +2021,Data Scientist ,Engineering,GBP,93474,183484,US,EN,PT,Hybrid,DE,L +2021,Data Analyst in office,,,-190585,65862,DE,,CT,In-person,US, +2022,Statistician ,Analysis,JPY,52592,157677,JP,MI,FT,Hybrid,MX,L +2021,Statistician ,Data Science,us dolars,142196,175893,US,MI,FL,Remote,DE,M +2020,Data Scientist ,Analysis,EUR,53618,103118,IN,MI,FT,Remote,CN,S +2020,Data Analyst ,,,81632,104548,IN,,CT,In-person,IN, +2020,Statistician ,Data Science,INR,176481,194727,MX,SE,PT,Hybrid,UK,S +2022,Data Engineer in office,Data Science,INR,39529,134319,JP,MI,CT,In-person,JP,L +2021,Data Engineer ,Analysis,GBP,152164,110066,MX,EX,PT,Remote,MX,M +2020,Data Analyst (Remote),ML/AI,EUR,54154,75221,JP,MI,CT,Hybrid,JP,S +2022,Data Scientist ,Analysis,GBP,62882,117189,IN,MI,CT,Remote,CN,L +2021,Statistician ,ML/AI,JPY,74917,135812,JP,EX,PT,Remote,US,S +2022,Data Scientist (Remote),Analysis,EUR,112488,122326,UK,EN,PT,Hybrid,US,S +2020,Data Engineer (Remote),Engineering,JPY,45701,169972,MX,EX,CT,In-person,IN,L +2020,Statistician ,Data Science,us dolars,98225,194557,MX,EX,FT,Hybrid,US,M +2020,Data Scientist in office,Analysis,GBP,149278,43891,US,SE,FL,Remote,US,S +2022,Machine Learning Engineer (Remote),Engineering,INR,32988,138640,DE,EN,FT,Remote,US,L +2022,Data Analyst in office,Analysis,EUR,65919,176086,MX,EX,FT,Remote,DE,S +2020,Data Analyst ,Data Science,GBP,39013,102083,JP,MI,FT,Remote,DE,S +2022,Machine Learning Engineer ,Analysis,INR,164646,67964,JP,EX,FT,In-person,UK,S +2020,Data Engineer (Remote),ML/AI,us dolars,37838,74739,UK,SE,PT,Hybrid,DE,M +2020,Statistician (Remote),Data Science,EUR,61368,146871,DE,EX,FT,Hybrid,MX,M +2021,Data Analyst in office,ML/AI,JPY,62228,115799,UK,MI,FL,In-person,MX,M +2022,Machine Learning Engineer ,Engineering,us dolars,76097,69459,DE,EN,PT,In-person,JP,M +2020,Machine Learning Engineer (Remote),Engineering,INR,189711,37045,MX,SE,FT,Remote,MX,L +2020,Data Engineer (Remote),Analysis,EUR,175895,73255,MX,EN,PT,Hybrid,CN,M +2022,Data Engineer (Remote),ML/AI,EUR,184582,81965,US,SE,FT,Hybrid,UK,S +2021,Data Scientist in office,ML/AI,us dolars,159802,31237,JP,MI,FT,Hybrid,US,L +2021,Data Analyst ,Data Science,EUR,68333,160811,US,SE,FL,In-person,JP,S +2020,Data Scientist (Remote),ML/AI,INR,34435,82195,DE,EN,PT,Remote,UK,M +2022,Machine Learning Engineer (Remote),,,-68418,147775,JP,,PT,Remote,CN, +2021,Statistician (Remote),Data Science,JPY,87955,66326,MX,EX,CT,Hybrid,UK,S +2022,Statistician ,Data Science,us dolars,89507,166365,UK,EN,FT,Remote,JP,S +2022,Data Engineer in office,ML/AI,us dolars,81033,55274,MX,EX,FT,In-person,UK,S +2020,Statistician in office,Analysis,JPY,102972,180309,MX,EN,FL,In-person,JP,M +2021,Statistician ,Data Science,INR,132012,123920,IN,EX,FL,Hybrid,UK,S +2020,Statistician in office,Data Science,GBP,77219,126529,UK,MI,PT,Remote,UK,S +2021,Machine Learning Engineer in office,ML/AI,GBP,195549,179301,IN,EX,FL,In-person,MX,S +2021,Statistician (Remote),,,176595,108847,UK,,PT,In-person,UK, +2021,Statistician in office,Data Science,INR,62326,86718,DE,MI,FT,In-person,JP,M +2021,Statistician (Remote),ML/AI,EUR,142626,98718,US,SE,FT,In-person,UK,S +2021,Data Scientist in office,Data Science,JPY,161197,79615,IN,EN,PT,Remote,MX,L +2022,Machine Learning Engineer (Remote),Analysis,GBP,96735,148548,DE,EX,FL,In-person,CN,L +2020,Data Engineer ,Analysis,INR,134396,101296,US,SE,FL,In-person,CN,S +2022,Data Scientist ,,,46375,102796,US,,PT,Remote,DE, +2021,Data Analyst in office,Data Science,INR,163783,162987,JP,SE,FT,Hybrid,DE,M +2020,Machine Learning Engineer (Remote),Engineering,INR,193509,104651,MX,MI,PT,Hybrid,DE,L +2021,Machine Learning Engineer ,Engineering,GBP,189094,37076,JP,EN,FL,In-person,DE,M +2020,Data Analyst ,ML/AI,GBP,39182,110350,MX,MI,PT,Hybrid,DE,S +2022,Data Analyst in office,ML/AI,EUR,123177,194155,JP,EN,FT,Remote,CN,L +2020,Data Analyst (Remote),Data Science,EUR,125066,83918,IN,SE,CT,In-person,US,L +2020,Data Engineer (Remote),Data Science,JPY,154401,165865,IN,MI,PT,Remote,UK,M +2020,Statistician ,Engineering,us dolars,118148,80528,MX,EN,CT,Hybrid,CN,S +2020,Machine Learning Engineer in office,,,133806,147503,US,,PT,Hybrid,CN, +2020,Statistician ,Data Science,GBP,173992,96798,IN,MI,FL,In-person,IN,M +2021,Statistician ,,,52144,39319,US,,FL,Hybrid,US, +2020,Data Analyst in office,Analysis,JPY,150270,174266,DE,MI,CT,In-person,JP,S +2020,Data Engineer in office,ML/AI,EUR,163637,180381,UK,MI,PT,In-person,MX,S +2022,Data Scientist in office,Data Science,INR,118909,56998,US,EX,FL,Remote,US,S +2020,Data Engineer (Remote),Data Science,INR,185763,33468,US,SE,CT,Hybrid,IN,M +2022,Statistician in office,ML/AI,EUR,160661,142178,DE,EX,CT,Hybrid,CN,S +2021,Data Engineer in office,,,63799,173723,MX,,PT,In-person,US, +2020,Data Analyst ,Engineering,us dolars,64510,181477,JP,SE,FL,In-person,UK,L +2022,Data Scientist in office,Analysis,JPY,117919,175554,CN,SE,CT,In-person,DE,S +2022,Data Analyst in office,Data Science,us dolars,143043,34409,MX,EN,FT,In-person,UK,M +2021,Data Scientist ,Engineering,JPY,190047,96083,JP,SE,FT,Remote,US,M +2020,Statistician (Remote),Analysis,GBP,83242,115443,JP,MI,FL,Hybrid,CN,M +2020,Data Scientist in office,Analysis,EUR,76546,53426,MX,EX,FL,Remote,CN,S +2022,Data Scientist ,Analysis,INR,184339,138025,MX,MI,FT,Hybrid,IN,M +2020,Data Scientist (Remote),Engineering,JPY,99939,84757,US,MI,CT,Remote,JP,S +2022,Data Engineer (Remote),Engineering,us dolars,151265,175508,US,EX,PT,In-person,UK,S +2020,Data Engineer in office,Data Science,JPY,34897,46490,IN,MI,CT,Remote,IN,L +2022,Statistician (Remote),Data Science,JPY,161235,82136,IN,EN,FL,Remote,JP,L +2020,Data Scientist in office,Analysis,us dolars,82540,190034,UK,MI,FL,In-person,DE,S +2021,Machine Learning Engineer (Remote),Analysis,us dolars,60030,190360,UK,MI,PT,In-person,UK,L +2020,Statistician (Remote),Engineering,EUR,85313,52236,CN,EX,CT,Hybrid,CN,M +2020,Data Scientist (Remote),Engineering,INR,158070,175995,MX,MI,PT,Hybrid,UK,S +2021,Data Scientist in office,,,59870,174336,IN,,CT,Remote,CN, +2020,Data Engineer (Remote),Data Science,EUR,146565,97147,MX,SE,CT,Remote,CN,M +2021,Statistician ,ML/AI,us dolars,154703,37928,US,SE,FT,Remote,DE,S +2020,Data Scientist ,Data Science,us dolars,190554,195630,DE,EN,CT,In-person,DE,M +2022,Data Scientist (Remote),Engineering,INR,192130,86369,IN,EX,FL,Hybrid,US,S +2022,Statistician in office,Analysis,JPY,87255,96403,US,EX,FL,Remote,JP,L +2020,Machine Learning Engineer ,ML/AI,EUR,122407,127225,MX,EX,FL,Hybrid,IN,M +2020,Statistician (Remote),Data Science,INR,147952,75213,IN,EN,FT,Hybrid,MX,L +2020,Statistician ,Data Science,EUR,187451,128631,JP,EN,PT,In-person,MX,M +2022,Machine Learning Engineer ,Engineering,JPY,139396,33816,IN,MI,FL,In-person,DE,M +2020,Statistician ,ML/AI,EUR,53674,128162,MX,EX,FL,Remote,US,M +2022,Data Scientist ,Data Science,GBP,167662,196988,MX,EN,PT,Remote,JP,M +2021,Statistician ,,,-192504,77838,CN,,FT,Remote,JP, +2022,Machine Learning Engineer (Remote),Engineering,us dolars,70426,172645,MX,SE,CT,Remote,UK,M +2022,Data Analyst ,ML/AI,EUR,79584,95364,JP,EX,PT,Remote,US,L +2021,Statistician (Remote),Data Science,INR,199087,174229,US,SE,CT,Hybrid,US,M +2022,Data Engineer ,Data Science,INR,103251,39322,JP,MI,CT,Hybrid,UK,S +2020,Data Scientist in office,ML/AI,EUR,99353,149024,IN,MI,CT,In-person,MX,S +2020,Data Scientist (Remote),Engineering,us dolars,125029,32482,JP,EX,PT,In-person,IN,M +2022,Data Engineer in office,ML/AI,us dolars,112990,65867,CN,EN,PT,Hybrid,MX,S +2020,Data Engineer in office,ML/AI,EUR,34600,109211,DE,EN,CT,In-person,DE,M +2022,Statistician ,Engineering,INR,185762,125956,JP,EN,FT,In-person,CN,L +2020,Data Engineer ,,,138286,138052,MX,,FT,Remote,UK, +2020,Data Analyst ,Analysis,EUR,63762,109386,CN,EX,FT,In-person,DE,M +2022,Machine Learning Engineer ,Engineering,EUR,149006,36732,JP,MI,FL,In-person,CN,M +2020,Data Engineer ,Analysis,EUR,198571,64422,UK,EX,CT,In-person,US,L +2022,Data Engineer in office,Data Science,INR,168742,106964,DE,EX,FL,Hybrid,MX,L +2020,Data Analyst in office,ML/AI,us dolars,47341,86284,US,SE,FT,Hybrid,UK,M +2020,Data Scientist ,Analysis,INR,125140,158575,MX,MI,PT,Remote,CN,M +2021,Data Scientist ,Data Science,GBP,114074,41311,CN,EN,FT,In-person,IN,M +2021,Statistician (Remote),Data Science,us dolars,47015,159507,JP,MI,FL,Hybrid,DE,M +2022,Data Analyst (Remote),ML/AI,INR,140180,106000,DE,SE,FL,Remote,MX,M +2021,Machine Learning Engineer in office,ML/AI,us dolars,154581,158259,US,EX,FT,In-person,DE,M +2022,Machine Learning Engineer in office,Data Science,GBP,79849,75311,DE,MI,CT,Remote,DE,L +2021,Data Analyst in office,Data Science,JPY,144719,40300,CN,SE,PT,Remote,US,S +2020,Machine Learning Engineer ,Analysis,EUR,45852,95375,UK,EX,PT,In-person,MX,M +2022,Data Scientist in office,Data Science,INR,85361,64563,CN,EN,FT,Hybrid,CN,M +2022,Machine Learning Engineer in office,Data Science,GBP,141794,151227,CN,MI,CT,In-person,DE,L +2020,Machine Learning Engineer in office,Analysis,GBP,182330,109244,US,EN,CT,In-person,JP,S +2022,Data Analyst (Remote),Engineering,us dolars,92355,158161,US,EN,FT,In-person,MX,L +2022,Data Analyst in office,Analysis,us dolars,154773,155307,JP,SE,PT,Hybrid,DE,L +2021,Machine Learning Engineer in office,Analysis,EUR,57410,189162,IN,SE,PT,In-person,US,M +2022,Data Engineer (Remote),ML/AI,us dolars,170967,144687,CN,EX,PT,Hybrid,UK,M +2020,Data Analyst in office,Analysis,INR,63924,46328,US,EN,CT,Remote,DE,L +2021,Statistician ,Data Science,INR,142622,187726,CN,SE,FT,Hybrid,DE,M +2021,Statistician (Remote),Data Science,INR,100831,167286,CN,SE,CT,Remote,UK,M +2020,Data Scientist in office,Data Science,JPY,173336,199985,US,EN,PT,Remote,CN,M +2020,Machine Learning Engineer (Remote),Engineering,INR,58038,188624,UK,EX,CT,In-person,CN,S +2021,Data Engineer in office,Data Science,us dolars,146936,65377,UK,EN,PT,Hybrid,JP,S +2022,Data Scientist in office,,,39136,186806,CN,,FT,Remote,US, +2021,Machine Learning Engineer (Remote),Data Science,INR,43213,120257,UK,EX,PT,Remote,UK,L +2020,Data Analyst ,Analysis,GBP,138546,48610,CN,SE,FL,Hybrid,US,S +2021,Statistician (Remote),ML/AI,GBP,57431,189947,JP,EN,FL,Hybrid,CN,L +2020,Data Engineer ,Data Science,GBP,72290,85082,US,EN,FT,Remote,UK,M +2021,Statistician ,Engineering,EUR,126815,53226,CN,SE,CT,Remote,IN,L +2022,Data Analyst (Remote),Engineering,JPY,160374,57677,UK,MI,CT,Hybrid,JP,L +2021,Machine Learning Engineer in office,,,-72747,171370,UK,,CT,Hybrid,IN, +2021,Data Analyst ,Data Science,EUR,105974,65848,DE,EN,PT,Remote,CN,L +2020,Data Analyst (Remote),Analysis,GBP,109763,129291,DE,SE,FL,In-person,MX,L +2020,Statistician in office,Data Science,INR,159132,154227,MX,EX,FT,Hybrid,UK,S +2020,Data Engineer in office,Data Science,EUR,102994,93654,UK,EX,CT,Remote,CN,M +2021,Data Analyst in office,ML/AI,us dolars,99015,47744,MX,EN,CT,Remote,UK,L +2022,Statistician (Remote),Data Science,GBP,175959,184506,MX,SE,FT,In-person,US,M +2020,Data Engineer (Remote),Analysis,EUR,30051,135850,MX,EN,PT,Hybrid,UK,M +2020,Machine Learning Engineer in office,Engineering,us dolars,97695,78001,JP,EN,CT,Remote,CN,M +2021,Machine Learning Engineer in office,,,-58491,89633,IN,,PT,In-person,US, +2020,Data Scientist in office,Analysis,JPY,46080,78917,CN,EN,PT,Hybrid,US,M +2022,Statistician in office,Engineering,GBP,64880,109804,DE,EX,PT,In-person,UK,L +2022,Data Engineer (Remote),ML/AI,JPY,141056,30907,CN,MI,CT,Remote,US,M +2020,Data Analyst in office,ML/AI,JPY,77361,121295,DE,EX,CT,In-person,CN,M +2020,Machine Learning Engineer ,Engineering,JPY,117685,174836,US,MI,FT,Remote,MX,M +2021,Data Engineer ,Engineering,INR,110875,185481,US,SE,FT,Remote,JP,L +2022,Statistician (Remote),Analysis,INR,124841,169462,UK,EN,PT,In-person,IN,M +2022,Data Scientist ,Data Science,JPY,177665,60172,US,MI,CT,In-person,UK,M +2020,Machine Learning Engineer ,Data Science,us dolars,177239,153936,US,SE,PT,Remote,US,M +2021,Data Engineer ,Data Science,JPY,118091,133512,IN,SE,FT,In-person,US,S +2022,Data Engineer (Remote),,,-63005,78196,MX,,PT,Hybrid,CN, +2022,Data Engineer ,Data Science,JPY,95471,98901,JP,EX,FL,Hybrid,US,S +2021,Statistician in office,,,-156718,186908,UK,,PT,In-person,US, +2021,Statistician ,ML/AI,INR,136379,182735,IN,MI,CT,In-person,JP,M +2022,Statistician ,,,80728,167023,UK,,PT,Hybrid,MX, +2022,Data Analyst ,Analysis,EUR,169763,45175,JP,EX,PT,Remote,UK,L +2021,Data Engineer in office,Analysis,GBP,39756,172099,UK,MI,CT,Remote,UK,L +2022,Machine Learning Engineer (Remote),ML/AI,us dolars,153670,137809,CN,MI,FL,Hybrid,CN,L +2020,Statistician (Remote),Analysis,us dolars,66308,105630,CN,EN,CT,Remote,JP,S +2020,Statistician ,Analysis,us dolars,94079,118617,CN,MI,FT,In-person,JP,L +2021,Data Engineer in office,ML/AI,INR,95524,173239,US,SE,FL,In-person,JP,S +2021,Statistician ,Analysis,us dolars,39327,184132,JP,EN,FL,Hybrid,UK,S +2021,Data Analyst (Remote),Data Science,GBP,189592,157310,IN,MI,CT,Hybrid,MX,M +2020,Data Analyst (Remote),Engineering,GBP,135561,96556,IN,EN,PT,Hybrid,DE,L +2022,Statistician in office,Analysis,us dolars,124436,132148,DE,SE,FT,Hybrid,CN,M +2020,Data Engineer in office,Engineering,EUR,46533,40485,IN,MI,FT,Remote,CN,L +2022,Data Engineer (Remote),Analysis,GBP,127417,133746,MX,EN,FL,Remote,IN,S +2020,Data Engineer (Remote),,,123318,136255,CN,,FT,Remote,JP, +2022,Data Scientist (Remote),Data Science,INR,70429,38802,MX,EN,FL,In-person,JP,S +2020,Statistician ,ML/AI,GBP,116348,63314,MX,EN,FL,In-person,UK,L +2021,Data Engineer (Remote),Engineering,EUR,103065,49565,CN,SE,FT,Hybrid,MX,L +2020,Data Analyst (Remote),ML/AI,us dolars,181725,123153,DE,SE,FL,Hybrid,CN,L +2022,Machine Learning Engineer in office,Data Science,INR,123396,121145,US,MI,PT,Remote,UK,L +2020,Machine Learning Engineer (Remote),,,43654,74233,IN,,FL,Remote,MX, +2020,Data Engineer (Remote),,,163180,78384,JP,,PT,Remote,IN, +2020,Machine Learning Engineer in office,ML/AI,us dolars,99483,108253,DE,EN,PT,Hybrid,US,L +2021,Machine Learning Engineer (Remote),Data Science,INR,37899,67669,IN,SE,PT,Remote,UK,M +2020,Data Scientist in office,Analysis,INR,174444,187344,US,SE,FT,Hybrid,MX,L +2021,Data Analyst in office,,,-198754,172914,MX,,PT,Hybrid,MX, +2021,Data Analyst in office,Analysis,INR,125909,94099,JP,EX,FT,In-person,IN,L +2020,Data Scientist in office,,,134971,134012,JP,,CT,In-person,MX, +2020,Data Scientist in office,Analysis,EUR,121724,163154,MX,EX,PT,Hybrid,UK,S +2020,Machine Learning Engineer in office,Analysis,INR,197655,154878,US,SE,FL,Remote,UK,S +2022,Statistician in office,Data Science,EUR,59295,187333,IN,EN,CT,Hybrid,UK,M +2020,Machine Learning Engineer (Remote),Data Science,INR,110565,39795,MX,MI,CT,Hybrid,DE,M +2021,Data Scientist ,Analysis,GBP,79574,75309,UK,MI,PT,Hybrid,MX,L +2020,Data Analyst (Remote),Analysis,GBP,131067,50180,IN,EX,FT,Hybrid,DE,L +2022,Machine Learning Engineer in office,Data Science,GBP,60066,76335,MX,MI,CT,In-person,JP,L +2020,Statistician in office,,,-170017,122887,MX,,PT,In-person,DE, +2022,Machine Learning Engineer (Remote),ML/AI,EUR,59418,194340,DE,MI,CT,Hybrid,IN,S +2022,Data Engineer ,ML/AI,JPY,112607,185561,DE,EX,CT,In-person,UK,M +2020,Machine Learning Engineer (Remote),Data Science,us dolars,79874,152352,IN,EN,PT,In-person,DE,M +2021,Data Scientist (Remote),ML/AI,JPY,142158,132267,CN,EN,FL,Remote,CN,M +2022,Data Analyst (Remote),Data Science,INR,178202,107402,DE,SE,FL,In-person,UK,S +2020,Data Analyst ,Data Science,GBP,116257,140551,UK,SE,FL,In-person,US,L +2020,Data Scientist in office,Data Science,GBP,160538,131010,CN,MI,CT,Hybrid,JP,S +2021,Data Engineer ,Data Science,EUR,79635,110808,UK,EX,FT,In-person,DE,S +2022,Data Scientist (Remote),Engineering,INR,143023,150823,JP,EN,FT,In-person,CN,M +2022,Machine Learning Engineer (Remote),Analysis,JPY,129837,193233,DE,MI,CT,In-person,MX,S +2020,Data Scientist ,Analysis,INR,47404,150469,MX,MI,CT,Hybrid,CN,M +2020,Data Scientist ,Engineering,INR,102629,101922,CN,SE,PT,Hybrid,UK,S +2021,Data Engineer in office,ML/AI,GBP,43156,100874,IN,MI,FT,In-person,US,M +2021,Machine Learning Engineer in office,,,-79999,147253,CN,,CT,Hybrid,JP, +2022,Statistician ,Analysis,us dolars,174857,90361,MX,SE,FL,Hybrid,JP,L +2022,Statistician in office,ML/AI,GBP,44694,103836,JP,MI,FT,Remote,US,M +2020,Data Analyst (Remote),Analysis,JPY,197186,182472,UK,MI,CT,In-person,DE,S +2022,Data Scientist ,Analysis,EUR,99549,54641,JP,EN,PT,Remote,DE,M +2021,Data Analyst in office,Engineering,GBP,62799,99833,US,MI,PT,In-person,UK,S +2021,Data Engineer (Remote),,,-120288,180404,DE,,FT,In-person,IN, +2020,Statistician ,Engineering,GBP,172228,150899,IN,SE,FL,Remote,UK,L +2021,Data Scientist in office,Analysis,INR,171376,143398,UK,EN,FT,Remote,UK,L +2021,Data Engineer (Remote),Analysis,JPY,70645,176273,JP,SE,CT,In-person,MX,S +2021,Data Engineer ,Analysis,EUR,107614,76129,IN,SE,FL,Remote,UK,M +2021,Data Scientist in office,Data Science,GBP,163387,63808,DE,SE,CT,Remote,MX,S +2020,Data Engineer (Remote),Data Science,EUR,128369,108346,MX,MI,FL,Hybrid,US,L +2020,Data Scientist (Remote),Data Science,GBP,42420,103524,IN,EN,FL,In-person,JP,S +2022,Data Scientist (Remote),Engineering,GBP,48312,86625,DE,EX,CT,Hybrid,JP,S +2021,Machine Learning Engineer (Remote),Analysis,us dolars,51395,70327,DE,EN,FT,In-person,IN,M +2022,Data Analyst ,,,70301,180651,DE,,PT,Hybrid,DE, +2020,Data Engineer (Remote),Engineering,us dolars,76972,51483,JP,EN,FL,In-person,UK,L +2020,Data Engineer ,Engineering,EUR,93294,161575,MX,EX,FL,Hybrid,US,M +2020,Machine Learning Engineer ,,,110853,100880,DE,,PT,In-person,US, +2020,Machine Learning Engineer in office,ML/AI,GBP,150135,38947,IN,SE,FT,Hybrid,UK,M +2020,Machine Learning Engineer ,Analysis,JPY,112504,170605,MX,MI,PT,Remote,US,L +2020,Statistician (Remote),Data Science,us dolars,52854,70916,US,SE,FT,In-person,US,L +2020,Statistician ,Analysis,EUR,151373,155468,IN,SE,FL,Remote,MX,M +2021,Statistician ,Analysis,EUR,100780,37012,JP,EX,FL,Hybrid,UK,S +2022,Data Scientist in office,Engineering,EUR,192001,45213,DE,SE,CT,In-person,IN,L +2020,Data Engineer ,,,136458,188635,MX,,FT,Hybrid,US, +2021,Data Analyst in office,Engineering,JPY,87103,176284,US,EX,PT,Hybrid,JP,M +2021,Data Scientist ,,,-93620,125660,JP,,FT,Remote,CN, +2022,Data Engineer in office,Data Science,JPY,119590,90188,UK,EN,FT,In-person,JP,M +2020,Data Engineer ,Data Science,us dolars,114124,76576,UK,EX,FT,Hybrid,MX,S +2022,Machine Learning Engineer (Remote),Analysis,JPY,74590,40711,UK,MI,FT,Remote,MX,S +2020,Machine Learning Engineer ,Engineering,JPY,130196,39515,US,SE,PT,Remote,CN,L +2021,Data Scientist in office,ML/AI,JPY,102554,181265,MX,EN,CT,Remote,CN,M +2021,Machine Learning Engineer in office,Analysis,us dolars,171693,163496,IN,EX,FL,Remote,JP,L +2021,Data Engineer (Remote),Data Science,GBP,147781,74344,US,MI,PT,Hybrid,UK,L +2021,Machine Learning Engineer (Remote),ML/AI,us dolars,30973,89595,MX,SE,PT,Hybrid,CN,L +2022,Statistician in office,,,-88786,39200,US,,FL,Hybrid,JP, +2020,Machine Learning Engineer (Remote),Engineering,EUR,134919,184103,MX,EX,CT,In-person,DE,M +2020,Data Engineer ,ML/AI,EUR,67097,164288,US,EX,PT,In-person,US,M +2022,Data Scientist ,Data Science,us dolars,151403,30016,UK,SE,FL,Remote,MX,L +2020,Data Analyst (Remote),Engineering,GBP,64245,132974,CN,EN,CT,Hybrid,IN,S +2021,Machine Learning Engineer ,ML/AI,GBP,84841,187450,MX,SE,CT,Remote,CN,L +2020,Data Engineer ,Engineering,GBP,55346,130927,MX,SE,FT,Hybrid,JP,S +2021,Data Analyst (Remote),ML/AI,EUR,135633,192806,MX,EN,PT,In-person,UK,M +2022,Data Analyst in office,Analysis,us dolars,101980,108886,IN,EX,CT,Remote,MX,M +2020,Statistician ,Analysis,INR,120417,144817,CN,MI,PT,Hybrid,CN,L +2022,Data Analyst (Remote),Data Science,GBP,106942,175522,CN,MI,FL,Hybrid,IN,S +2020,Data Engineer in office,Analysis,GBP,135147,162545,US,EN,PT,Hybrid,MX,M +2021,Data Engineer ,Analysis,INR,120975,55525,IN,EN,CT,Remote,UK,M +2022,Machine Learning Engineer ,Analysis,us dolars,35972,189644,CN,EX,FL,In-person,IN,L +2020,Machine Learning Engineer (Remote),ML/AI,GBP,78063,72028,DE,MI,FL,Hybrid,IN,L +2021,Machine Learning Engineer ,ML/AI,us dolars,160017,198151,US,MI,FT,Remote,US,L +2022,Data Analyst in office,Engineering,GBP,87055,82047,US,EX,FL,Hybrid,CN,S +2022,Data Analyst (Remote),ML/AI,JPY,172003,60110,US,EN,CT,Remote,CN,S +2020,Statistician (Remote),Analysis,GBP,168774,131040,DE,EN,FT,In-person,CN,M +2020,Machine Learning Engineer (Remote),ML/AI,JPY,114834,149786,DE,EX,CT,Hybrid,IN,L +2020,Data Scientist (Remote),Data Science,us dolars,182612,122424,UK,EN,CT,Remote,DE,M +2021,Statistician in office,,,-87450,163018,JP,,FT,Hybrid,DE, +2020,Data Scientist in office,,,-95252,183015,IN,,FT,Remote,MX, +2022,Data Analyst in office,ML/AI,EUR,76904,45740,JP,SE,PT,In-person,DE,M +2022,Statistician in office,Analysis,INR,82320,144988,US,MI,CT,In-person,MX,L +2020,Statistician in office,Engineering,EUR,61000,104712,CN,MI,PT,Remote,UK,M +2020,Data Engineer in office,Data Science,JPY,125341,125402,US,EN,FL,In-person,US,L +2022,Data Analyst (Remote),Data Science,EUR,32599,67269,CN,EX,FL,Hybrid,UK,M +2021,Data Analyst (Remote),Engineering,EUR,117636,68682,UK,EN,PT,In-person,CN,M +2020,Statistician (Remote),Analysis,EUR,30018,150359,MX,EX,FT,Hybrid,CN,S +2020,Data Analyst in office,Analysis,GBP,161930,185673,JP,MI,FL,In-person,JP,S +2022,Statistician (Remote),ML/AI,INR,187064,62850,MX,MI,FT,In-person,CN,M +2020,Data Engineer in office,ML/AI,us dolars,193652,71132,MX,MI,PT,Hybrid,DE,M +2021,Statistician (Remote),Engineering,INR,100916,166876,US,EX,FT,In-person,US,L +2022,Data Analyst in office,ML/AI,JPY,196872,115061,JP,EX,CT,Hybrid,DE,S +2020,Data Analyst in office,ML/AI,GBP,149193,82034,UK,MI,FL,Hybrid,US,S +2022,Statistician in office,ML/AI,GBP,88770,75061,JP,EN,FT,In-person,UK,M +2020,Statistician ,Data Science,EUR,67487,188491,CN,EX,FT,In-person,CN,L +2020,Statistician ,ML/AI,EUR,174015,184818,IN,SE,CT,Hybrid,UK,S +2020,Machine Learning Engineer in office,Engineering,JPY,132342,108348,MX,MI,FT,Remote,DE,M +2021,Data Analyst (Remote),Analysis,GBP,91457,186408,UK,EX,PT,In-person,IN,M +2021,Data Analyst in office,ML/AI,us dolars,48836,144892,JP,MI,PT,In-person,US,M +2022,Machine Learning Engineer in office,Analysis,INR,131150,75952,US,SE,PT,Remote,CN,M +2020,Statistician ,ML/AI,GBP,41394,125996,DE,EN,FL,Remote,JP,M +2020,Data Engineer in office,Engineering,us dolars,102158,155982,DE,SE,FT,In-person,MX,S +2021,Statistician ,,,154660,89379,UK,,FL,In-person,IN, +2020,Statistician (Remote),Engineering,INR,140599,195392,DE,EN,FL,In-person,UK,L +2021,Machine Learning Engineer (Remote),Data Science,us dolars,55280,136120,IN,EX,FT,Remote,US,M +2020,Data Analyst (Remote),ML/AI,JPY,154221,157852,UK,EN,FT,In-person,IN,L +2022,Statistician in office,ML/AI,us dolars,107318,128111,US,EN,PT,Remote,MX,M +2020,Data Analyst ,Data Science,JPY,162231,66516,US,EN,FL,Remote,JP,M +2020,Data Scientist in office,Engineering,us dolars,100162,101114,UK,MI,FL,Hybrid,IN,M +2021,Data Analyst (Remote),,,-184512,152078,DE,,FT,Remote,JP, +2020,Data Engineer in office,Data Science,us dolars,82712,159657,DE,EX,FL,Hybrid,UK,M +2020,Data Engineer ,ML/AI,JPY,139578,91240,US,EN,CT,Remote,US,L +2021,Statistician ,Data Science,us dolars,167661,71798,IN,MI,FT,Remote,UK,S +2022,Data Analyst (Remote),ML/AI,us dolars,78241,148371,CN,EN,PT,Hybrid,US,M +2022,Statistician (Remote),Data Science,us dolars,53233,96473,DE,EX,CT,Hybrid,IN,L +2021,Machine Learning Engineer (Remote),ML/AI,JPY,196083,155811,IN,EX,CT,Hybrid,UK,S +2021,Data Engineer in office,Data Science,us dolars,38177,161496,MX,EX,PT,Hybrid,US,M +2021,Statistician ,Analysis,INR,195600,139806,DE,EX,CT,Hybrid,CN,S +2021,Machine Learning Engineer in office,ML/AI,INR,144506,164123,CN,MI,CT,Hybrid,JP,M +2021,Statistician (Remote),Engineering,JPY,91351,131209,UK,SE,CT,Hybrid,US,L +2022,Data Analyst ,,,121908,126878,JP,,FL,Remote,CN, +2022,Data Analyst (Remote),Engineering,INR,81827,107774,US,MI,CT,Remote,UK,M +2021,Data Analyst ,Data Science,GBP,184580,57786,UK,EN,CT,Hybrid,UK,L +2020,Data Analyst ,Engineering,INR,110501,125204,DE,EX,FT,In-person,IN,L +2021,Data Scientist (Remote),Engineering,GBP,98772,162339,CN,EX,PT,Hybrid,JP,L +2020,Machine Learning Engineer ,Data Science,JPY,45611,49650,US,EX,FL,In-person,US,M +2021,Machine Learning Engineer ,,,183354,37017,JP,,FL,Remote,UK, +2021,Data Analyst (Remote),,,71003,170921,JP,,PT,Remote,US, +2022,Data Scientist ,Engineering,GBP,172412,92453,CN,EX,FL,In-person,DE,S +2020,Data Analyst (Remote),Engineering,INR,126629,97762,CN,EX,FL,Remote,JP,L +2020,Data Scientist in office,ML/AI,GBP,116643,165460,DE,EN,FL,Hybrid,JP,L +2022,Data Analyst in office,ML/AI,JPY,104684,97958,US,SE,FT,In-person,CN,M +2022,Data Engineer (Remote),Analysis,JPY,138610,107568,MX,MI,FT,In-person,DE,L +2022,Data Engineer ,ML/AI,JPY,150332,102852,MX,SE,FL,Remote,JP,S +2022,Statistician in office,ML/AI,INR,113035,163915,DE,EX,PT,In-person,DE,M +2020,Data Analyst (Remote),Data Science,EUR,48165,58015,JP,SE,PT,In-person,US,L +2020,Machine Learning Engineer (Remote),Analysis,INR,139322,76546,UK,SE,FT,In-person,MX,S +2021,Statistician ,Analysis,JPY,179332,81055,UK,MI,FT,Remote,DE,M +2021,Data Engineer ,ML/AI,INR,84515,132528,IN,MI,CT,In-person,IN,S +2022,Data Analyst ,Data Science,JPY,139446,133283,JP,EN,FT,In-person,CN,M +2022,Statistician (Remote),Data Science,us dolars,60480,79577,MX,EX,FL,Hybrid,DE,M +2022,Data Analyst in office,Analysis,us dolars,89789,196241,MX,EN,FT,Hybrid,US,M +2021,Data Engineer (Remote),Data Science,GBP,62191,59415,JP,MI,CT,In-person,JP,L +2021,Statistician ,Engineering,EUR,89488,176757,DE,EN,CT,Remote,IN,M +2021,Data Engineer ,,,-197116,45963,IN,,PT,In-person,DE, +2021,Data Scientist (Remote),Engineering,JPY,117457,190770,CN,SE,PT,Remote,CN,L +2021,Data Engineer ,Analysis,INR,132476,92415,IN,MI,FL,Hybrid,CN,L +2021,Data Analyst ,Analysis,INR,173908,86400,US,SE,FT,Hybrid,US,L +2021,Machine Learning Engineer (Remote),Data Science,GBP,104525,144731,DE,EX,CT,In-person,IN,M +2022,Data Engineer in office,Data Science,INR,82648,85450,CN,MI,CT,Remote,IN,L +2022,Machine Learning Engineer ,Analysis,us dolars,43740,116962,CN,EX,PT,Remote,IN,S +2022,Data Scientist in office,Analysis,INR,125716,181650,MX,MI,PT,Remote,DE,S +2022,Statistician in office,Engineering,us dolars,174174,148639,UK,MI,FT,In-person,US,M +2021,Statistician in office,,,-159677,58842,US,,CT,Remote,US, +2020,Machine Learning Engineer in office,Data Science,EUR,143917,46531,IN,MI,PT,Hybrid,US,S +2021,Statistician ,Engineering,GBP,191327,163242,UK,MI,FT,Remote,MX,S +2020,Data Engineer ,,,-131630,151843,JP,,FT,Remote,UK, +2022,Machine Learning Engineer (Remote),Data Science,us dolars,55221,168369,DE,SE,FT,In-person,JP,L +2021,Data Analyst ,ML/AI,GBP,93265,34163,IN,EX,PT,In-person,US,M +2022,Data Engineer (Remote),Data Science,JPY,30719,70794,JP,MI,PT,In-person,UK,S +2021,Data Engineer in office,Engineering,INR,184212,71787,CN,EX,PT,In-person,UK,M +2022,Data Engineer (Remote),Analysis,GBP,162141,138248,MX,EN,FL,In-person,IN,S +2020,Data Analyst (Remote),Analysis,GBP,84714,87219,IN,MI,FL,Remote,JP,L +2020,Data Scientist ,Engineering,GBP,103285,131243,UK,EX,FL,Remote,IN,S +2020,Statistician (Remote),Analysis,INR,42935,140224,US,SE,PT,In-person,JP,S +2021,Machine Learning Engineer in office,Data Science,INR,149362,54448,UK,EN,PT,In-person,MX,S +2020,Data Scientist ,Analysis,GBP,74035,86437,DE,EN,FL,Remote,IN,L +2021,Machine Learning Engineer ,Engineering,EUR,156687,58299,MX,EX,CT,In-person,CN,L +2020,Statistician ,Analysis,us dolars,126256,107093,DE,MI,CT,Hybrid,DE,S +2020,Data Analyst in office,Data Science,INR,189009,199720,IN,MI,CT,Remote,JP,S +2021,Data Engineer (Remote),Data Science,EUR,48540,175168,UK,SE,CT,Hybrid,CN,L +2021,Data Engineer ,Engineering,INR,103480,155113,US,SE,FL,Remote,UK,L +2020,Data Analyst (Remote),Engineering,GBP,78702,129317,CN,MI,FT,Remote,UK,L +2021,Data Scientist in office,Engineering,EUR,108283,168463,DE,EN,FT,Remote,JP,S +2020,Data Scientist in office,,,197979,104891,US,,CT,Remote,IN, +2021,Machine Learning Engineer in office,ML/AI,us dolars,176293,70286,JP,SE,PT,Remote,MX,M +2022,Data Analyst ,Data Science,us dolars,84781,121353,IN,EN,CT,Remote,DE,L +2022,Data Scientist ,ML/AI,INR,37087,141027,US,MI,CT,Remote,DE,M +2022,Data Analyst (Remote),ML/AI,us dolars,52789,67595,IN,EX,FT,In-person,US,S +2022,Statistician (Remote),Analysis,JPY,194472,158840,JP,SE,PT,In-person,JP,M +2022,Data Engineer ,ML/AI,EUR,163271,92740,US,EN,FT,In-person,DE,M +2020,Data Engineer in office,Analysis,EUR,117273,80929,MX,SE,PT,Hybrid,IN,M +2022,Data Engineer in office,Engineering,GBP,145310,62827,US,EN,FL,Remote,IN,L +2022,Data Analyst ,Analysis,EUR,177816,56209,CN,SE,FT,In-person,UK,S +2022,Data Analyst (Remote),Analysis,INR,128231,127654,JP,MI,FL,In-person,DE,L +2022,Machine Learning Engineer in office,Engineering,JPY,43894,138947,MX,EN,FL,In-person,DE,M +2021,Data Engineer ,Engineering,GBP,190232,103396,MX,EX,CT,Remote,IN,L +2020,Machine Learning Engineer (Remote),Data Science,INR,83095,174878,UK,EX,PT,Remote,UK,S +2022,Data Engineer (Remote),Data Science,INR,59272,143254,US,SE,FT,Hybrid,DE,S +2022,Machine Learning Engineer in office,Data Science,INR,84021,186478,CN,EX,CT,Hybrid,MX,S +2022,Machine Learning Engineer in office,Data Science,us dolars,63645,195432,US,SE,FT,Remote,MX,S +2020,Statistician in office,Analysis,INR,142079,110000,CN,EN,FL,Hybrid,IN,M +2021,Machine Learning Engineer in office,,,51179,68865,MX,,FT,In-person,UK, +2020,Data Analyst (Remote),Data Science,EUR,40691,167530,DE,EX,FT,Hybrid,UK,M +2021,Machine Learning Engineer ,ML/AI,us dolars,159436,39151,MX,EX,CT,In-person,IN,M +2022,Data Engineer (Remote),Data Science,INR,75311,160759,UK,MI,PT,Hybrid,UK,M +2022,Machine Learning Engineer in office,ML/AI,JPY,125381,102024,US,EN,FT,In-person,CN,L +2020,Data Scientist ,Engineering,JPY,54967,185613,JP,EX,FL,Hybrid,CN,S +2020,Data Engineer (Remote),Analysis,EUR,58478,154001,IN,EX,FL,Hybrid,UK,M +2021,Data Scientist ,Analysis,INR,70332,182875,JP,EX,CT,Remote,US,S +2021,Data Engineer (Remote),ML/AI,us dolars,168138,73183,UK,SE,FL,Remote,UK,S +2020,Data Analyst ,Data Science,JPY,69313,92323,DE,MI,FT,In-person,MX,M +2021,Data Analyst (Remote),Analysis,GBP,97857,153978,DE,EN,PT,Remote,DE,M +2020,Data Analyst (Remote),ML/AI,INR,75900,120254,DE,EX,FT,In-person,UK,S +2021,Data Scientist in office,,,156861,172242,CN,,CT,Remote,DE, +2020,Statistician (Remote),Engineering,GBP,71098,77284,JP,EX,FL,Remote,IN,S +2020,Data Engineer in office,Analysis,JPY,38294,170332,IN,SE,FT,In-person,UK,L +2020,Data Analyst (Remote),Data Science,GBP,199173,168708,MX,EN,FT,Hybrid,IN,L +2021,Data Engineer ,,,186131,132491,MX,,FL,In-person,JP, +2021,Data Scientist ,Analysis,us dolars,126784,66108,IN,EX,PT,In-person,MX,L +2021,Statistician in office,Engineering,us dolars,70626,45941,MX,SE,PT,In-person,CN,S +2020,Data Scientist (Remote),Data Science,JPY,50703,189427,CN,SE,PT,Remote,UK,S +2021,Data Engineer in office,ML/AI,GBP,133693,102836,US,MI,FL,Remote,IN,M +2021,Statistician ,Analysis,INR,164277,117719,CN,MI,FT,Remote,JP,S +2020,Statistician (Remote),ML/AI,INR,196001,194805,IN,EN,CT,In-person,DE,M +2022,Data Scientist in office,Data Science,INR,194483,37444,IN,MI,FT,Hybrid,DE,M +2020,Data Analyst ,Data Science,EUR,41628,121291,US,EN,FL,Hybrid,CN,S +2021,Data Engineer ,Engineering,EUR,133655,118598,JP,MI,FL,In-person,CN,L +2020,Machine Learning Engineer (Remote),Data Science,INR,36518,175682,JP,EX,FT,In-person,MX,S +2022,Machine Learning Engineer (Remote),Analysis,JPY,199563,96036,UK,MI,FL,Hybrid,MX,S +2020,Data Scientist (Remote),ML/AI,EUR,169018,34554,JP,EX,FT,Remote,DE,L +2021,Data Engineer in office,Data Science,EUR,30610,55545,DE,EN,FT,In-person,DE,M +2022,Data Engineer in office,Data Science,us dolars,64311,160745,DE,MI,PT,Hybrid,DE,L +2021,Data Scientist (Remote),Analysis,us dolars,156419,91971,UK,MI,FL,Hybrid,US,S +2022,Data Engineer (Remote),ML/AI,JPY,71876,76059,IN,MI,FL,Hybrid,MX,S +2022,Data Analyst (Remote),ML/AI,EUR,80333,167843,UK,EX,PT,Remote,CN,L +2020,Data Scientist ,,,-114192,99468,US,,PT,Hybrid,IN, +2020,Data Analyst (Remote),Engineering,GBP,71811,56055,UK,MI,PT,Hybrid,JP,L +2021,Data Engineer in office,ML/AI,JPY,100072,198274,UK,EN,CT,Hybrid,JP,M +2020,Data Scientist ,Analysis,JPY,145407,188772,CN,EX,FL,In-person,UK,L +2020,Data Engineer (Remote),,,-72974,33567,DE,,FT,In-person,IN, +2022,Data Scientist in office,Engineering,GBP,180928,56627,US,EN,FT,In-person,CN,L +2020,Data Engineer ,Data Science,us dolars,111983,199640,CN,EN,FT,Hybrid,US,S +2022,Data Analyst ,Analysis,JPY,75823,181832,US,EN,FL,Hybrid,US,M +2022,Data Analyst in office,Data Science,JPY,128863,191057,UK,EX,CT,Remote,IN,M +2022,Data Engineer in office,Analysis,GBP,130037,109944,CN,MI,FL,Hybrid,DE,L +2021,Data Scientist ,ML/AI,INR,97078,125368,CN,MI,FL,Remote,DE,S +2021,Machine Learning Engineer in office,Engineering,INR,137767,70785,US,SE,FL,Hybrid,IN,M +2021,Data Analyst ,Data Science,us dolars,97951,196655,US,MI,FL,Remote,CN,L +2022,Data Analyst ,Data Science,INR,139287,194810,JP,SE,FL,In-person,JP,M +2021,Machine Learning Engineer ,ML/AI,INR,173977,54204,MX,SE,CT,Hybrid,DE,L +2021,Data Engineer ,,,-51601,46643,US,,PT,Remote,UK, +2020,Data Scientist (Remote),Data Science,EUR,133691,100561,CN,SE,FT,In-person,CN,L +2021,Data Engineer in office,Analysis,us dolars,78435,67126,IN,EN,FL,In-person,CN,S +2021,Statistician (Remote),ML/AI,GBP,185116,88126,US,EN,FL,Hybrid,US,M +2022,Data Analyst (Remote),Engineering,INR,41246,112424,DE,EN,FL,Remote,MX,S +2022,Statistician (Remote),,,-32458,154453,JP,,FT,Remote,DE, +2022,Data Analyst (Remote),Analysis,INR,36028,75258,DE,SE,CT,Remote,JP,M +2022,Data Analyst ,Data Science,EUR,149247,64527,MX,SE,FT,In-person,CN,S +2022,Statistician ,Analysis,us dolars,81901,53898,DE,EN,CT,Remote,DE,S +2022,Statistician ,Analysis,INR,167378,33794,IN,EX,PT,In-person,DE,L +2021,Data Engineer ,Analysis,EUR,136555,175770,JP,MI,FL,Remote,US,S +2022,Statistician (Remote),ML/AI,JPY,57678,173404,MX,EN,CT,In-person,UK,L +2022,Data Engineer ,Engineering,JPY,120444,39593,UK,EX,FT,Hybrid,CN,S +2020,Data Engineer (Remote),Data Science,EUR,42363,88132,CN,MI,CT,In-person,MX,M +2021,Data Engineer ,Engineering,INR,175138,150973,CN,EX,CT,Remote,UK,S +2021,Data Analyst in office,Analysis,INR,93804,131633,US,MI,PT,In-person,JP,S +2021,Data Analyst in office,Analysis,us dolars,144433,41036,CN,SE,FL,Remote,MX,S +2022,Statistician in office,Engineering,us dolars,78544,124097,IN,SE,FL,Hybrid,IN,L +2022,Data Analyst in office,Engineering,GBP,128247,83164,CN,EX,FT,In-person,IN,M +2022,Statistician ,Data Science,us dolars,30189,180423,IN,EX,FT,Hybrid,MX,M +2020,Data Analyst in office,Analysis,INR,41752,88413,UK,MI,PT,In-person,IN,S +2022,Data Scientist in office,Engineering,GBP,37482,48059,IN,EX,CT,In-person,JP,S +2020,Data Scientist (Remote),ML/AI,us dolars,46679,57188,UK,EX,CT,Hybrid,CN,L +2021,Statistician in office,,,153056,128591,UK,,FT,Hybrid,DE, +2022,Data Analyst ,Analysis,JPY,30799,111795,UK,MI,FL,In-person,UK,S +2020,Data Analyst (Remote),Data Science,us dolars,151691,41829,IN,SE,CT,In-person,UK,S +2020,Data Engineer ,ML/AI,us dolars,171006,103673,MX,EN,PT,In-person,DE,M +2022,Machine Learning Engineer (Remote),Data Science,EUR,87558,54502,UK,EX,FT,Hybrid,CN,S +2021,Statistician ,ML/AI,INR,89223,188276,MX,MI,CT,Remote,MX,S +2021,Machine Learning Engineer in office,Data Science,EUR,71556,31265,IN,SE,FL,Hybrid,UK,M +2021,Machine Learning Engineer (Remote),ML/AI,us dolars,170981,196823,JP,EN,FL,In-person,CN,L +2020,Statistician in office,ML/AI,INR,121467,185387,UK,EX,PT,In-person,MX,S +2020,Data Analyst ,ML/AI,GBP,140719,77457,IN,SE,PT,Hybrid,MX,S +2020,Statistician ,Engineering,us dolars,121404,76875,IN,EN,FT,In-person,MX,M +2020,Machine Learning Engineer (Remote),Analysis,EUR,73558,90359,MX,EX,FT,In-person,UK,M +2021,Data Analyst ,ML/AI,GBP,189085,136334,IN,SE,FL,In-person,IN,L +2022,Data Scientist ,Engineering,JPY,133018,152950,US,EX,FL,In-person,IN,L +2020,Statistician (Remote),Engineering,GBP,183947,194451,MX,EN,CT,In-person,US,S +2020,Statistician in office,,,-41408,94102,MX,,CT,Remote,US, +2021,Data Analyst (Remote),Analysis,GBP,65607,131827,US,SE,CT,Hybrid,UK,L +2022,Data Scientist ,Analysis,EUR,91684,122688,UK,EN,PT,Hybrid,IN,L +2022,Data Scientist ,Data Science,us dolars,197353,89469,CN,EX,PT,Hybrid,CN,S +2021,Data Analyst (Remote),Analysis,INR,57326,125789,JP,EN,CT,Remote,US,L +2021,Data Engineer (Remote),,,-43601,195468,CN,,FL,Remote,US, +2022,Statistician in office,Engineering,INR,154594,43176,UK,MI,FT,Hybrid,IN,L +2020,Statistician ,Engineering,INR,31135,95036,DE,SE,PT,Hybrid,CN,M +2022,Machine Learning Engineer ,ML/AI,INR,183813,37907,DE,EN,PT,Hybrid,US,L +2021,Data Analyst in office,Data Science,EUR,41913,33372,JP,MI,CT,In-person,DE,L +2020,Machine Learning Engineer (Remote),Engineering,EUR,40101,188644,MX,MI,FT,Remote,MX,M +2020,Machine Learning Engineer (Remote),Engineering,JPY,179703,54592,JP,MI,PT,Remote,CN,M +2021,Data Scientist in office,Data Science,EUR,132820,174174,JP,EX,FT,In-person,DE,S +2021,Statistician (Remote),,,197942,138093,US,,PT,Remote,IN, +2021,Machine Learning Engineer in office,Analysis,EUR,188287,186714,US,MI,FT,Hybrid,IN,M +2022,Data Scientist (Remote),Engineering,EUR,92110,33139,DE,MI,FT,Remote,US,S +2022,Data Analyst (Remote),Data Science,us dolars,49215,107179,JP,MI,PT,In-person,UK,L +2020,Machine Learning Engineer (Remote),Analysis,JPY,175096,48643,IN,SE,FT,Hybrid,JP,S +2021,Statistician in office,Analysis,EUR,106949,134425,CN,SE,FL,Remote,DE,L +2020,Machine Learning Engineer in office,Engineering,JPY,111855,90117,DE,MI,PT,Hybrid,DE,L +2020,Data Analyst in office,ML/AI,GBP,136279,189852,JP,EN,PT,Remote,CN,L +2020,Machine Learning Engineer ,Analysis,us dolars,171583,136485,IN,EX,FL,Hybrid,CN,M +2020,Statistician ,Data Science,EUR,151898,143607,JP,EN,FT,In-person,IN,S +2021,Data Scientist in office,ML/AI,us dolars,180995,90332,MX,EN,FL,In-person,MX,S +2020,Statistician ,ML/AI,us dolars,171630,60632,UK,MI,PT,Remote,UK,M +2021,Data Scientist ,Analysis,GBP,30526,199565,IN,EN,FL,Remote,IN,M +2021,Data Engineer (Remote),Engineering,JPY,31753,190480,MX,SE,FT,Hybrid,US,S +2022,Statistician (Remote),ML/AI,us dolars,187320,117157,CN,SE,FL,In-person,UK,M +2021,Statistician (Remote),Engineering,INR,44656,187011,UK,EX,PT,Hybrid,US,M +2022,Data Analyst ,Analysis,GBP,53266,66843,MX,SE,FT,In-person,DE,L +2021,Machine Learning Engineer ,,,94555,68930,US,,PT,Hybrid,IN, +2021,Data Scientist in office,ML/AI,GBP,92995,190942,DE,MI,PT,Hybrid,CN,L +2021,Data Scientist ,Data Science,INR,108277,135940,JP,SE,CT,Hybrid,IN,M +2022,Data Analyst ,Engineering,INR,132345,88103,DE,EN,PT,Remote,JP,M +2022,Data Analyst in office,Engineering,us dolars,126111,70770,CN,EN,PT,In-person,UK,L +2020,Machine Learning Engineer in office,,,-95402,141757,JP,,FT,Remote,MX, +2022,Machine Learning Engineer in office,Analysis,GBP,153747,60158,UK,EX,FT,Remote,DE,S +2022,Statistician (Remote),,,-44418,118992,IN,,FT,Hybrid,JP, +2022,Data Engineer in office,ML/AI,us dolars,67185,77401,IN,EX,FL,In-person,JP,L +2022,Machine Learning Engineer (Remote),ML/AI,us dolars,71745,174064,JP,SE,FL,Remote,IN,S +2020,Data Analyst ,Analysis,EUR,110123,186462,UK,EX,FT,Hybrid,UK,S +2022,Machine Learning Engineer ,Analysis,us dolars,117804,75858,JP,SE,FL,In-person,IN,S +2021,Data Scientist (Remote),Data Science,JPY,198425,177828,JP,EN,CT,In-person,UK,S +2021,Data Engineer (Remote),Engineering,EUR,141055,183043,MX,EX,FL,Remote,JP,M +2022,Statistician (Remote),Engineering,INR,149097,168143,JP,EX,CT,Hybrid,US,S +2022,Data Scientist ,ML/AI,INR,78302,114811,IN,EX,FT,Remote,DE,S +2021,Data Scientist ,Analysis,EUR,152561,159970,CN,EN,FT,In-person,JP,M +2021,Data Engineer in office,Data Science,EUR,183507,36586,JP,SE,FL,Remote,IN,S +2020,Statistician in office,ML/AI,EUR,87728,49703,IN,EN,FT,Hybrid,MX,S +2021,Data Analyst ,Data Science,GBP,128598,106177,US,EN,FT,In-person,MX,S +2021,Statistician in office,Analysis,JPY,31238,66735,UK,MI,PT,Hybrid,DE,M +2022,Machine Learning Engineer in office,Analysis,JPY,111610,128525,US,EX,FT,Hybrid,JP,L +2021,Data Scientist (Remote),Analysis,INR,174121,69648,JP,SE,PT,In-person,UK,S +2020,Machine Learning Engineer ,Engineering,INR,87193,173201,IN,SE,FT,Hybrid,MX,S +2021,Data Analyst (Remote),Analysis,INR,196656,66656,UK,MI,CT,Hybrid,IN,S +2022,Machine Learning Engineer ,ML/AI,us dolars,96634,190737,DE,MI,CT,Hybrid,MX,S +2022,Statistician ,,,-44679,174571,UK,,FT,In-person,JP, +2021,Machine Learning Engineer (Remote),Data Science,EUR,64505,105888,UK,MI,CT,Hybrid,UK,L +2022,Data Analyst ,ML/AI,INR,81341,49654,JP,SE,CT,Remote,UK,S +2020,Data Analyst (Remote),ML/AI,EUR,80374,160117,MX,SE,CT,Remote,UK,S +2020,Data Analyst (Remote),Data Science,GBP,76998,116613,US,SE,FL,Hybrid,MX,M +2021,Statistician ,Engineering,us dolars,157203,48982,US,EN,CT,Remote,DE,L +2021,Data Analyst ,ML/AI,us dolars,63178,129970,DE,EX,PT,Remote,IN,L +2021,Data Scientist (Remote),ML/AI,JPY,188647,111848,JP,EX,FL,In-person,UK,L +2022,Data Analyst in office,ML/AI,GBP,180401,139577,UK,EN,PT,Hybrid,JP,S +2020,Machine Learning Engineer in office,,,137373,109874,MX,,PT,In-person,UK, +2020,Machine Learning Engineer ,Engineering,GBP,134139,60173,CN,SE,PT,Hybrid,IN,S +2022,Machine Learning Engineer ,Engineering,us dolars,130290,156765,US,EN,FL,Remote,CN,M +2020,Statistician in office,ML/AI,EUR,88951,67525,US,EN,FT,In-person,CN,M +2021,Machine Learning Engineer ,Analysis,GBP,117629,57328,IN,MI,CT,In-person,DE,M +2021,Statistician ,Data Science,us dolars,196243,172432,UK,EN,CT,Remote,UK,S +2021,Statistician in office,Analysis,EUR,169334,146242,JP,EX,FT,Remote,JP,S +2020,Data Analyst ,Engineering,EUR,181857,134419,US,EN,FT,Hybrid,IN,S +2021,Data Scientist in office,ML/AI,us dolars,98831,52625,MX,SE,PT,Hybrid,MX,L +2022,Data Analyst in office,ML/AI,EUR,111223,137576,JP,SE,FL,Remote,UK,M +2022,Data Analyst in office,Analysis,us dolars,75643,46471,UK,SE,PT,Remote,MX,M +2020,Statistician ,Analysis,INR,33582,69883,UK,EX,CT,In-person,DE,L +2022,Statistician (Remote),Data Science,INR,142781,32703,US,EX,FT,In-person,US,L +2022,Machine Learning Engineer (Remote),ML/AI,EUR,191352,95524,DE,MI,CT,Hybrid,CN,L +2020,Machine Learning Engineer (Remote),Analysis,EUR,134004,195587,JP,EN,FT,In-person,JP,S +2021,Data Analyst ,Data Science,us dolars,70000,45151,JP,MI,FL,Remote,CN,L +2021,Data Engineer ,Engineering,EUR,132592,79190,IN,EN,PT,Remote,UK,S +2021,Data Engineer ,Analysis,JPY,31085,86195,MX,EN,CT,Remote,UK,S +2020,Machine Learning Engineer ,Engineering,INR,176672,156559,UK,EX,FL,Remote,US,M +2022,Data Engineer (Remote),Data Science,EUR,127994,94108,UK,SE,CT,Hybrid,IN,L +2021,Machine Learning Engineer in office,Engineering,EUR,147309,179607,US,EN,FT,Remote,MX,S +2021,Statistician ,ML/AI,GBP,137114,132241,US,EX,CT,Remote,MX,S +2020,Data Analyst ,ML/AI,EUR,100410,135190,US,MI,FL,Remote,MX,L +2021,Data Scientist ,,,-56825,73050,IN,,FL,Remote,US, +2020,Data Analyst in office,ML/AI,INR,171985,62976,MX,MI,PT,Hybrid,MX,S +2022,Machine Learning Engineer (Remote),Data Science,GBP,114269,30599,DE,MI,CT,Hybrid,IN,S +2020,Machine Learning Engineer ,,,-44332,89867,US,,FT,In-person,UK, +2020,Data Analyst (Remote),Engineering,us dolars,84895,33709,US,SE,CT,Hybrid,US,S +2020,Machine Learning Engineer ,,,-165504,185182,CN,,PT,Hybrid,CN, +2020,Data Engineer (Remote),Engineering,us dolars,187642,79365,MX,MI,FT,Hybrid,MX,L +2022,Data Engineer ,Analysis,JPY,167175,35723,US,EN,FT,In-person,CN,M +2022,Machine Learning Engineer (Remote),Engineering,EUR,152046,142308,IN,SE,PT,Remote,MX,M +2021,Machine Learning Engineer ,Data Science,INR,176972,188466,JP,EX,FT,In-person,UK,M +2022,Data Engineer ,ML/AI,GBP,97567,94120,DE,EX,FL,Remote,US,S +2022,Machine Learning Engineer (Remote),ML/AI,EUR,92713,40316,JP,EX,FL,Hybrid,UK,S +2021,Machine Learning Engineer (Remote),Analysis,us dolars,88639,183694,CN,EN,FT,Remote,CN,M +2022,Data Analyst in office,Analysis,us dolars,170060,185916,UK,EN,CT,In-person,CN,M +2020,Data Scientist in office,Data Science,GBP,133603,136276,UK,SE,FT,Remote,UK,L +2020,Data Engineer in office,Engineering,JPY,108488,51162,US,EN,CT,Remote,MX,M +2021,Data Analyst in office,Analysis,GBP,122905,58833,CN,EX,PT,Hybrid,UK,S +2021,Data Scientist (Remote),ML/AI,INR,32977,178278,JP,MI,FL,Remote,DE,M +2021,Machine Learning Engineer in office,Analysis,GBP,145650,156515,IN,MI,FL,Remote,US,M +2020,Machine Learning Engineer ,Analysis,us dolars,84641,150788,DE,MI,PT,Hybrid,DE,L +2022,Data Analyst (Remote),Engineering,JPY,162340,81747,MX,EX,PT,In-person,UK,M +2020,Machine Learning Engineer ,,,-144465,120037,JP,,FL,Hybrid,JP, +2021,Statistician in office,,,84431,143850,CN,,PT,Remote,CN, +2022,Data Analyst in office,ML/AI,INR,46756,148641,CN,EN,FT,Hybrid,IN,M +2022,Data Scientist in office,Engineering,us dolars,181836,148519,MX,EN,FT,Hybrid,US,M +2020,Data Analyst (Remote),ML/AI,EUR,176104,149271,JP,EX,CT,Remote,US,S +2021,Data Engineer ,Data Science,JPY,172957,85387,DE,EN,CT,In-person,CN,S +2020,Data Analyst ,Data Science,GBP,39796,55226,JP,EN,CT,Hybrid,IN,L +2022,Machine Learning Engineer (Remote),Analysis,INR,134583,136287,JP,EX,FT,In-person,DE,L +2020,Machine Learning Engineer in office,Analysis,INR,193935,167572,DE,SE,FL,Hybrid,IN,S +2020,Statistician in office,Analysis,us dolars,111014,31634,IN,MI,CT,Remote,JP,L +2021,Statistician (Remote),ML/AI,JPY,193189,175131,MX,MI,FT,Remote,UK,S +2021,Statistician ,,,-181825,145855,CN,,FL,Hybrid,IN, +2022,Data Scientist ,Engineering,EUR,50325,34076,DE,SE,PT,Hybrid,MX,S +2020,Statistician ,Analysis,EUR,168093,136694,US,EX,FT,Hybrid,IN,S +2020,Data Scientist ,ML/AI,EUR,83096,68210,US,EN,PT,Remote,UK,L +2020,Statistician in office,Analysis,INR,174143,158798,US,EX,CT,Hybrid,CN,L +2022,Data Scientist in office,Data Science,JPY,94649,187003,US,MI,FL,Remote,US,L +2022,Data Analyst (Remote),,,-38041,62007,MX,,FT,Hybrid,CN, +2021,Data Analyst (Remote),Data Science,us dolars,70058,183816,UK,MI,CT,Remote,MX,M +2021,Machine Learning Engineer (Remote),ML/AI,EUR,78263,191468,IN,EX,CT,Hybrid,JP,L +2021,Data Scientist in office,Analysis,JPY,134820,118619,UK,EX,FL,In-person,CN,L +2020,Data Engineer in office,Data Science,JPY,137645,152315,JP,SE,PT,In-person,IN,L +2020,Machine Learning Engineer in office,ML/AI,GBP,58223,96038,JP,EX,CT,Remote,IN,L +2021,Data Analyst (Remote),,,-63575,173828,DE,,FL,Hybrid,US, +2020,Data Scientist in office,Engineering,JPY,51661,171677,US,SE,FL,In-person,JP,M +2021,Statistician ,Data Science,us dolars,66432,183488,DE,EN,FT,Hybrid,UK,L +2022,Data Engineer in office,Analysis,JPY,192219,86558,JP,EX,CT,Hybrid,UK,M +2021,Data Analyst ,Analysis,JPY,59114,198559,US,EX,PT,Hybrid,DE,M +2022,Machine Learning Engineer ,Analysis,us dolars,36030,136052,MX,SE,PT,In-person,JP,S +2020,Data Scientist ,Analysis,JPY,120051,123079,CN,MI,CT,Remote,JP,L +2021,Data Engineer in office,,,-77743,126816,IN,,PT,In-person,IN, +2020,Data Scientist (Remote),Analysis,GBP,155756,163942,JP,MI,FL,Remote,DE,S +2022,Statistician ,ML/AI,INR,95615,157942,CN,MI,FL,In-person,UK,L +2022,Machine Learning Engineer ,Data Science,us dolars,77577,165830,DE,EX,CT,Hybrid,MX,L +2022,Data Scientist in office,Analysis,us dolars,140436,141342,CN,EN,PT,Hybrid,JP,M +2020,Data Analyst in office,Data Science,JPY,32966,199808,DE,SE,FL,Hybrid,JP,S +2020,Machine Learning Engineer ,ML/AI,us dolars,159356,95138,JP,SE,CT,In-person,US,S +2020,Data Analyst (Remote),ML/AI,EUR,143838,80250,UK,EX,FL,In-person,UK,S +2020,Data Scientist in office,Data Science,EUR,33728,147857,MX,EX,CT,Remote,US,S +2022,Machine Learning Engineer ,Analysis,GBP,198376,145070,MX,SE,FT,In-person,DE,L +2022,Data Analyst (Remote),Analysis,us dolars,162019,70558,IN,SE,FT,Remote,JP,M +2021,Statistician in office,ML/AI,JPY,111380,83092,MX,EN,CT,In-person,DE,M +2021,Statistician (Remote),Analysis,JPY,96130,105121,CN,EX,FT,Hybrid,CN,S +2020,Data Scientist ,ML/AI,INR,51414,152140,MX,EN,FT,In-person,US,S +2022,Machine Learning Engineer (Remote),,,-123005,160877,CN,,PT,Hybrid,UK, +2022,Data Engineer ,ML/AI,JPY,180511,85604,JP,EX,FT,In-person,JP,M +2022,Machine Learning Engineer in office,Engineering,INR,121742,67039,MX,EN,PT,Remote,CN,L +2021,Statistician ,Analysis,JPY,66973,99859,JP,MI,FT,In-person,CN,L +2021,Data Analyst ,Analysis,INR,117091,122506,MX,MI,FT,Hybrid,UK,S +2022,Data Engineer in office,Analysis,EUR,167161,130342,DE,MI,FL,In-person,DE,L +2022,Data Scientist ,Data Science,EUR,92235,35461,US,EX,CT,Remote,CN,L +2022,Data Engineer (Remote),Analysis,JPY,59400,70831,US,EN,FT,Remote,IN,M +2021,Data Scientist in office,Data Science,GBP,176477,81137,US,MI,CT,Remote,UK,S +2022,Data Engineer (Remote),Data Science,us dolars,147240,64030,DE,SE,CT,Remote,CN,L +2022,Data Scientist in office,ML/AI,GBP,82763,166803,US,MI,FL,In-person,UK,S +2020,Data Scientist ,,,-191281,51500,JP,,CT,Remote,UK, +2020,Data Engineer (Remote),Data Science,us dolars,178496,63117,UK,EX,CT,In-person,JP,L +2021,Data Engineer in office,Engineering,EUR,136810,124138,UK,EN,FT,In-person,DE,M +2022,Data Scientist (Remote),Analysis,EUR,119523,192246,MX,EX,FL,In-person,DE,L +2022,Statistician in office,Data Science,us dolars,139955,63208,UK,EN,CT,Remote,JP,M +2020,Data Engineer in office,Analysis,INR,181628,114728,US,EN,FT,Remote,UK,L +2021,Machine Learning Engineer (Remote),Data Science,GBP,123137,114482,UK,SE,FL,In-person,UK,S +2020,Data Analyst (Remote),ML/AI,JPY,180402,55960,CN,MI,FT,In-person,IN,M +2020,Data Scientist (Remote),Engineering,EUR,164308,171319,US,MI,FL,In-person,CN,M +2020,Data Scientist (Remote),Data Science,JPY,60312,126342,CN,EN,FL,Hybrid,UK,S +2020,Data Analyst in office,Analysis,us dolars,143687,137918,JP,MI,PT,Hybrid,CN,L +2022,Statistician (Remote),ML/AI,JPY,182263,144761,CN,SE,PT,Remote,US,M +2022,Data Analyst (Remote),Analysis,JPY,139602,56038,JP,EN,PT,Hybrid,CN,L +2020,Data Engineer (Remote),ML/AI,GBP,66640,188842,DE,MI,CT,In-person,UK,L +2021,Data Analyst (Remote),Engineering,us dolars,130171,152232,DE,MI,FT,In-person,IN,L +2021,Data Scientist (Remote),ML/AI,JPY,92293,102485,MX,EX,FL,Remote,US,S +2021,Data Analyst (Remote),,,-144124,87773,CN,,FT,Remote,IN, +2021,Machine Learning Engineer ,Analysis,us dolars,197760,113391,IN,MI,CT,Hybrid,CN,S +2020,Data Engineer ,Data Science,EUR,115802,82633,JP,EX,PT,In-person,IN,M +2022,Data Analyst in office,ML/AI,INR,122024,152226,US,EN,PT,Remote,CN,L +2021,Data Scientist (Remote),Analysis,JPY,185194,180636,IN,EN,FT,Remote,DE,M +2020,Data Engineer (Remote),Data Science,us dolars,167403,179186,JP,SE,FT,Hybrid,CN,L +2021,Data Scientist in office,Engineering,EUR,141411,62803,US,EX,FL,Remote,JP,M +2021,Statistician (Remote),Analysis,JPY,72262,145708,JP,EN,FT,Hybrid,IN,S +2020,Machine Learning Engineer (Remote),Data Science,GBP,146214,159997,JP,MI,FL,In-person,UK,M +2022,Statistician (Remote),Analysis,EUR,136435,133838,US,MI,FL,Hybrid,DE,M +2022,Machine Learning Engineer ,ML/AI,EUR,116314,53545,JP,MI,PT,Remote,MX,L +2020,Data Analyst (Remote),Data Science,INR,194998,92759,JP,SE,FT,Hybrid,US,L +2022,Data Engineer ,ML/AI,GBP,116287,136313,JP,EN,PT,Hybrid,CN,L +2020,Data Analyst (Remote),Engineering,INR,149318,106488,MX,EX,FL,In-person,JP,L +2020,Machine Learning Engineer (Remote),ML/AI,GBP,160134,147805,DE,EN,PT,Hybrid,DE,S +2020,Machine Learning Engineer in office,Data Science,EUR,154958,83866,UK,EX,PT,Remote,IN,M +2022,Machine Learning Engineer in office,Analysis,INR,47528,157145,JP,EX,FL,Remote,MX,M +2020,Data Scientist (Remote),Data Science,JPY,30068,100499,MX,EN,CT,In-person,MX,S +2021,Data Engineer (Remote),ML/AI,GBP,99253,108243,US,MI,CT,In-person,DE,M +2022,Data Analyst (Remote),ML/AI,EUR,110754,150779,CN,MI,FT,In-person,UK,L +2022,Data Analyst ,Analysis,us dolars,120938,173932,JP,EX,PT,Remote,UK,L +2022,Statistician (Remote),Engineering,GBP,72129,112946,MX,MI,FT,Hybrid,UK,L +2022,Machine Learning Engineer in office,Data Science,GBP,143996,148353,DE,SE,PT,Remote,JP,M +2021,Machine Learning Engineer ,Analysis,JPY,91321,47670,MX,SE,FT,Remote,MX,S +2022,Machine Learning Engineer (Remote),Analysis,GBP,41526,114766,DE,EX,FT,In-person,DE,S +2022,Data Analyst ,Analysis,GBP,187781,119694,CN,MI,FL,In-person,DE,M +2020,Statistician ,,,137535,196133,JP,,CT,Hybrid,MX, +2022,Data Scientist ,Data Science,JPY,45063,80764,IN,SE,CT,Hybrid,IN,S +2021,Data Engineer ,Data Science,INR,165795,145164,CN,SE,CT,Hybrid,US,L +2021,Data Scientist (Remote),Engineering,EUR,34213,53810,UK,SE,FL,Hybrid,UK,M +2021,Data Analyst in office,Analysis,EUR,52797,139660,US,EN,CT,Remote,US,S +2021,Machine Learning Engineer ,,,114946,120894,MX,,FL,Hybrid,MX, +2022,Data Engineer in office,ML/AI,EUR,118918,45933,US,MI,PT,Remote,MX,L +2022,Data Analyst ,Analysis,GBP,53655,191106,US,EN,FL,Remote,US,L +2021,Data Analyst in office,ML/AI,INR,173659,31947,US,SE,FT,Hybrid,UK,S +2021,Data Analyst ,Engineering,INR,52555,49715,DE,MI,FT,Hybrid,UK,M +2022,Data Engineer ,Engineering,EUR,58071,60956,MX,SE,PT,Remote,IN,M +2021,Data Engineer (Remote),Data Science,us dolars,50239,110846,UK,MI,PT,In-person,JP,L +2020,Statistician (Remote),Data Science,EUR,153441,46303,JP,MI,FT,Hybrid,UK,L +2021,Statistician ,,,127138,143318,JP,,CT,In-person,US, +2021,Data Scientist in office,Data Science,INR,79151,54031,IN,SE,CT,Remote,MX,S +2020,Data Engineer (Remote),Data Science,us dolars,32203,124786,JP,EN,CT,In-person,IN,M +2020,Data Engineer (Remote),ML/AI,GBP,174707,117389,UK,SE,PT,Remote,DE,S +2022,Data Engineer (Remote),,,162216,179049,JP,,FT,In-person,MX, +2022,Statistician (Remote),Data Science,us dolars,193771,72707,DE,EX,FL,In-person,IN,L +2020,Data Analyst ,Engineering,JPY,121663,175537,CN,EN,PT,In-person,UK,S +2020,Machine Learning Engineer in office,ML/AI,GBP,159844,105761,JP,MI,FT,Remote,MX,S +2022,Statistician (Remote),Engineering,JPY,42213,177712,US,MI,CT,Remote,CN,S +2021,Data Engineer (Remote),Engineering,GBP,46944,61535,US,EX,CT,Remote,UK,L +2020,Statistician in office,Analysis,JPY,96723,32991,CN,SE,CT,Hybrid,JP,S +2022,Data Scientist (Remote),Analysis,JPY,98947,178873,US,MI,FT,Remote,IN,S +2021,Data Engineer in office,Data Science,EUR,195529,119680,US,EX,CT,Hybrid,UK,L +2020,Data Scientist ,Engineering,us dolars,65191,37965,DE,EX,FT,Remote,US,M +2021,Data Engineer (Remote),,,102264,174802,DE,,PT,Hybrid,US, +2022,Statistician in office,Analysis,INR,194816,59553,DE,EX,FL,In-person,IN,L +2020,Data Analyst (Remote),Analysis,EUR,193958,148802,JP,EX,CT,In-person,MX,S +2021,Machine Learning Engineer ,Engineering,us dolars,129846,38301,CN,EX,PT,Remote,JP,S +2020,Data Scientist in office,Analysis,EUR,149550,48936,US,EX,PT,Hybrid,CN,M +2021,Statistician in office,Analysis,us dolars,114963,175227,IN,EX,FT,In-person,IN,L +2022,Data Analyst in office,ML/AI,GBP,30972,157978,CN,EX,PT,In-person,JP,M +2022,Statistician (Remote),Engineering,JPY,129219,157230,IN,MI,FT,Hybrid,US,M +2020,Data Scientist in office,Analysis,INR,167693,78848,US,EN,FT,Remote,UK,L +2021,Machine Learning Engineer in office,Engineering,EUR,79738,32042,UK,SE,PT,In-person,DE,M +2020,Statistician in office,Analysis,EUR,84777,179637,CN,EN,FT,Remote,UK,S +2020,Data Engineer ,ML/AI,EUR,44530,67260,JP,SE,FT,Remote,US,L +2021,Data Analyst in office,Engineering,EUR,168426,66326,IN,EN,FT,Hybrid,CN,L +2021,Statistician in office,,,76529,72581,CN,,PT,Hybrid,MX, +2021,Data Analyst in office,ML/AI,us dolars,132895,164730,CN,EX,FL,In-person,US,S +2022,Data Engineer ,Analysis,JPY,81714,111855,DE,EN,FT,Hybrid,UK,S +2020,Machine Learning Engineer in office,Engineering,GBP,154750,114614,UK,EN,CT,In-person,UK,M +2020,Machine Learning Engineer (Remote),Analysis,JPY,150883,132188,DE,SE,PT,In-person,CN,M +2022,Data Engineer in office,Engineering,JPY,173622,198620,UK,SE,PT,In-person,CN,M +2021,Data Analyst (Remote),Engineering,GBP,118196,180740,UK,MI,FT,Remote,US,M +2022,Statistician ,Analysis,JPY,90385,183618,JP,EX,PT,Remote,UK,M +2022,Data Engineer ,ML/AI,us dolars,94736,67874,CN,EX,CT,Hybrid,MX,M +2022,Data Scientist in office,Data Science,INR,60268,81318,DE,MI,FL,Hybrid,DE,L +2020,Data Analyst in office,ML/AI,GBP,165362,67165,DE,SE,PT,In-person,DE,L +2022,Machine Learning Engineer ,ML/AI,EUR,60138,86820,IN,EX,PT,In-person,IN,L +2020,Data Engineer ,Analysis,us dolars,154650,75411,CN,SE,PT,Remote,DE,L +2020,Machine Learning Engineer ,ML/AI,INR,43432,115312,US,EX,FT,Remote,US,L +2020,Data Analyst (Remote),ML/AI,us dolars,97058,66479,US,EN,CT,In-person,US,L +2021,Machine Learning Engineer (Remote),Data Science,us dolars,88175,150567,IN,EN,FL,In-person,IN,M +2020,Data Engineer in office,ML/AI,EUR,63329,129890,UK,EX,CT,Hybrid,MX,L +2020,Data Analyst (Remote),Data Science,INR,173400,69906,IN,EX,CT,In-person,JP,S +2021,Data Scientist ,Analysis,us dolars,195319,159523,IN,EX,PT,In-person,MX,L +2020,Data Engineer in office,Data Science,EUR,36677,103198,DE,MI,FL,In-person,IN,S +2022,Statistician (Remote),Engineering,GBP,80357,102940,IN,EX,CT,Remote,JP,S +2022,Data Engineer in office,,,85812,39542,MX,,FL,Remote,JP, +2020,Data Analyst (Remote),Data Science,JPY,71616,57774,UK,MI,FT,Hybrid,UK,M +2021,Data Engineer in office,Engineering,EUR,75534,169628,US,EN,PT,Hybrid,CN,M +2022,Data Scientist ,Analysis,EUR,94162,108342,JP,EX,FT,Hybrid,DE,S +2021,Data Scientist ,,,74711,147887,CN,,FL,In-person,MX, +2021,Statistician ,Data Science,us dolars,183877,156081,IN,EN,PT,In-person,JP,S +2022,Machine Learning Engineer (Remote),Analysis,INR,125980,44864,CN,MI,FT,Remote,UK,M +2021,Data Analyst in office,Engineering,EUR,50143,125552,IN,SE,PT,In-person,IN,M +2022,Data Analyst in office,Analysis,EUR,138380,88989,MX,MI,FT,In-person,IN,M +2021,Machine Learning Engineer in office,Data Science,JPY,177089,86093,CN,EN,CT,Remote,MX,M +2022,Data Scientist (Remote),Engineering,JPY,71423,63749,DE,MI,PT,Hybrid,MX,L +2020,Data Scientist ,,,71713,89739,DE,,FL,In-person,JP, +2022,Data Engineer ,Analysis,GBP,104310,47305,CN,MI,PT,Remote,MX,L +2022,Statistician in office,Engineering,JPY,32205,107474,IN,EX,FL,Remote,UK,S +2022,Statistician in office,Analysis,INR,83266,46318,MX,MI,FT,Hybrid,US,L +2022,Statistician (Remote),Analysis,GBP,173414,82810,MX,EN,FT,Remote,MX,L +2021,Data Engineer in office,Data Science,INR,111863,156662,IN,MI,FL,Hybrid,CN,L +2020,Statistician in office,Data Science,JPY,182272,151752,UK,EX,FT,Hybrid,CN,M +2022,Machine Learning Engineer (Remote),Data Science,GBP,168260,198892,US,EN,PT,Hybrid,DE,M +2021,Data Engineer in office,Data Science,EUR,156233,91800,US,MI,FT,Hybrid,JP,M +2020,Machine Learning Engineer ,Data Science,JPY,32808,100942,MX,EN,FL,Hybrid,US,M +2020,Data Engineer (Remote),Data Science,GBP,43851,50661,JP,EX,FL,Remote,DE,M +2020,Statistician ,Engineering,INR,160982,113394,US,SE,CT,In-person,US,L +2020,Machine Learning Engineer in office,Data Science,INR,176130,60816,JP,EX,FL,Hybrid,CN,L +2022,Machine Learning Engineer in office,,,-44620,42850,DE,,FT,Hybrid,UK, +2022,Machine Learning Engineer (Remote),Engineering,INR,92995,187716,JP,EN,FL,In-person,MX,M +2021,Data Engineer (Remote),Analysis,GBP,66681,82919,JP,EN,FT,In-person,JP,L +2021,Data Analyst (Remote),,,94509,57428,US,,FT,Hybrid,US, +2021,Statistician (Remote),Data Science,INR,97703,135023,MX,SE,CT,In-person,US,M +2020,Machine Learning Engineer in office,Analysis,us dolars,72136,144160,IN,SE,FT,Hybrid,US,S +2020,Data Analyst in office,,,123699,136898,MX,,FL,Remote,CN, +2022,Statistician ,Analysis,JPY,118456,194452,DE,EX,FL,In-person,JP,L +2020,Statistician ,ML/AI,EUR,113086,102822,UK,SE,FL,In-person,UK,S +2020,Machine Learning Engineer (Remote),ML/AI,JPY,197415,105604,JP,SE,FT,Remote,UK,M +2020,Machine Learning Engineer in office,ML/AI,JPY,147529,164089,JP,SE,FL,In-person,US,L +2021,Data Engineer (Remote),ML/AI,EUR,48254,39926,CN,MI,PT,Remote,UK,L +2021,Data Analyst (Remote),Engineering,GBP,91273,74508,JP,MI,PT,Hybrid,DE,L +2022,Data Analyst (Remote),Data Science,INR,147574,184558,MX,SE,FL,In-person,UK,M +2020,Machine Learning Engineer (Remote),Analysis,us dolars,144847,155799,IN,EX,FT,In-person,US,M +2020,Statistician (Remote),Data Science,us dolars,135547,125933,UK,EN,FL,Remote,DE,S +2022,Machine Learning Engineer in office,Analysis,us dolars,42926,190583,MX,EX,PT,Hybrid,JP,L +2020,Statistician ,,,119527,155030,CN,,FT,Hybrid,IN, +2020,Statistician (Remote),Engineering,EUR,137387,144541,MX,SE,FL,Remote,CN,S +2021,Machine Learning Engineer in office,ML/AI,GBP,57563,40002,US,MI,FT,In-person,UK,M +2022,Data Scientist (Remote),Data Science,us dolars,191760,78586,DE,MI,FL,In-person,MX,L +2022,Data Analyst in office,Analysis,GBP,195202,98737,IN,EN,CT,Remote,DE,S +2022,Statistician ,Data Science,us dolars,30925,159157,UK,SE,FT,Remote,IN,L +2022,Statistician ,Engineering,EUR,81595,57048,DE,MI,PT,Remote,JP,M +2021,Data Scientist in office,Engineering,INR,160249,157912,US,SE,PT,In-person,IN,M +2021,Data Engineer (Remote),Data Science,INR,46321,109517,DE,SE,PT,Remote,JP,S +2020,Data Scientist ,ML/AI,INR,171841,175597,CN,EN,PT,Hybrid,US,S +2020,Data Scientist (Remote),Analysis,INR,197820,151443,JP,SE,FL,Remote,US,L +2020,Statistician (Remote),Engineering,JPY,46151,82634,JP,SE,FL,Hybrid,CN,M +2020,Data Analyst in office,Engineering,us dolars,106133,91491,IN,EN,FT,Hybrid,CN,M +2021,Data Scientist (Remote),Data Science,INR,64187,152416,DE,MI,CT,Remote,JP,S +2022,Data Engineer in office,Engineering,JPY,73835,35565,MX,EX,CT,Hybrid,IN,S +2021,Machine Learning Engineer in office,Engineering,JPY,30059,110483,JP,SE,FT,In-person,CN,L +2020,Data Scientist in office,Analysis,JPY,57235,136234,IN,EN,PT,Remote,UK,M +2021,Data Scientist ,ML/AI,GBP,124208,102053,IN,MI,CT,In-person,IN,L +2022,Data Engineer (Remote),Analysis,GBP,97114,44287,CN,SE,CT,In-person,CN,L +2022,Data Analyst in office,ML/AI,JPY,159191,107365,IN,EX,FT,Hybrid,IN,S +2021,Data Scientist in office,,,142831,163494,US,,PT,In-person,MX, +2021,Data Scientist (Remote),,,151889,59060,MX,,FL,In-person,UK, +2021,Data Analyst ,Engineering,EUR,111583,71633,JP,SE,FL,Remote,IN,L +2020,Data Engineer in office,,,-62160,135251,JP,,CT,Remote,IN, +2021,Data Scientist in office,Data Science,INR,129011,43790,UK,EX,FL,In-person,DE,M +2021,Data Analyst in office,Engineering,INR,35277,161059,US,EX,FT,Hybrid,JP,M +2021,Data Scientist in office,Engineering,EUR,162852,186240,JP,EN,CT,Hybrid,US,M +2022,Machine Learning Engineer (Remote),Engineering,EUR,147101,185091,CN,SE,CT,Remote,CN,M +2022,Statistician in office,Analysis,INR,90750,33668,JP,EN,PT,Remote,MX,S +2020,Machine Learning Engineer ,Data Science,EUR,86902,106280,UK,MI,FL,Remote,CN,S +2020,Data Scientist (Remote),Data Science,INR,146849,58754,DE,EN,PT,Hybrid,CN,S +2022,Data Engineer ,Engineering,EUR,127052,115058,DE,EX,CT,Remote,JP,S +2022,Statistician (Remote),ML/AI,EUR,157894,34509,US,SE,FL,In-person,IN,L +2022,Machine Learning Engineer (Remote),Data Science,INR,193233,163572,IN,SE,PT,Hybrid,UK,S +2021,Data Analyst (Remote),Analysis,JPY,192958,148981,UK,EX,FL,In-person,UK,S +2021,Data Engineer ,ML/AI,INR,169872,105440,UK,EX,CT,Remote,US,M +2022,Machine Learning Engineer ,ML/AI,us dolars,79460,56921,JP,MI,CT,Hybrid,US,L +2021,Data Analyst in office,ML/AI,EUR,159424,84551,CN,EX,CT,Remote,US,S +2021,Data Scientist ,ML/AI,GBP,100975,46683,JP,EX,FT,Hybrid,UK,L +2020,Data Analyst in office,Data Science,EUR,163436,107952,CN,EX,PT,Remote,IN,L +2022,Machine Learning Engineer (Remote),Engineering,us dolars,46568,44833,UK,SE,PT,Hybrid,US,L +2022,Machine Learning Engineer in office,ML/AI,GBP,199164,48290,IN,EX,CT,Hybrid,US,L +2021,Data Scientist ,Analysis,GBP,92679,44003,DE,EN,PT,Hybrid,MX,M +2022,Data Analyst (Remote),Analysis,INR,95781,153086,US,EN,CT,In-person,UK,M +2020,Data Analyst (Remote),Engineering,JPY,38430,101656,MX,SE,PT,Remote,CN,L +2020,Data Scientist in office,Data Science,INR,68692,71253,CN,MI,FL,Remote,IN,L +2020,Data Analyst in office,Engineering,GBP,60086,118022,DE,MI,PT,Hybrid,US,L +2022,Data Scientist ,ML/AI,GBP,79671,183778,US,SE,CT,In-person,IN,M +2022,Data Engineer (Remote),Data Science,JPY,174973,117231,IN,EN,PT,Hybrid,DE,M +2022,Machine Learning Engineer in office,,,-33907,134791,UK,,FL,Remote,CN, +2022,Data Engineer (Remote),ML/AI,JPY,58604,62716,IN,EX,FL,Remote,CN,L +2022,Statistician ,,,67869,36880,CN,,FL,Hybrid,US, +2020,Statistician (Remote),ML/AI,EUR,175609,58949,UK,MI,CT,Hybrid,US,L +2021,Statistician in office,Engineering,INR,173573,96064,JP,EN,FT,Hybrid,MX,M +2020,Data Scientist ,ML/AI,JPY,149261,73093,US,MI,CT,Remote,UK,S +2022,Data Analyst ,Analysis,EUR,198443,183916,JP,MI,FL,Hybrid,CN,S +2020,Data Engineer (Remote),ML/AI,JPY,144639,183432,UK,EN,PT,Hybrid,MX,M +2022,Data Engineer in office,Engineering,us dolars,141690,117941,MX,EX,FL,Remote,DE,M +2022,Data Engineer (Remote),Engineering,GBP,197893,157668,US,EN,FT,Hybrid,DE,S +2020,Data Engineer (Remote),Analysis,EUR,155592,154240,US,EN,FT,In-person,DE,S +2022,Statistician (Remote),Engineering,GBP,36073,73322,JP,SE,FL,Remote,JP,S +2021,Data Engineer in office,Engineering,us dolars,48101,181776,US,EN,CT,Hybrid,UK,L +2022,Data Analyst (Remote),ML/AI,EUR,192498,78181,UK,SE,FT,Hybrid,UK,S +2021,Statistician (Remote),,,-124877,191661,MX,,FL,Remote,US, +2021,Data Engineer ,Engineering,GBP,37313,117972,CN,EN,CT,Remote,UK,L +2022,Data Scientist ,Engineering,EUR,191845,142431,CN,EX,PT,In-person,US,L +2020,Machine Learning Engineer ,,,-189075,120179,UK,,CT,Hybrid,MX, +2021,Machine Learning Engineer in office,Analysis,GBP,89668,113562,JP,SE,FT,Hybrid,US,L +2020,Machine Learning Engineer (Remote),ML/AI,EUR,121956,170284,IN,EX,CT,Hybrid,JP,S +2021,Statistician (Remote),ML/AI,GBP,145087,174922,UK,SE,CT,Remote,MX,L +2022,Data Engineer ,Engineering,GBP,149451,69767,CN,SE,PT,Remote,UK,M +2022,Statistician (Remote),Data Science,INR,122675,37322,UK,EX,FL,Remote,UK,S +2021,Data Analyst in office,Data Science,INR,121634,65911,US,MI,CT,Hybrid,JP,M +2022,Data Scientist (Remote),ML/AI,us dolars,174654,35678,US,EN,PT,Hybrid,JP,M +2021,Data Scientist ,Analysis,INR,139119,95265,UK,EN,FT,Remote,MX,M +2022,Machine Learning Engineer in office,Engineering,INR,174832,96918,JP,EN,FL,In-person,MX,L +2020,Machine Learning Engineer (Remote),Engineering,us dolars,101791,182852,IN,EN,FT,Hybrid,UK,L +2022,Machine Learning Engineer (Remote),Data Science,GBP,112158,188578,US,EN,FL,In-person,UK,M +2020,Data Engineer (Remote),ML/AI,GBP,197055,90510,CN,EN,CT,Remote,MX,M +2022,Data Analyst in office,,,59715,72202,MX,,CT,Hybrid,US, +2020,Data Analyst (Remote),Data Science,us dolars,197487,162777,US,EN,FL,In-person,IN,M +2022,Data Analyst ,ML/AI,GBP,118260,117983,CN,SE,FT,Hybrid,CN,L +2020,Data Analyst ,Analysis,JPY,164724,120016,MX,EX,FT,In-person,US,L +2021,Machine Learning Engineer ,Engineering,EUR,56297,61051,IN,MI,FT,Hybrid,DE,M +2021,Data Scientist ,Analysis,EUR,175100,147282,MX,SE,CT,In-person,DE,L +2020,Machine Learning Engineer in office,ML/AI,EUR,174875,107665,US,MI,FL,In-person,IN,S +2022,Data Analyst ,ML/AI,INR,36307,154559,MX,EX,FL,Remote,CN,L +2020,Machine Learning Engineer ,Engineering,EUR,192397,191857,JP,EN,FT,Remote,JP,M +2022,Data Analyst ,Analysis,EUR,88616,152827,CN,MI,CT,In-person,DE,L +2021,Statistician in office,Engineering,JPY,192646,59402,US,MI,FL,Hybrid,JP,S +2022,Data Scientist in office,Data Science,GBP,149828,32704,US,EX,FL,In-person,JP,S +2021,Statistician (Remote),Data Science,JPY,176004,57027,UK,EX,FT,Hybrid,US,L +2022,Data Engineer ,Data Science,INR,176821,89092,JP,EX,FT,Hybrid,JP,S +2022,Machine Learning Engineer (Remote),Analysis,EUR,38727,35725,JP,SE,FL,Hybrid,IN,S +2022,Data Engineer in office,Data Science,GBP,47332,94105,UK,SE,CT,Hybrid,US,L +2020,Machine Learning Engineer (Remote),Engineering,EUR,171906,186295,MX,MI,PT,Remote,IN,L +2020,Statistician in office,Analysis,EUR,181397,122305,CN,EX,FL,In-person,JP,L +2021,Data Analyst (Remote),Engineering,INR,170285,188456,DE,MI,FL,Hybrid,DE,M +2021,Data Analyst ,,,-143741,92993,IN,,CT,Remote,CN, +2020,Machine Learning Engineer in office,Analysis,us dolars,162475,127681,JP,EX,FL,Hybrid,JP,S +2021,Data Analyst in office,Engineering,GBP,86971,138033,DE,SE,PT,Hybrid,IN,S +2020,Statistician in office,Engineering,GBP,103042,60027,CN,EX,CT,Remote,UK,L +2022,Data Analyst ,Analysis,us dolars,125195,173839,IN,MI,PT,Remote,UK,S +2021,Statistician ,,,-168663,117017,JP,,PT,Hybrid,DE, +2021,Data Engineer in office,Analysis,EUR,157144,48354,US,EN,FL,In-person,MX,M +2020,Statistician in office,Data Science,EUR,42996,78777,JP,EN,PT,Remote,CN,L +2021,Data Scientist ,Data Science,GBP,82485,182973,IN,MI,FL,In-person,IN,S +2021,Data Scientist ,ML/AI,INR,77830,79966,MX,EX,FL,Hybrid,DE,L +2022,Data Scientist ,Engineering,INR,64370,46515,DE,EN,CT,Hybrid,US,L +2021,Machine Learning Engineer ,Engineering,INR,87572,185878,MX,MI,CT,Hybrid,JP,L +2022,Machine Learning Engineer ,Engineering,EUR,59098,128698,US,SE,CT,Hybrid,MX,S +2020,Machine Learning Engineer ,Analysis,INR,32196,33573,IN,SE,FL,Hybrid,US,L +2021,Statistician (Remote),Analysis,us dolars,172163,135410,CN,MI,PT,Hybrid,UK,L +2022,Machine Learning Engineer ,ML/AI,JPY,79262,73915,MX,EX,PT,In-person,JP,S +2020,Data Engineer ,Data Science,INR,167095,35060,IN,EX,CT,Remote,US,M +2021,Data Scientist in office,Engineering,JPY,50543,159471,JP,EX,CT,Hybrid,UK,M +2020,Statistician in office,Data Science,EUR,132171,85421,CN,EX,FL,Remote,CN,S +2021,Data Scientist (Remote),Analysis,INR,100540,75610,UK,MI,FT,In-person,US,M +2020,Machine Learning Engineer ,Analysis,GBP,171035,40933,UK,MI,FT,Hybrid,JP,L +2020,Statistician in office,Analysis,EUR,174868,102168,MX,SE,FL,Hybrid,US,S +2022,Data Analyst in office,Data Science,us dolars,70972,73898,US,SE,FT,Remote,MX,L +2020,Data Engineer (Remote),ML/AI,us dolars,102613,35589,IN,EX,FT,Remote,MX,L +2021,Machine Learning Engineer ,ML/AI,JPY,125384,41612,DE,EN,FT,Remote,JP,S +2021,Machine Learning Engineer in office,Analysis,JPY,108062,77611,US,EN,CT,Hybrid,US,L +2022,Data Engineer ,Engineering,GBP,33261,48888,CN,SE,PT,Remote,DE,S +2021,Data Engineer (Remote),,,47046,49417,MX,,PT,Remote,CN, +2021,Data Analyst (Remote),Analysis,us dolars,43397,75440,US,MI,CT,In-person,US,M +2021,Machine Learning Engineer ,Data Science,INR,120805,196816,MX,SE,CT,Hybrid,US,L +2020,Machine Learning Engineer (Remote),Data Science,us dolars,55757,41891,JP,SE,CT,Hybrid,MX,L +2020,Data Scientist in office,ML/AI,us dolars,176371,102131,CN,EX,FT,Hybrid,MX,S +2021,Statistician (Remote),Analysis,GBP,162974,92093,DE,EN,FL,Remote,DE,M +2022,Statistician (Remote),ML/AI,JPY,148859,58557,IN,EN,FL,In-person,MX,L +2020,Data Scientist ,Analysis,GBP,72399,141129,CN,MI,FT,Remote,UK,L +2022,Statistician in office,,,78330,113817,IN,,FT,Hybrid,JP, +2021,Data Engineer ,,,-164918,32192,IN,,CT,Remote,IN, +2021,Statistician ,Data Science,us dolars,173431,64946,US,EX,CT,Hybrid,UK,M +2020,Statistician ,Analysis,INR,98056,79884,JP,MI,PT,Remote,JP,M +2021,Data Scientist (Remote),Engineering,us dolars,70832,76360,US,SE,CT,Remote,US,M +2020,Data Analyst (Remote),ML/AI,EUR,181170,93252,UK,SE,FT,Hybrid,UK,L +2021,Statistician ,ML/AI,GBP,147095,158651,UK,EX,PT,Remote,US,M +2021,Statistician (Remote),Data Science,GBP,134987,71472,IN,MI,CT,Hybrid,UK,M +2020,Data Analyst (Remote),,,-118672,65455,JP,,PT,Remote,UK, +2020,Data Scientist ,Engineering,GBP,65885,58672,CN,EN,PT,Remote,IN,S +2020,Data Analyst in office,ML/AI,GBP,51157,33756,IN,EN,CT,Remote,DE,L +2021,Data Scientist in office,Analysis,GBP,49674,136927,CN,EX,FL,Hybrid,UK,S +2021,Data Engineer (Remote),,,-62357,100030,IN,,FT,Remote,MX, +2022,Data Scientist in office,ML/AI,us dolars,42578,88151,US,EN,FT,Remote,US,S +2020,Data Engineer in office,,,-158457,64047,IN,,PT,In-person,IN, +2021,Data Engineer (Remote),ML/AI,INR,163323,163293,IN,SE,FL,In-person,UK,S +2021,Data Scientist in office,Engineering,EUR,198501,35164,JP,EN,FL,Hybrid,MX,S +2020,Machine Learning Engineer (Remote),Analysis,JPY,186571,63622,JP,EX,CT,Hybrid,DE,S +2022,Data Scientist ,Analysis,EUR,167493,65980,MX,SE,CT,Hybrid,US,M +2020,Statistician in office,,,185663,149528,CN,,FT,Hybrid,IN, +2022,Statistician ,Data Science,EUR,133229,114688,JP,EN,CT,Remote,JP,S +2021,Machine Learning Engineer ,ML/AI,JPY,173274,184684,IN,MI,CT,Remote,CN,M +2022,Data Engineer (Remote),Data Science,INR,153981,108066,JP,EN,PT,Hybrid,DE,L +2021,Machine Learning Engineer in office,Engineering,JPY,180362,149947,JP,EN,FL,Hybrid,MX,L +2020,Statistician in office,Analysis,EUR,179202,118660,DE,EN,FL,In-person,JP,L +2020,Machine Learning Engineer in office,Analysis,JPY,67077,138115,DE,EN,CT,Hybrid,JP,L +2020,Data Scientist in office,Data Science,EUR,145136,63043,UK,EN,CT,In-person,IN,M +2022,Machine Learning Engineer (Remote),ML/AI,INR,180468,151886,US,EX,CT,Hybrid,IN,L +2021,Data Engineer ,,,90530,107831,MX,,FT,Hybrid,IN, +2020,Data Scientist in office,,,148179,96250,MX,,FT,Remote,MX, +2020,Data Analyst in office,Engineering,INR,57122,199894,US,SE,PT,Hybrid,MX,L +2021,Statistician (Remote),Analysis,GBP,59381,96345,JP,EX,FT,In-person,JP,M +2020,Statistician in office,Engineering,JPY,135614,115898,UK,MI,FL,Remote,CN,S +2021,Machine Learning Engineer in office,Analysis,JPY,184339,161108,UK,EN,FT,In-person,US,S +2021,Data Scientist ,Engineering,EUR,143271,193474,CN,MI,FL,Hybrid,IN,M +2021,Data Analyst in office,Data Science,INR,168160,120034,MX,SE,FT,Remote,DE,M +2021,Data Scientist in office,Engineering,us dolars,127354,123923,DE,MI,FT,In-person,IN,S +2021,Statistician ,Engineering,us dolars,157728,40273,UK,EN,PT,Hybrid,CN,S +2022,Data Scientist in office,Data Science,us dolars,42822,186102,IN,SE,CT,In-person,IN,L +2020,Data Analyst ,Analysis,GBP,197661,157419,CN,EN,CT,Hybrid,CN,M +2022,Machine Learning Engineer (Remote),Analysis,INR,162508,82460,MX,EN,CT,In-person,IN,S +2020,Data Engineer ,Data Science,us dolars,141201,140803,JP,EX,PT,Hybrid,JP,S +2022,Data Scientist ,Engineering,GBP,57281,106939,IN,SE,FL,In-person,CN,M +2021,Data Engineer in office,Engineering,JPY,118017,180111,US,SE,FT,Remote,US,M +2020,Statistician in office,Engineering,EUR,126005,44017,MX,EN,PT,Hybrid,IN,S +2020,Machine Learning Engineer in office,ML/AI,INR,114403,112901,DE,MI,FL,Hybrid,JP,M +2022,Machine Learning Engineer in office,,,136023,143000,IN,,PT,In-person,DE, +2022,Data Scientist ,Engineering,JPY,52766,69215,JP,MI,PT,Hybrid,US,S +2020,Machine Learning Engineer (Remote),Analysis,INR,182285,42583,IN,MI,FL,Remote,JP,L +2022,Data Scientist in office,Engineering,INR,123891,193991,IN,SE,CT,In-person,CN,L +2022,Data Scientist ,Data Science,INR,92239,77025,UK,MI,FT,In-person,UK,M +2022,Data Engineer (Remote),Data Science,INR,183609,87943,DE,SE,CT,In-person,DE,M +2021,Machine Learning Engineer (Remote),Analysis,GBP,163866,170586,US,EX,PT,Remote,DE,S +2021,Data Scientist (Remote),Analysis,GBP,193396,199488,JP,SE,FL,Remote,UK,L +2022,Data Engineer ,Data Science,EUR,86764,31511,CN,SE,PT,Hybrid,JP,M +2022,Data Analyst in office,ML/AI,INR,60858,179714,CN,SE,CT,In-person,JP,S +2021,Data Engineer ,Data Science,JPY,72850,112151,JP,EX,CT,Remote,MX,L +2021,Data Engineer in office,Engineering,us dolars,174090,54225,US,MI,CT,Hybrid,CN,S +2020,Data Scientist (Remote),ML/AI,EUR,157171,181918,JP,EX,FT,Remote,DE,L +2020,Statistician (Remote),Data Science,us dolars,113017,59152,UK,MI,CT,Remote,MX,S +2021,Statistician ,ML/AI,us dolars,80790,136053,CN,SE,FT,Remote,JP,L +2022,Statistician (Remote),ML/AI,INR,111120,96107,MX,SE,FT,Hybrid,UK,S +2022,Data Engineer ,ML/AI,JPY,39850,154387,CN,EX,CT,Remote,MX,S +2022,Data Scientist in office,Analysis,us dolars,136759,187260,MX,EX,FL,Remote,JP,M +2022,Machine Learning Engineer (Remote),Data Science,us dolars,95696,90910,IN,EX,PT,Remote,DE,L +2020,Data Engineer in office,Analysis,EUR,186904,72530,UK,EX,PT,In-person,JP,L +2021,Data Engineer (Remote),Analysis,JPY,117826,108753,CN,SE,FT,Remote,US,M +2022,Data Scientist in office,Engineering,JPY,185958,71999,UK,SE,FT,In-person,UK,M +2020,Data Analyst (Remote),Engineering,us dolars,169490,36609,UK,EN,FT,Remote,UK,S +2022,Data Engineer in office,ML/AI,JPY,153152,79322,US,EX,PT,In-person,IN,L +2021,Data Analyst (Remote),ML/AI,EUR,37081,35151,CN,EX,FT,Remote,JP,S +2020,Data Analyst ,Engineering,EUR,132716,36406,MX,MI,FL,In-person,CN,S +2021,Statistician in office,Engineering,EUR,171186,92678,DE,MI,FL,In-person,UK,S +2021,Data Scientist in office,Data Science,INR,48722,77062,MX,SE,FT,In-person,JP,M +2020,Data Analyst ,ML/AI,us dolars,117508,194028,US,EN,PT,Remote,US,L +2020,Data Scientist ,ML/AI,JPY,159752,141377,US,EX,CT,Hybrid,MX,M +2020,Statistician ,Engineering,EUR,47985,83830,UK,EN,PT,In-person,DE,M +2020,Data Scientist (Remote),Data Science,us dolars,166960,43133,DE,EN,CT,In-person,DE,L +2020,Data Engineer ,,,150234,42209,US,,CT,In-person,IN, +2020,Data Analyst (Remote),Engineering,INR,113845,139828,DE,EN,FT,In-person,IN,M +2020,Data Scientist (Remote),,,153446,104681,CN,,FL,In-person,CN, +2022,Machine Learning Engineer ,ML/AI,JPY,180371,84345,UK,SE,FT,Hybrid,UK,M +2021,Data Scientist ,Data Science,EUR,136747,72585,US,EN,CT,Remote,CN,L +2020,Data Analyst (Remote),Analysis,EUR,52036,64638,DE,SE,FT,Hybrid,UK,L +2022,Statistician in office,ML/AI,us dolars,59346,50645,JP,SE,CT,Remote,UK,S +2022,Statistician in office,Engineering,JPY,143507,48408,MX,MI,FT,Hybrid,US,L +2022,Data Analyst ,,,144673,42521,US,,FL,Remote,IN, +2021,Data Engineer in office,ML/AI,EUR,56691,117414,US,EN,FL,In-person,IN,L +2020,Data Engineer (Remote),Engineering,GBP,135578,158432,US,MI,PT,Remote,DE,L +2022,Statistician in office,Analysis,us dolars,47986,153520,DE,EX,CT,Remote,IN,L +2021,Statistician (Remote),Data Science,JPY,188918,68221,IN,EX,CT,In-person,IN,M +2021,Data Analyst ,ML/AI,INR,79665,130131,CN,EX,FT,In-person,US,S +2021,Data Engineer ,Analysis,INR,143408,182158,MX,EX,PT,Remote,CN,S +2022,Statistician in office,Engineering,GBP,103728,46923,US,EX,FL,Remote,UK,M +2020,Data Engineer ,Engineering,EUR,80054,111761,JP,EN,FT,In-person,CN,M +2022,Statistician ,ML/AI,EUR,199559,37202,JP,SE,PT,Hybrid,MX,S +2022,Data Scientist (Remote),,,-170484,125675,UK,,FL,In-person,MX, +2020,Machine Learning Engineer (Remote),Data Science,INR,111499,198278,IN,SE,FT,Remote,US,L +2020,Data Scientist (Remote),ML/AI,EUR,129159,180957,IN,SE,FL,Remote,JP,L +2020,Statistician (Remote),Analysis,INR,96553,140443,DE,EN,CT,Remote,DE,S +2021,Machine Learning Engineer ,ML/AI,GBP,35279,41218,UK,EN,PT,In-person,DE,L +2020,Machine Learning Engineer (Remote),ML/AI,us dolars,37712,75692,MX,EN,FL,In-person,DE,S +2022,Statistician (Remote),Analysis,JPY,45817,127148,DE,MI,PT,Hybrid,CN,M +2020,Statistician (Remote),Engineering,GBP,123616,36716,UK,EN,FT,Remote,UK,S +2022,Data Engineer in office,Analysis,INR,167696,46088,CN,SE,PT,Remote,UK,S +2021,Statistician (Remote),Data Science,GBP,190198,61001,IN,MI,FT,In-person,UK,L +2022,Data Analyst ,Engineering,JPY,110667,183656,MX,EN,PT,Remote,DE,S +2022,Statistician ,ML/AI,us dolars,198534,161022,CN,EN,FT,Hybrid,DE,S +2020,Data Analyst (Remote),Engineering,JPY,56093,34286,MX,EN,FT,In-person,CN,S +2020,Statistician in office,Engineering,INR,141030,165811,DE,SE,FT,Remote,CN,M +2022,Data Engineer in office,Data Science,JPY,147385,60158,UK,EN,FL,In-person,MX,L +2020,Data Analyst in office,Engineering,GBP,193597,130393,IN,SE,CT,In-person,DE,L +2021,Data Scientist in office,Engineering,EUR,59030,35605,IN,MI,PT,Hybrid,JP,S +2021,Data Analyst (Remote),Engineering,GBP,74067,86492,MX,EN,CT,In-person,JP,S +2020,Data Engineer (Remote),ML/AI,INR,166279,33321,MX,EX,CT,Remote,MX,M +2021,Data Analyst ,Engineering,us dolars,106433,42170,MX,EX,CT,Hybrid,CN,L +2020,Statistician ,Analysis,JPY,56639,86045,US,SE,CT,In-person,DE,L +2022,Statistician in office,Engineering,us dolars,163864,170005,DE,EN,PT,Remote,UK,S +2022,Data Engineer in office,Data Science,INR,30420,170978,US,EN,PT,In-person,UK,M +2021,Machine Learning Engineer ,Engineering,JPY,49198,140540,MX,EX,CT,In-person,JP,M +2020,Statistician ,Engineering,GBP,196680,184886,MX,MI,PT,Hybrid,JP,S +2020,Data Scientist in office,ML/AI,GBP,112951,131101,IN,MI,PT,Hybrid,DE,S +2021,Data Engineer ,Analysis,INR,47875,30818,DE,SE,FT,Hybrid,DE,S +2022,Data Analyst in office,Engineering,JPY,100511,38434,DE,EX,PT,Hybrid,UK,S +2021,Data Analyst (Remote),Analysis,GBP,121997,151494,CN,SE,FL,Remote,CN,S +2022,Data Scientist in office,Data Science,INR,51331,60571,JP,SE,CT,In-person,IN,M +2020,Statistician (Remote),ML/AI,INR,46893,70694,UK,MI,PT,Hybrid,CN,M +2022,Data Engineer (Remote),Analysis,us dolars,48243,124426,JP,EX,CT,Remote,MX,S +2021,Data Scientist (Remote),ML/AI,GBP,45535,148792,JP,SE,PT,Hybrid,UK,S +2020,Statistician ,Engineering,JPY,97394,75485,MX,MI,CT,In-person,CN,L +2021,Data Engineer ,Data Science,GBP,186561,173141,IN,MI,FL,Hybrid,UK,M +2021,Data Analyst in office,ML/AI,GBP,109214,87198,CN,EN,PT,In-person,DE,M +2022,Data Engineer (Remote),Engineering,GBP,150295,128316,UK,EX,PT,In-person,IN,S +2021,Machine Learning Engineer in office,Analysis,INR,130369,199734,MX,EX,FL,Remote,IN,M +2022,Data Engineer (Remote),Data Science,EUR,142695,118970,MX,EN,PT,Hybrid,MX,M +2020,Machine Learning Engineer (Remote),Data Science,EUR,43346,102928,JP,SE,CT,Hybrid,DE,M +2022,Data Engineer in office,,,167845,177174,JP,,FL,In-person,US, +2020,Machine Learning Engineer in office,Analysis,GBP,152580,194529,DE,MI,FT,Hybrid,DE,M +2022,Data Analyst in office,Data Science,EUR,105324,117798,IN,MI,CT,In-person,JP,S +2021,Statistician in office,ML/AI,us dolars,193415,82290,JP,EN,PT,Remote,CN,M +2022,Machine Learning Engineer ,Data Science,INR,132746,152664,UK,MI,CT,Hybrid,IN,M +2022,Machine Learning Engineer (Remote),Analysis,GBP,104783,173004,US,SE,FL,In-person,MX,L +2020,Data Analyst (Remote),ML/AI,JPY,197044,41766,MX,SE,PT,Hybrid,DE,M +2021,Machine Learning Engineer ,Engineering,INR,46959,118247,US,EN,PT,Hybrid,UK,L +2022,Data Scientist (Remote),Data Science,us dolars,119343,43292,IN,SE,FL,Remote,UK,L +2021,Data Analyst ,,,195205,102944,US,,FT,In-person,CN, +2022,Data Scientist (Remote),Engineering,JPY,81150,136446,DE,EX,PT,Remote,UK,M +2022,Data Analyst ,Data Science,INR,51734,64533,DE,MI,PT,Remote,MX,S +2021,Machine Learning Engineer ,,,-47400,110773,UK,,PT,Remote,DE, +2022,Data Scientist (Remote),ML/AI,JPY,181074,154433,CN,EX,FT,In-person,US,M +2021,Machine Learning Engineer (Remote),Analysis,JPY,128329,166850,IN,SE,CT,In-person,MX,L +2022,Data Analyst (Remote),Engineering,INR,154438,65059,IN,EN,FT,Hybrid,JP,S +2020,Machine Learning Engineer in office,Data Science,JPY,197564,152418,MX,MI,CT,In-person,UK,M +2021,Data Scientist (Remote),ML/AI,INR,127753,165938,US,MI,PT,Remote,DE,S +2022,Data Scientist (Remote),Engineering,GBP,138863,103965,JP,EX,CT,In-person,US,M +2022,Machine Learning Engineer (Remote),Engineering,JPY,191947,90661,JP,EX,CT,Hybrid,IN,L +2020,Data Engineer in office,Data Science,INR,186118,73352,CN,EN,CT,Remote,MX,S +2021,Data Analyst (Remote),Engineering,GBP,184736,140051,MX,MI,CT,Hybrid,MX,M +2022,Data Analyst ,Data Science,JPY,185525,118373,JP,SE,PT,In-person,MX,M +2020,Machine Learning Engineer ,ML/AI,GBP,34746,64075,CN,SE,FL,Hybrid,MX,S +2022,Data Engineer in office,ML/AI,JPY,153765,121931,MX,EX,FT,Hybrid,IN,M +2021,Data Scientist in office,Engineering,us dolars,174289,54104,UK,EN,CT,In-person,CN,S +2022,Statistician in office,Data Science,us dolars,93184,95827,IN,EX,PT,Hybrid,JP,M +2022,Statistician in office,Analysis,INR,118898,99222,US,EN,PT,In-person,DE,S +2022,Machine Learning Engineer in office,ML/AI,EUR,71835,162714,UK,SE,PT,Remote,DE,L +2022,Data Engineer (Remote),Data Science,us dolars,39133,127013,DE,EN,PT,Hybrid,UK,S +2020,Data Engineer ,Data Science,EUR,131345,92845,DE,SE,CT,Remote,US,M +2020,Data Analyst ,Data Science,GBP,70533,38769,DE,EN,FT,In-person,JP,L +2021,Data Scientist (Remote),Engineering,GBP,166476,125369,CN,EX,PT,In-person,US,L +2020,Data Engineer in office,Analysis,EUR,194411,80375,CN,SE,FT,Hybrid,MX,S +2020,Statistician (Remote),Engineering,INR,58725,193150,MX,MI,FT,Hybrid,MX,S +2021,Data Scientist in office,ML/AI,JPY,157240,42268,IN,MI,FT,In-person,MX,S +2020,Data Scientist ,Engineering,EUR,31236,171916,DE,SE,FL,In-person,JP,L +2020,Machine Learning Engineer ,,,97916,104174,CN,,PT,Remote,DE, +2021,Data Engineer in office,Engineering,EUR,135481,132677,MX,SE,PT,Remote,DE,S +2021,Machine Learning Engineer (Remote),Data Science,EUR,158357,172305,CN,EX,PT,Hybrid,JP,M +2021,Data Engineer in office,Analysis,EUR,44538,60496,JP,EX,FT,Hybrid,US,L +2022,Data Analyst in office,Engineering,INR,173043,178878,CN,EN,PT,Hybrid,CN,S +2022,Machine Learning Engineer ,Engineering,us dolars,129821,108807,DE,MI,PT,Hybrid,IN,M +2021,Machine Learning Engineer in office,Engineering,JPY,68655,49465,UK,MI,FT,Hybrid,IN,S +2021,Statistician (Remote),Data Science,us dolars,90784,169322,DE,MI,PT,Hybrid,MX,L +2021,Machine Learning Engineer in office,Data Science,EUR,152547,90503,MX,SE,CT,Hybrid,UK,L +2022,Data Engineer ,Engineering,us dolars,148177,51310,MX,EX,FL,Hybrid,UK,S +2022,Statistician (Remote),,,198482,160301,MX,,CT,Remote,CN, +2020,Machine Learning Engineer (Remote),,,120982,123518,JP,,CT,In-person,US, +2020,Machine Learning Engineer ,,,-182775,62206,DE,,CT,In-person,CN, +2021,Data Analyst ,ML/AI,JPY,74191,39764,US,EN,FT,Hybrid,DE,S +2022,Machine Learning Engineer in office,Analysis,INR,84112,173914,JP,MI,PT,In-person,US,M +2022,Data Scientist ,Analysis,GBP,41399,164048,IN,MI,CT,Hybrid,JP,M +2022,Statistician ,Analysis,INR,134365,168498,DE,EX,CT,Remote,MX,L +2021,Data Scientist ,Data Science,EUR,42685,183959,CN,EN,PT,Hybrid,IN,M +2020,Statistician ,Analysis,GBP,117777,56710,UK,MI,FT,Remote,UK,M +2021,Data Analyst (Remote),Analysis,JPY,34487,71387,DE,EN,CT,Remote,US,L +2020,Machine Learning Engineer (Remote),Engineering,GBP,42018,167558,UK,EN,PT,Remote,US,S +2020,Machine Learning Engineer (Remote),Data Science,JPY,191897,142418,MX,EX,PT,Hybrid,JP,L +2021,Machine Learning Engineer ,,,-168822,52623,MX,,FL,Remote,MX, +2020,Statistician in office,ML/AI,JPY,113220,53806,US,EN,CT,Hybrid,MX,M +2020,Machine Learning Engineer in office,Analysis,INR,73118,167045,IN,EX,CT,Remote,DE,M +2022,Data Scientist in office,ML/AI,us dolars,89615,144162,CN,MI,FL,Remote,MX,S +2020,Machine Learning Engineer in office,ML/AI,INR,109946,190229,JP,MI,PT,In-person,DE,M +2021,Data Analyst (Remote),ML/AI,INR,151869,35521,JP,EX,PT,Hybrid,MX,S +2021,Data Scientist in office,Analysis,GBP,45105,42891,IN,EN,CT,In-person,MX,S +2020,Machine Learning Engineer (Remote),ML/AI,EUR,179985,112331,US,MI,CT,Remote,IN,S +2022,Machine Learning Engineer in office,Analysis,us dolars,131564,52474,US,SE,FL,In-person,CN,L +2022,Data Engineer in office,Engineering,JPY,77342,187579,MX,EN,CT,Remote,CN,M +2020,Statistician (Remote),Engineering,GBP,142016,40687,DE,EN,CT,In-person,UK,M +2020,Data Scientist (Remote),ML/AI,EUR,90506,128550,US,SE,FT,In-person,DE,S +2021,Data Engineer in office,,,54967,172081,DE,,FL,Hybrid,DE, +2020,Data Analyst ,Analysis,INR,66023,118762,UK,EN,PT,Hybrid,DE,S +2022,Statistician in office,Engineering,EUR,84288,118484,IN,SE,CT,In-person,CN,M +2020,Data Scientist in office,,,-154939,130475,UK,,PT,In-person,US, +2021,Machine Learning Engineer in office,Analysis,EUR,131541,74291,UK,EX,CT,Hybrid,MX,M +2021,Data Scientist (Remote),,,56622,78296,UK,,FT,Remote,MX, +2021,Machine Learning Engineer in office,,,75201,70225,UK,,FL,Remote,DE, +2021,Statistician ,Engineering,GBP,46350,64828,JP,MI,FL,Remote,CN,M +2021,Machine Learning Engineer in office,,,-84820,197174,US,,PT,Remote,JP, +2020,Data Analyst ,Analysis,us dolars,78709,63712,IN,EX,FT,In-person,CN,S +2020,Machine Learning Engineer ,Data Science,GBP,118232,56823,IN,SE,PT,Remote,IN,S +2020,Data Analyst ,Data Science,us dolars,188542,166433,CN,EX,FT,In-person,DE,M +2020,Statistician in office,Data Science,INR,191961,121374,UK,EN,CT,In-person,UK,S +2021,Statistician (Remote),Analysis,JPY,171296,110174,IN,EX,CT,Remote,US,M +2022,Data Scientist (Remote),Engineering,EUR,166537,68052,MX,EX,FT,Remote,MX,S +2020,Data Analyst in office,Analysis,GBP,112418,53265,DE,EN,CT,Remote,JP,S +2022,Data Analyst in office,Engineering,EUR,127739,120287,IN,EN,FL,Hybrid,CN,S +2020,Data Engineer ,Analysis,us dolars,85214,72012,MX,SE,FT,In-person,IN,M +2020,Data Engineer in office,Analysis,EUR,164016,40916,UK,MI,FT,Remote,US,M +2022,Data Engineer (Remote),Analysis,EUR,54336,155462,IN,EX,PT,Hybrid,JP,M +2021,Machine Learning Engineer in office,,,68624,105045,US,,FT,In-person,US, +2020,Data Engineer in office,Analysis,INR,95206,119860,UK,SE,PT,In-person,IN,S +2020,Data Analyst in office,,,74764,175075,JP,,FT,In-person,IN, +2020,Machine Learning Engineer ,Analysis,us dolars,124325,72634,MX,EN,FL,Remote,DE,M +2022,Statistician in office,Data Science,INR,75420,125479,US,EN,FL,Remote,UK,S +2021,Data Scientist in office,ML/AI,INR,134381,104992,IN,SE,FL,In-person,DE,S +2022,Data Engineer in office,ML/AI,JPY,95671,41369,JP,EX,PT,In-person,CN,M +2022,Statistician (Remote),Engineering,GBP,176845,49329,CN,SE,PT,Hybrid,MX,M +2021,Data Analyst ,Engineering,JPY,137596,116700,US,EN,CT,Hybrid,US,S +2022,Data Scientist ,ML/AI,EUR,56447,132960,CN,EX,PT,In-person,DE,M +2021,Statistician (Remote),Analysis,EUR,165105,42410,DE,EN,PT,Hybrid,IN,M +2020,Data Scientist ,Analysis,INR,50497,190802,US,EN,FL,In-person,IN,L +2021,Data Engineer (Remote),Analysis,INR,109714,163737,JP,SE,FT,Hybrid,IN,L +2020,Data Analyst ,ML/AI,JPY,156892,198775,CN,SE,PT,In-person,DE,M +2022,Data Scientist ,Data Science,JPY,182050,185244,DE,MI,CT,Remote,MX,L +2022,Statistician ,,,-173954,32684,CN,,FT,In-person,CN, +2020,Data Engineer in office,Data Science,EUR,178017,180822,IN,EX,PT,Remote,CN,M +2022,Data Engineer ,ML/AI,JPY,89870,49887,UK,EN,FT,In-person,JP,S +2021,Statistician in office,,,179667,181898,CN,,FT,Remote,DE, +2020,Statistician in office,Analysis,us dolars,127847,167252,IN,MI,FT,Hybrid,DE,S +2022,Data Scientist in office,,,126134,76779,UK,,FT,Remote,DE, +2020,Machine Learning Engineer (Remote),Data Science,INR,196521,98095,UK,EX,FT,Hybrid,DE,L +2021,Data Engineer ,,,131110,157510,JP,,PT,In-person,IN, +2021,Data Scientist ,Data Science,INR,179711,131261,MX,MI,FT,Hybrid,MX,M +2022,Statistician ,Analysis,INR,101918,86068,DE,SE,FT,Hybrid,UK,M +2021,Data Scientist in office,Analysis,EUR,33159,48113,MX,MI,CT,Hybrid,DE,S +2020,Statistician ,ML/AI,EUR,101192,72861,DE,EX,CT,In-person,DE,S +2021,Data Analyst in office,Data Science,JPY,96988,108487,US,MI,FT,Remote,UK,M +2020,Statistician in office,Analysis,JPY,137739,55617,IN,SE,PT,Hybrid,DE,M +2020,Statistician in office,Analysis,GBP,48706,128330,JP,EN,CT,In-person,MX,S +2021,Statistician in office,Data Science,us dolars,170934,163655,CN,MI,CT,Hybrid,UK,L +2022,Machine Learning Engineer ,Data Science,us dolars,40219,56250,IN,MI,FT,Remote,IN,L +2021,Statistician in office,Engineering,JPY,119017,33055,CN,EN,PT,Hybrid,JP,L +2020,Data Engineer (Remote),ML/AI,EUR,64536,102337,MX,MI,FL,Hybrid,DE,L +2020,Data Engineer (Remote),ML/AI,GBP,101632,195498,CN,SE,PT,Hybrid,JP,L +2021,Data Scientist (Remote),Data Science,us dolars,138798,157615,MX,EX,CT,Remote,DE,M +2022,Machine Learning Engineer in office,ML/AI,JPY,63937,132255,MX,MI,CT,Remote,US,M +2022,Data Scientist ,,,-51094,90532,CN,,CT,In-person,MX, +2020,Data Engineer ,,,-155312,119376,US,,CT,Hybrid,CN, +2020,Data Engineer in office,Data Science,EUR,134894,39933,MX,MI,CT,Hybrid,US,M +2022,Data Analyst in office,Data Science,INR,147118,61979,US,EN,FT,Hybrid,IN,M +2021,Statistician in office,Engineering,EUR,188996,75047,JP,EX,FT,Hybrid,JP,M +2020,Data Engineer (Remote),ML/AI,JPY,113325,34137,US,EX,FT,Remote,JP,S +2020,Data Scientist in office,Engineering,GBP,161195,41423,JP,EN,CT,Remote,UK,M +2022,Data Scientist in office,Analysis,JPY,101445,119851,US,MI,FT,Hybrid,MX,M +2021,Statistician ,ML/AI,EUR,61854,64482,DE,MI,CT,Hybrid,UK,S +2022,Statistician ,Engineering,GBP,90796,82483,JP,EN,PT,Hybrid,DE,M +2021,Data Analyst (Remote),Data Science,us dolars,99432,64754,DE,EX,FL,Hybrid,UK,S +2021,Machine Learning Engineer (Remote),Engineering,us dolars,47111,197384,MX,EX,PT,In-person,UK,L +2021,Data Scientist (Remote),Data Science,JPY,102575,53363,DE,MI,FL,In-person,JP,L +2020,Statistician (Remote),Engineering,GBP,140380,47085,JP,EX,FT,Hybrid,US,M +2022,Data Scientist in office,Engineering,JPY,54099,86889,IN,SE,FL,Hybrid,JP,M +2022,Statistician in office,Engineering,GBP,138871,132090,MX,EX,PT,Hybrid,MX,M +2021,Data Engineer (Remote),Data Science,GBP,45029,109951,MX,MI,PT,In-person,UK,M +2020,Data Scientist (Remote),Engineering,JPY,192883,158227,UK,EX,FL,Remote,DE,L +2020,Data Engineer ,ML/AI,GBP,45793,159925,US,EX,PT,In-person,US,L +2022,Data Scientist ,ML/AI,EUR,78106,86414,CN,EN,FT,In-person,UK,M +2020,Machine Learning Engineer ,ML/AI,GBP,115662,147159,US,SE,PT,Hybrid,UK,S +2020,Data Analyst (Remote),Data Science,GBP,162044,116934,CN,EN,FL,Hybrid,CN,S +2021,Data Engineer ,Data Science,JPY,161432,62691,IN,EX,FT,Remote,DE,L +2020,Statistician (Remote),ML/AI,us dolars,163704,84697,UK,EX,FL,Hybrid,DE,S +2021,Machine Learning Engineer in office,ML/AI,INR,197030,164116,IN,EN,CT,Hybrid,UK,M +2022,Data Scientist (Remote),ML/AI,GBP,110882,33883,UK,SE,CT,Remote,UK,M +2020,Data Engineer in office,Analysis,INR,143858,61712,JP,MI,FT,Hybrid,JP,M +2022,Data Scientist in office,ML/AI,GBP,179080,143655,JP,EN,FT,Hybrid,IN,M +2022,Data Scientist (Remote),Engineering,JPY,107656,51545,CN,EX,PT,Hybrid,DE,M +2020,Data Scientist ,Analysis,JPY,191355,48204,DE,EX,FL,In-person,MX,S +2020,Data Analyst (Remote),Analysis,GBP,80908,53268,DE,MI,CT,Hybrid,DE,S +2022,Data Analyst ,Data Science,JPY,168890,114383,CN,EX,PT,In-person,MX,L +2020,Statistician in office,Engineering,JPY,60579,197211,JP,EX,CT,Hybrid,MX,L +2021,Data Engineer in office,Data Science,GBP,85178,149755,CN,MI,PT,Hybrid,CN,S +2021,Machine Learning Engineer in office,Data Science,us dolars,143204,126940,DE,EX,PT,In-person,JP,S +2020,Machine Learning Engineer in office,Engineering,GBP,125373,58436,CN,EX,CT,In-person,US,L +2022,Machine Learning Engineer (Remote),Data Science,us dolars,162047,165197,JP,SE,PT,Hybrid,CN,M +2020,Data Scientist in office,Engineering,JPY,46265,128524,IN,EN,CT,Remote,CN,L +2020,Data Analyst ,Engineering,us dolars,93518,116842,US,SE,FT,Hybrid,US,L +2022,Data Engineer ,Data Science,JPY,165390,72973,JP,SE,FL,In-person,US,S +2022,Data Scientist in office,ML/AI,us dolars,150611,106369,CN,EX,PT,Hybrid,DE,L +2021,Data Analyst (Remote),Data Science,us dolars,196153,117533,JP,EN,CT,Hybrid,IN,L +2022,Data Analyst in office,Analysis,GBP,145475,63521,JP,EN,CT,In-person,IN,S +2021,Data Engineer in office,Data Science,us dolars,134968,168560,DE,EX,FL,Remote,MX,M +2022,Data Engineer ,Engineering,JPY,141686,69974,CN,SE,FL,Remote,JP,M +2020,Data Engineer (Remote),Analysis,GBP,106377,153900,DE,SE,FL,In-person,MX,M +2021,Data Scientist (Remote),Engineering,us dolars,121671,72448,CN,SE,PT,In-person,US,S +2021,Statistician ,ML/AI,GBP,173499,37938,DE,EN,CT,Hybrid,US,L +2021,Data Engineer ,ML/AI,INR,132263,134262,DE,EX,PT,In-person,UK,M +2020,Statistician ,Analysis,GBP,186237,176842,IN,EN,PT,In-person,JP,L +2020,Data Scientist (Remote),ML/AI,INR,151359,79934,JP,SE,FT,Hybrid,CN,S +2020,Statistician ,ML/AI,INR,128844,95526,IN,EN,FL,Hybrid,CN,M +2020,Machine Learning Engineer ,Data Science,GBP,94927,127204,DE,EN,FT,Hybrid,JP,M +2020,Statistician ,Data Science,JPY,103170,51487,IN,EX,FT,Remote,DE,L +2021,Data Engineer in office,,,106150,42869,MX,,PT,Remote,DE, +2020,Data Scientist (Remote),ML/AI,JPY,54866,144576,MX,EN,PT,In-person,JP,S +2021,Data Engineer (Remote),Data Science,EUR,40282,112209,JP,MI,CT,Hybrid,IN,L +2020,Machine Learning Engineer in office,ML/AI,INR,181391,112299,JP,EX,FT,In-person,JP,L +2022,Data Engineer (Remote),ML/AI,GBP,197798,74933,DE,MI,FL,In-person,IN,M +2021,Data Engineer ,Engineering,JPY,45412,106579,JP,EX,FT,Remote,DE,M +2022,Data Engineer in office,ML/AI,JPY,154135,170642,IN,SE,CT,Remote,MX,M +2021,Data Analyst ,Analysis,GBP,150019,167958,UK,MI,FT,In-person,JP,M +2022,Machine Learning Engineer ,Engineering,INR,54583,120177,JP,SE,FT,Hybrid,IN,L +2020,Data Engineer ,Analysis,GBP,91922,97719,IN,SE,FT,Remote,UK,L +2020,Data Engineer ,ML/AI,EUR,36185,124606,MX,EN,CT,Remote,UK,M +2020,Data Engineer (Remote),Data Science,EUR,116348,164846,MX,SE,FT,Remote,JP,L +2021,Data Scientist in office,Engineering,GBP,121368,59018,IN,SE,PT,In-person,US,S +2022,Data Analyst in office,Data Science,INR,47423,115839,MX,SE,FT,Remote,JP,L +2020,Data Scientist ,Engineering,JPY,81268,175344,IN,SE,PT,Hybrid,DE,S +2022,Data Analyst in office,Data Science,EUR,142692,183658,JP,EN,FT,Remote,DE,S +2022,Data Engineer in office,,,197858,63545,UK,,PT,In-person,UK, +2020,Machine Learning Engineer ,Engineering,INR,125201,32566,DE,SE,FT,In-person,IN,M +2020,Statistician ,,,-113744,106489,DE,,FL,In-person,UK, +2022,Statistician (Remote),Data Science,EUR,148222,95355,JP,EX,PT,In-person,IN,S +2020,Data Engineer (Remote),Analysis,INR,118590,192768,JP,MI,FL,Hybrid,MX,M +2020,Data Scientist ,,,-191549,102940,MX,,PT,In-person,JP, +2020,Machine Learning Engineer (Remote),Data Science,JPY,152942,156731,US,EN,FT,Remote,US,L +2021,Data Analyst (Remote),Engineering,JPY,164643,128382,CN,SE,CT,Hybrid,DE,M +2022,Data Engineer in office,Analysis,EUR,49576,153865,UK,SE,FT,In-person,JP,L +2022,Machine Learning Engineer ,Data Science,JPY,149641,52129,IN,EN,CT,In-person,UK,M +2021,Machine Learning Engineer in office,Engineering,GBP,170752,60845,CN,MI,FL,Hybrid,CN,M +2022,Data Analyst in office,Analysis,EUR,186778,109449,IN,EX,CT,Remote,CN,M +2020,Machine Learning Engineer ,Analysis,JPY,145042,40739,CN,SE,CT,Hybrid,JP,L +2022,Data Scientist in office,Analysis,us dolars,163846,163745,DE,EN,CT,Remote,US,M +2020,Data Scientist (Remote),Engineering,us dolars,178044,61171,CN,EX,CT,Remote,IN,M +2021,Data Scientist (Remote),Analysis,us dolars,175120,119179,JP,EX,FL,In-person,MX,L +2020,Machine Learning Engineer (Remote),,,-128908,130022,UK,,CT,Hybrid,US, +2022,Data Scientist (Remote),,,138724,171696,DE,,FT,Hybrid,UK, +2022,Data Analyst (Remote),Analysis,EUR,110225,138906,MX,SE,PT,In-person,US,M +2022,Machine Learning Engineer in office,ML/AI,INR,112273,82930,CN,EN,PT,In-person,DE,S +2021,Statistician ,Data Science,INR,156170,195680,UK,SE,FT,Remote,CN,L +2021,Machine Learning Engineer in office,Analysis,EUR,128737,79649,JP,MI,FL,In-person,US,L +2022,Data Analyst in office,Data Science,EUR,126537,180761,MX,EX,FT,Hybrid,JP,L +2020,Statistician (Remote),Data Science,GBP,87602,93503,IN,SE,FT,In-person,IN,M +2021,Machine Learning Engineer (Remote),Data Science,INR,96403,146659,MX,MI,CT,In-person,DE,S +2022,Data Scientist in office,ML/AI,us dolars,57182,126875,US,EN,CT,In-person,DE,L +2022,Data Engineer in office,Engineering,EUR,109876,168659,UK,EX,FL,In-person,DE,S +2021,Data Engineer ,ML/AI,us dolars,77059,164599,IN,SE,FL,In-person,UK,L +2021,Data Scientist ,ML/AI,INR,169859,194139,UK,EX,PT,Remote,UK,M +2021,Data Engineer ,Data Science,JPY,30393,81538,UK,EX,FL,In-person,JP,L +2020,Data Engineer ,Analysis,JPY,91775,67455,UK,EX,FT,In-person,IN,S +2020,Data Scientist ,Engineering,EUR,173128,50243,JP,EN,PT,Hybrid,US,S +2022,Data Scientist (Remote),Data Science,GBP,189501,153793,DE,EX,PT,In-person,JP,S +2021,Machine Learning Engineer ,Engineering,us dolars,75909,193765,UK,SE,CT,Hybrid,UK,M +2020,Machine Learning Engineer in office,ML/AI,EUR,82906,141371,JP,EN,CT,Hybrid,JP,L +2021,Data Scientist (Remote),Engineering,GBP,127435,99231,US,MI,PT,Hybrid,IN,M +2022,Data Analyst in office,Engineering,us dolars,116290,104648,DE,SE,CT,Hybrid,JP,M +2020,Data Engineer (Remote),Analysis,INR,74389,62059,JP,EN,CT,Remote,MX,S +2020,Machine Learning Engineer (Remote),Data Science,JPY,50905,102778,MX,SE,CT,Remote,CN,S +2020,Data Engineer ,Engineering,GBP,87557,105477,US,SE,PT,Hybrid,CN,M +2022,Statistician in office,Engineering,us dolars,146814,85283,MX,MI,PT,Remote,DE,M +2021,Data Scientist ,ML/AI,EUR,114752,93853,DE,EN,PT,Remote,US,L +2020,Data Analyst in office,ML/AI,us dolars,34574,50001,JP,EX,FT,In-person,MX,S +2022,Statistician in office,,,-118291,32700,US,,PT,Remote,UK, +2021,Statistician ,Data Science,JPY,126777,179157,JP,SE,CT,Hybrid,MX,S +2022,Statistician ,Engineering,JPY,54737,147990,US,SE,PT,Hybrid,UK,L +2021,Data Scientist (Remote),Engineering,us dolars,53390,43339,UK,SE,FT,Hybrid,CN,L +2022,Machine Learning Engineer (Remote),Analysis,us dolars,121612,176906,UK,SE,CT,Hybrid,IN,S +2021,Data Scientist (Remote),Data Science,EUR,82330,156378,DE,EN,FL,In-person,IN,S +2020,Machine Learning Engineer in office,Analysis,EUR,101082,59543,US,SE,PT,Remote,IN,M +2021,Statistician ,Data Science,GBP,182352,65930,UK,SE,PT,Hybrid,UK,M +2022,Statistician (Remote),Data Science,GBP,51037,59044,DE,SE,FL,In-person,DE,L +2022,Data Analyst ,Data Science,GBP,146668,108673,IN,EX,CT,Hybrid,MX,S +2021,Machine Learning Engineer (Remote),Analysis,us dolars,149229,195977,UK,EX,PT,Remote,US,M +2020,Statistician (Remote),Analysis,GBP,189636,142997,UK,EN,FT,In-person,IN,M +2020,Data Engineer ,Analysis,us dolars,126342,113725,CN,SE,CT,Remote,UK,S +2021,Data Analyst (Remote),ML/AI,JPY,119928,56012,JP,SE,PT,In-person,DE,S +2021,Data Scientist ,Analysis,INR,58087,108513,IN,MI,CT,Hybrid,IN,M +2022,Data Analyst (Remote),ML/AI,JPY,139844,127585,US,EX,PT,Hybrid,MX,S +2020,Data Engineer ,ML/AI,us dolars,42803,51694,DE,MI,FL,Remote,IN,S +2021,Machine Learning Engineer (Remote),ML/AI,us dolars,96761,128760,IN,SE,PT,Remote,US,L +2020,Data Scientist (Remote),Engineering,INR,158574,62835,US,SE,CT,In-person,CN,M +2021,Data Scientist in office,Engineering,EUR,108579,148777,UK,MI,PT,Remote,US,M +2021,Machine Learning Engineer ,Engineering,EUR,177235,48186,MX,EN,PT,Remote,JP,L +2020,Data Analyst (Remote),,,66764,190617,CN,,CT,Hybrid,CN, +2021,Statistician in office,ML/AI,GBP,77055,74391,MX,MI,PT,Hybrid,CN,M +2021,Data Analyst ,Data Science,EUR,81599,135858,DE,SE,PT,Hybrid,MX,M +2022,Data Engineer (Remote),ML/AI,GBP,112787,134199,DE,MI,CT,Hybrid,CN,S +2021,Statistician (Remote),,,-69720,58401,IN,,FL,Hybrid,IN, +2021,Data Analyst (Remote),ML/AI,EUR,123120,127764,JP,EN,FT,Hybrid,JP,M +2021,Machine Learning Engineer ,ML/AI,EUR,157976,88611,US,MI,FT,Hybrid,MX,S +2022,Data Engineer in office,Data Science,INR,144067,42202,CN,EN,FT,In-person,UK,S +2020,Data Engineer (Remote),ML/AI,INR,199924,63135,CN,EX,FT,Hybrid,MX,S +2022,Data Engineer in office,Analysis,GBP,43219,118121,MX,SE,FT,Hybrid,US,L +2022,Statistician ,Data Science,INR,138508,143944,IN,SE,FT,Hybrid,CN,M +2020,Data Scientist ,ML/AI,GBP,120351,143765,JP,SE,CT,Hybrid,CN,M +2022,Statistician (Remote),ML/AI,us dolars,78865,93535,JP,EN,CT,Hybrid,DE,M +2020,Data Analyst (Remote),Data Science,GBP,84457,175969,JP,EX,CT,Remote,IN,S +2022,Data Scientist (Remote),ML/AI,GBP,120159,147328,DE,MI,PT,Remote,MX,S +2020,Data Analyst in office,Engineering,INR,197889,182363,US,SE,FL,Hybrid,IN,L +2021,Data Scientist in office,Analysis,us dolars,123391,165579,US,EN,FL,Hybrid,JP,L +2022,Statistician (Remote),Analysis,JPY,80400,145473,MX,SE,FT,Hybrid,US,M +2022,Data Engineer ,Engineering,JPY,66258,189926,IN,EX,FT,In-person,CN,L +2022,Machine Learning Engineer ,ML/AI,JPY,141466,143056,UK,MI,CT,Hybrid,CN,L +2022,Data Engineer (Remote),ML/AI,us dolars,179353,45475,IN,SE,FL,In-person,JP,S +2021,Statistician in office,Analysis,EUR,107264,109870,US,EX,PT,In-person,MX,M +2022,Data Scientist ,ML/AI,us dolars,199795,114366,MX,EN,PT,Hybrid,IN,M +2021,Data Engineer in office,Analysis,INR,171234,153836,DE,EX,CT,Remote,US,L +2021,Statistician (Remote),Analysis,GBP,138877,122814,IN,EN,FT,Hybrid,IN,S +2021,Data Analyst in office,Engineering,GBP,41338,114285,MX,SE,FL,Hybrid,US,L +2021,Machine Learning Engineer in office,Analysis,INR,41675,70185,UK,SE,PT,Remote,MX,L +2020,Data Engineer in office,ML/AI,INR,119606,94398,CN,EX,FT,Remote,IN,M +2020,Data Scientist ,,,-50080,126682,IN,,FL,Hybrid,DE, +2022,Data Analyst in office,Data Science,EUR,43936,106593,MX,EX,PT,Hybrid,CN,L +2020,Statistician in office,,,40019,187499,JP,,FT,In-person,MX, +2020,Machine Learning Engineer in office,Data Science,EUR,118304,137518,UK,SE,PT,Remote,MX,S +2022,Data Scientist (Remote),Analysis,INR,34486,85535,JP,SE,FT,In-person,JP,L +2022,Statistician in office,ML/AI,GBP,112021,139626,DE,SE,FT,In-person,US,M +2022,Statistician in office,Engineering,GBP,148411,144190,US,EX,FT,In-person,JP,L +2020,Data Engineer ,Engineering,GBP,180184,44060,IN,EX,FL,In-person,US,M +2020,Data Engineer (Remote),Engineering,us dolars,81697,174679,MX,MI,CT,Remote,MX,M +2022,Data Scientist in office,Analysis,us dolars,85998,93560,IN,MI,FT,Remote,US,M +2021,Statistician ,Analysis,JPY,139537,119610,JP,EX,FT,Remote,CN,M +2022,Data Engineer ,Data Science,us dolars,127816,62970,JP,MI,PT,Hybrid,US,M +2021,Machine Learning Engineer in office,Engineering,EUR,56576,189282,US,EX,PT,In-person,IN,M +2021,Machine Learning Engineer ,Data Science,EUR,138064,74088,MX,SE,FL,Hybrid,UK,L +2022,Statistician ,Data Science,EUR,111238,41683,IN,EN,CT,Remote,IN,S +2022,Data Engineer ,ML/AI,EUR,182392,164034,MX,SE,PT,Remote,UK,L +2022,Data Scientist ,ML/AI,JPY,155885,130631,US,EX,FL,Hybrid,CN,S +2020,Data Scientist in office,Engineering,EUR,95729,196624,JP,SE,FL,In-person,CN,L +2021,Data Scientist in office,Analysis,INR,120853,141789,CN,EX,FL,Remote,IN,S +2020,Machine Learning Engineer ,ML/AI,INR,151992,75321,MX,EX,FT,In-person,UK,L +2020,Data Engineer in office,Analysis,INR,59144,93565,JP,MI,CT,In-person,MX,M +2022,Data Engineer in office,Data Science,us dolars,155143,150454,UK,EX,CT,Remote,CN,S +2020,Machine Learning Engineer ,Data Science,GBP,107148,112095,JP,EN,CT,Hybrid,US,L +2022,Data Scientist ,Data Science,JPY,49307,143610,JP,MI,FT,In-person,US,M +2021,Data Scientist ,Data Science,INR,90598,33532,MX,EN,FT,Hybrid,UK,L +2022,Statistician in office,Engineering,INR,180695,144527,CN,EX,PT,In-person,UK,S +2020,Data Analyst in office,Data Science,EUR,181321,181805,US,SE,PT,In-person,JP,L +2020,Data Engineer (Remote),ML/AI,INR,121810,113463,UK,EX,PT,Remote,US,L +2022,Data Engineer (Remote),Data Science,EUR,132870,35456,UK,EX,FL,Hybrid,IN,M +2022,Data Engineer ,,,-102131,33413,IN,,CT,In-person,JP, +2020,Data Analyst (Remote),ML/AI,GBP,124138,37085,CN,SE,FT,Hybrid,MX,M +2021,Statistician in office,Analysis,us dolars,199449,189009,DE,EN,PT,In-person,UK,S +2021,Data Analyst (Remote),Analysis,EUR,133412,50563,IN,MI,FL,Hybrid,MX,M +2022,Data Scientist (Remote),Engineering,EUR,64551,67575,IN,MI,FT,Hybrid,CN,S +2021,Data Scientist ,Engineering,GBP,72926,37386,IN,MI,FL,Remote,IN,M +2020,Data Engineer in office,Analysis,EUR,120214,130244,UK,EN,FL,In-person,DE,M +2022,Machine Learning Engineer in office,Analysis,JPY,117750,89150,US,EN,FL,In-person,DE,M +2020,Data Engineer in office,Data Science,us dolars,68599,190644,MX,SE,CT,In-person,MX,M +2020,Machine Learning Engineer in office,,,139490,156053,JP,,FT,In-person,MX, +2021,Data Analyst (Remote),Data Science,INR,123330,196343,UK,EX,FT,Remote,CN,S +2022,Data Scientist ,Engineering,us dolars,52593,106566,JP,EN,FL,Remote,DE,S +2022,Machine Learning Engineer (Remote),,,139865,174210,JP,,CT,In-person,CN, +2021,Data Analyst in office,Data Science,EUR,162192,159549,DE,MI,FL,Hybrid,IN,M +2020,Data Scientist ,,,177563,176718,MX,,PT,Remote,CN, +2020,Machine Learning Engineer ,Analysis,JPY,73638,58812,IN,EN,FT,Hybrid,MX,S +2020,Data Engineer in office,Data Science,INR,35193,118958,DE,EN,FT,Hybrid,UK,L +2020,Data Engineer in office,Engineering,EUR,45213,106181,IN,SE,CT,Hybrid,IN,L +2022,Data Engineer ,ML/AI,JPY,109766,44628,UK,EX,FT,In-person,JP,L +2022,Data Analyst in office,Engineering,JPY,178259,54486,JP,SE,FT,Remote,JP,S +2021,Data Engineer in office,ML/AI,INR,171112,153934,DE,SE,FT,In-person,DE,L +2021,Statistician in office,ML/AI,EUR,59949,69266,CN,EX,CT,Hybrid,MX,S +2022,Data Scientist in office,ML/AI,GBP,164599,118268,UK,MI,FL,In-person,UK,S +2022,Data Analyst ,Data Science,INR,132433,76557,UK,EX,FT,Hybrid,MX,M +2020,Data Engineer ,Data Science,JPY,179829,46494,CN,MI,FL,In-person,JP,M +2020,Data Scientist (Remote),Data Science,JPY,55412,182643,IN,SE,CT,In-person,US,S +2021,Machine Learning Engineer (Remote),,,-175384,64486,JP,,FL,Remote,MX, +2022,Data Engineer ,ML/AI,EUR,183191,91635,IN,MI,PT,Remote,US,S +2021,Data Scientist (Remote),Engineering,us dolars,172876,161197,IN,MI,FT,Hybrid,DE,S +2022,Statistician in office,Analysis,GBP,76545,78814,UK,EX,CT,Hybrid,MX,L +2020,Machine Learning Engineer in office,Data Science,INR,106519,153141,IN,MI,CT,Hybrid,DE,M +2021,Statistician ,ML/AI,JPY,191071,180390,US,EX,FL,In-person,DE,S +2021,Data Scientist (Remote),Engineering,EUR,126093,92363,CN,EN,FT,Hybrid,JP,M +2022,Statistician in office,Engineering,JPY,124324,73162,MX,EN,CT,Remote,UK,M +2020,Data Scientist (Remote),Engineering,us dolars,33768,157083,CN,SE,PT,Hybrid,CN,M +2021,Data Scientist ,Data Science,us dolars,31504,37590,JP,SE,FL,Hybrid,CN,S +2020,Statistician ,Data Science,INR,97986,64850,CN,EX,PT,In-person,DE,L +2021,Data Scientist (Remote),Analysis,EUR,146721,173206,IN,MI,PT,Remote,IN,L +2020,Data Engineer ,Engineering,EUR,38002,160091,IN,MI,FL,Hybrid,DE,M +2022,Data Scientist in office,Data Science,INR,105427,55230,DE,EN,PT,Remote,MX,M +2021,Data Analyst in office,Engineering,us dolars,68787,45058,JP,EX,FL,Hybrid,CN,L +2021,Data Scientist (Remote),ML/AI,us dolars,43898,109837,JP,MI,FL,Remote,CN,M +2020,Data Analyst (Remote),Engineering,us dolars,171544,133397,CN,MI,CT,Hybrid,CN,L +2020,Data Scientist ,Analysis,JPY,110800,57039,IN,EX,CT,Hybrid,JP,L +2021,Data Scientist ,Data Science,GBP,139023,68334,US,SE,PT,In-person,UK,S +2022,Statistician (Remote),ML/AI,us dolars,193704,73525,DE,EX,PT,In-person,DE,M +2020,Data Engineer ,Data Science,GBP,156718,156681,US,EX,PT,Remote,US,M +2020,Data Engineer (Remote),,,-63743,114194,IN,,PT,Remote,DE, +2020,Machine Learning Engineer (Remote),Engineering,EUR,160864,189515,JP,EN,PT,Remote,DE,L +2021,Statistician in office,Engineering,INR,182395,33972,JP,MI,CT,Remote,UK,M +2021,Statistician ,Analysis,JPY,46868,94936,MX,MI,PT,In-person,IN,S +2021,Data Engineer (Remote),Analysis,GBP,32080,121703,US,MI,PT,Remote,DE,L +2021,Statistician in office,ML/AI,JPY,174848,139877,MX,EX,FT,Hybrid,DE,S +2022,Data Engineer (Remote),Analysis,EUR,93271,59519,MX,EX,FL,Hybrid,CN,S +2022,Statistician ,Analysis,us dolars,107585,132417,UK,MI,FL,Hybrid,JP,S +2021,Data Scientist in office,Analysis,GBP,154147,105864,IN,MI,CT,In-person,UK,S +2022,Data Engineer ,Analysis,INR,45628,85881,JP,EN,FL,Remote,JP,L +2020,Data Engineer in office,Engineering,EUR,155850,54732,CN,SE,PT,Hybrid,CN,S +2020,Data Analyst ,Analysis,JPY,169337,178745,UK,MI,FL,Hybrid,DE,L +2020,Statistician (Remote),Engineering,us dolars,185743,105909,JP,EX,CT,In-person,DE,S +2021,Statistician (Remote),Engineering,JPY,158872,35720,CN,SE,FL,In-person,US,S +2020,Data Engineer (Remote),Data Science,INR,42460,89115,JP,SE,FL,In-person,JP,M +2022,Data Scientist ,Engineering,GBP,33477,145843,UK,EN,FT,Hybrid,CN,M +2021,Data Scientist in office,Engineering,INR,32202,81940,US,SE,FT,In-person,UK,M +2022,Data Scientist ,Analysis,JPY,143846,166225,IN,MI,PT,Hybrid,MX,M +2020,Statistician (Remote),Engineering,JPY,119410,101762,MX,MI,FL,Remote,MX,S +2020,Data Analyst ,ML/AI,INR,136753,199091,UK,EX,PT,Hybrid,MX,S +2020,Data Engineer in office,Analysis,INR,41850,114833,UK,MI,FL,Remote,DE,L +2021,Machine Learning Engineer (Remote),Analysis,INR,181881,177659,MX,MI,PT,Hybrid,US,S +2022,Data Analyst ,Analysis,us dolars,163878,48206,JP,EN,PT,Remote,US,L +2021,Machine Learning Engineer (Remote),Data Science,JPY,168235,121471,CN,SE,FL,Hybrid,MX,S +2021,Data Analyst ,Analysis,EUR,124368,125169,MX,EN,FT,Hybrid,IN,S +2020,Data Scientist ,Engineering,us dolars,30185,40736,UK,SE,CT,Hybrid,UK,L +2021,Statistician (Remote),ML/AI,us dolars,54718,136937,IN,EN,PT,Hybrid,MX,M +2021,Machine Learning Engineer in office,,,186287,168043,MX,,CT,In-person,US, +2020,Data Analyst (Remote),Analysis,EUR,189397,86577,MX,EN,FL,Hybrid,UK,M +2021,Statistician in office,ML/AI,INR,48458,186796,US,EN,PT,Hybrid,MX,L +2020,Machine Learning Engineer (Remote),Analysis,JPY,160293,161003,CN,EX,FL,In-person,DE,S +2020,Data Engineer (Remote),Data Science,GBP,152342,117702,US,MI,PT,In-person,MX,L +2020,Data Analyst (Remote),Engineering,GBP,177078,108694,US,MI,FT,In-person,IN,S +2020,Data Engineer ,ML/AI,JPY,194041,121310,IN,EX,PT,In-person,CN,L +2021,Data Scientist ,,,-106820,85155,JP,,PT,In-person,UK, +2020,Data Engineer in office,Data Science,GBP,134014,158491,CN,EN,PT,In-person,CN,M +2020,Data Engineer (Remote),Engineering,us dolars,188727,172180,CN,EX,FL,In-person,IN,M +2021,Data Analyst ,Data Science,GBP,111234,107613,MX,EX,FT,In-person,CN,M +2021,Data Scientist ,Engineering,JPY,159282,86938,IN,SE,FL,In-person,UK,S +2022,Data Engineer (Remote),Data Science,us dolars,39102,131163,CN,SE,CT,In-person,CN,L +2021,Statistician (Remote),Analysis,GBP,97107,98498,UK,MI,FT,In-person,UK,M +2021,Machine Learning Engineer (Remote),Data Science,JPY,156328,47751,DE,EX,PT,Remote,JP,S +2022,Data Engineer in office,ML/AI,EUR,182625,141161,MX,EN,PT,Hybrid,IN,M +2021,Data Scientist (Remote),ML/AI,JPY,114079,62390,DE,MI,PT,Hybrid,UK,S +2021,Data Engineer ,ML/AI,EUR,159169,131213,DE,MI,CT,In-person,JP,L +2021,Machine Learning Engineer ,Data Science,us dolars,124437,138712,US,MI,CT,In-person,JP,L +2021,Data Scientist (Remote),ML/AI,JPY,109570,177065,CN,EX,PT,Remote,IN,L +2022,Data Analyst in office,ML/AI,INR,122656,90403,MX,EX,PT,In-person,DE,S +2021,Data Scientist in office,Analysis,INR,148301,56859,IN,EN,CT,Remote,IN,L +2021,Data Analyst ,Analysis,INR,186454,181950,CN,EN,FL,Hybrid,UK,S +2022,Data Scientist in office,Engineering,INR,68795,129124,IN,MI,FT,Hybrid,DE,S +2020,Machine Learning Engineer (Remote),Engineering,INR,81425,155940,CN,EX,FT,In-person,IN,S +2022,Machine Learning Engineer in office,Engineering,EUR,87402,57100,MX,EN,CT,Remote,IN,L +2020,Data Scientist in office,Data Science,JPY,133127,147350,MX,SE,CT,Remote,IN,L +2022,Data Engineer ,,,184531,151792,US,,FL,Hybrid,IN, +2022,Machine Learning Engineer ,,,-79649,84524,MX,,PT,Hybrid,DE, +2021,Data Analyst ,Data Science,INR,125117,132757,UK,SE,CT,Remote,UK,L +2020,Data Analyst in office,Engineering,us dolars,108156,115049,DE,MI,FL,Remote,JP,S +2021,Statistician ,Engineering,us dolars,197816,74974,DE,EX,CT,Hybrid,IN,L +2020,Data Analyst ,Data Science,INR,118340,83768,CN,MI,PT,Remote,JP,S +2022,Statistician in office,Analysis,EUR,60568,78544,US,MI,CT,Hybrid,JP,M +2022,Data Scientist in office,ML/AI,us dolars,179063,179122,DE,EX,PT,Remote,JP,L +2020,Data Scientist in office,ML/AI,JPY,38912,180856,CN,EN,FL,In-person,IN,L +2021,Data Scientist (Remote),ML/AI,JPY,193599,41774,MX,EN,FT,Hybrid,IN,S +2021,Data Engineer (Remote),Analysis,EUR,80426,196040,JP,EN,FL,Remote,CN,S +2021,Data Engineer in office,Data Science,GBP,140363,107678,CN,EN,FT,Hybrid,IN,S +2021,Statistician ,,,-181479,80135,IN,,FL,Remote,MX, +2022,Data Analyst in office,Data Science,INR,173416,184079,DE,EN,FT,In-person,IN,L +2022,Data Analyst (Remote),Data Science,GBP,32355,55158,DE,SE,FL,In-person,US,S +2022,Data Scientist ,Engineering,INR,126429,101587,JP,SE,PT,In-person,UK,M +2022,Machine Learning Engineer (Remote),Analysis,JPY,141151,165187,MX,EN,FT,Hybrid,US,M +2022,Data Engineer (Remote),ML/AI,us dolars,68526,89317,UK,SE,FT,In-person,CN,S +2021,Data Engineer (Remote),ML/AI,INR,48088,36371,CN,SE,PT,Hybrid,MX,L +2021,Data Scientist (Remote),Data Science,JPY,95377,124226,UK,EX,PT,In-person,DE,S +2021,Data Engineer ,Analysis,EUR,199914,69355,CN,EX,FT,Hybrid,MX,S +2021,Data Scientist in office,ML/AI,INR,91788,127956,JP,EN,FT,In-person,US,S +2022,Statistician ,Analysis,JPY,81529,143538,UK,MI,FT,Remote,US,M +2022,Data Analyst in office,Engineering,us dolars,142833,132126,US,MI,CT,Remote,US,M +2022,Machine Learning Engineer in office,Data Science,INR,133578,38338,JP,EX,FL,Hybrid,UK,L +2020,Data Analyst ,Data Science,JPY,69177,183079,MX,EX,PT,In-person,JP,M +2021,Data Analyst in office,Analysis,INR,146903,32477,CN,MI,PT,In-person,DE,S +2021,Statistician ,ML/AI,us dolars,69056,72423,IN,EN,FL,Remote,DE,M +2022,Data Engineer ,Analysis,INR,96421,105973,MX,MI,PT,In-person,MX,L +2021,Machine Learning Engineer in office,Engineering,INR,194704,59236,MX,MI,PT,In-person,UK,S +2021,Data Engineer in office,ML/AI,JPY,69685,161440,IN,SE,FT,Hybrid,CN,S +2022,Data Analyst (Remote),ML/AI,GBP,98590,55839,IN,MI,PT,Remote,MX,M +2020,Data Scientist in office,Analysis,INR,38977,147537,CN,EX,CT,In-person,US,M +2020,Data Analyst in office,Engineering,GBP,120568,141902,MX,EN,CT,In-person,JP,L +2020,Data Engineer in office,ML/AI,EUR,78967,131051,DE,MI,FT,Hybrid,MX,S +2022,Data Analyst ,Data Science,INR,104072,37139,JP,SE,FT,Hybrid,MX,L +2021,Data Scientist (Remote),Engineering,GBP,176142,188213,JP,EX,PT,Hybrid,IN,M +2022,Statistician (Remote),ML/AI,EUR,51500,138314,UK,EX,FT,Hybrid,MX,S +2022,Data Engineer ,Analysis,JPY,145475,94262,JP,SE,FT,In-person,UK,M +2021,Data Analyst in office,ML/AI,INR,40011,167776,MX,EX,FL,In-person,CN,S +2020,Data Engineer in office,Data Science,JPY,169968,162959,JP,SE,FT,In-person,JP,L +2020,Statistician ,Engineering,EUR,125335,41975,MX,EX,CT,Hybrid,CN,S +2022,Data Analyst (Remote),ML/AI,JPY,30814,161616,UK,EX,PT,In-person,UK,M +2020,Data Analyst ,Data Science,JPY,185791,114984,JP,EX,FT,Remote,UK,S +2022,Data Engineer ,ML/AI,us dolars,50150,118366,JP,EX,FL,Remote,IN,L +2022,Data Engineer in office,ML/AI,EUR,33825,150491,US,SE,PT,In-person,CN,M +2021,Data Scientist ,Engineering,JPY,80368,80382,CN,MI,PT,Hybrid,JP,L +2021,Statistician ,Analysis,GBP,175872,53926,UK,EX,PT,Remote,CN,S +2021,Data Scientist ,Analysis,EUR,105535,126538,US,SE,FL,In-person,MX,S +2022,Data Analyst in office,Data Science,us dolars,116390,143117,DE,SE,CT,Remote,CN,S +2021,Data Engineer in office,Data Science,INR,135076,43333,UK,SE,FL,Remote,US,S +2020,Data Analyst (Remote),Data Science,JPY,87899,46942,MX,MI,FL,Remote,CN,M +2020,Data Analyst (Remote),Engineering,GBP,52601,183519,CN,EN,PT,Remote,JP,S +2022,Machine Learning Engineer (Remote),Analysis,us dolars,171749,104397,JP,SE,FL,In-person,MX,M +2022,Machine Learning Engineer in office,Data Science,EUR,190624,185905,MX,SE,PT,Remote,JP,M +2021,Data Analyst (Remote),,,153355,51530,JP,,FT,In-person,US, +2022,Data Engineer ,ML/AI,us dolars,121450,77060,US,MI,FT,Remote,IN,S +2022,Data Analyst (Remote),,,-194364,111292,US,,FL,Remote,JP, +2020,Machine Learning Engineer ,Data Science,GBP,158424,71104,DE,MI,CT,Remote,CN,L +2020,Data Engineer (Remote),ML/AI,INR,155451,32634,DE,SE,PT,In-person,CN,S +2021,Data Analyst in office,ML/AI,INR,96097,37288,CN,EN,FL,Remote,US,S +2022,Statistician ,ML/AI,INR,177256,64253,JP,SE,FL,Remote,UK,S +2022,Statistician ,Engineering,EUR,96741,156628,MX,EX,CT,Hybrid,UK,M +2020,Data Analyst in office,Data Science,us dolars,91377,57005,IN,EN,PT,Remote,MX,L +2022,Data Engineer ,Data Science,EUR,173111,79824,MX,EN,FL,Hybrid,US,S +2020,Data Analyst (Remote),ML/AI,us dolars,75161,107702,DE,MI,CT,In-person,UK,L +2021,Data Analyst in office,Engineering,GBP,196078,47798,JP,MI,PT,Remote,JP,M +2020,Machine Learning Engineer ,ML/AI,GBP,178616,190373,MX,EX,FT,Remote,US,L +2022,Statistician in office,,,-42987,85267,MX,,CT,Hybrid,CN, +2021,Machine Learning Engineer ,Data Science,EUR,35239,164966,DE,EX,FL,Hybrid,MX,L +2020,Machine Learning Engineer ,,,74785,33846,MX,,FT,Remote,MX, +2020,Data Analyst in office,Data Science,JPY,53358,93571,MX,EN,PT,In-person,JP,L +2021,Machine Learning Engineer ,Engineering,INR,144759,44481,UK,EN,CT,Hybrid,DE,M +2021,Statistician (Remote),Analysis,INR,189500,154908,US,EX,FT,Remote,IN,S +2020,Machine Learning Engineer (Remote),Engineering,GBP,39096,72154,JP,MI,FT,Hybrid,CN,L +2022,Statistician ,Analysis,INR,77582,159447,MX,MI,FL,In-person,CN,M +2020,Machine Learning Engineer ,Data Science,JPY,185608,38048,DE,MI,FT,Hybrid,IN,M +2021,Statistician (Remote),Data Science,JPY,141595,57386,US,SE,FL,Remote,IN,S +2020,Machine Learning Engineer ,ML/AI,us dolars,131494,194408,MX,EN,PT,Hybrid,US,M +2021,Machine Learning Engineer ,Analysis,EUR,99484,134794,MX,EN,FL,In-person,DE,S +2021,Data Engineer in office,Engineering,INR,31287,184925,IN,SE,CT,Remote,IN,L +2022,Statistician in office,Data Science,JPY,53902,64713,DE,EN,FT,Remote,JP,M +2021,Statistician (Remote),Analysis,EUR,86188,177863,JP,EN,PT,Remote,CN,M +2021,Statistician (Remote),Engineering,EUR,142894,107481,UK,SE,FL,Remote,IN,M +2022,Data Scientist in office,Analysis,us dolars,182236,69899,US,EN,FL,In-person,DE,L +2021,Machine Learning Engineer in office,Engineering,EUR,111204,120217,US,MI,FL,Remote,JP,S +2022,Statistician (Remote),Engineering,EUR,162844,44975,UK,SE,PT,In-person,JP,S +2022,Data Scientist (Remote),Engineering,GBP,156800,103247,JP,EN,PT,In-person,US,M +2021,Data Engineer (Remote),Engineering,us dolars,193310,140295,CN,MI,CT,Hybrid,US,M +2021,Statistician in office,Analysis,us dolars,88293,149045,IN,EX,PT,Hybrid,UK,L +2020,Statistician in office,Analysis,INR,37213,42105,CN,EN,FL,Remote,DE,L +2022,Data Scientist ,ML/AI,EUR,44941,79645,MX,SE,PT,Remote,MX,S +2020,Machine Learning Engineer (Remote),,,125881,160291,UK,,FL,In-person,JP, +2021,Data Engineer ,Analysis,JPY,177036,60146,IN,EX,CT,Hybrid,DE,M +2020,Statistician (Remote),ML/AI,EUR,56855,164940,JP,EX,CT,Remote,IN,M +2022,Machine Learning Engineer in office,Analysis,JPY,151739,74294,DE,EN,FL,Remote,MX,M +2020,Data Engineer (Remote),Engineering,GBP,31046,105596,DE,EX,PT,In-person,CN,L +2022,Data Analyst (Remote),Data Science,EUR,44909,166505,CN,SE,PT,Hybrid,IN,L +2021,Data Analyst in office,Data Science,INR,184440,52612,JP,EX,FT,Remote,CN,S +2021,Data Engineer in office,ML/AI,INR,146853,178894,IN,EN,CT,Remote,UK,M +2022,Data Scientist (Remote),Analysis,EUR,124135,64120,CN,EX,CT,Remote,JP,L +2021,Data Engineer (Remote),Analysis,INR,101255,51294,UK,EN,FL,Remote,CN,M +2021,Data Engineer (Remote),ML/AI,EUR,176696,114300,CN,EX,FT,Remote,JP,S +2021,Data Scientist (Remote),Data Science,us dolars,136378,112119,JP,MI,PT,Remote,CN,M +2021,Data Scientist (Remote),Engineering,INR,40352,111096,MX,EN,FL,Hybrid,UK,L +2022,Machine Learning Engineer in office,Analysis,EUR,126421,165496,JP,SE,PT,In-person,IN,L +2020,Machine Learning Engineer (Remote),ML/AI,EUR,110539,70615,DE,SE,PT,In-person,JP,S +2020,Data Scientist in office,Engineering,INR,39223,56863,UK,EX,PT,In-person,MX,S +2021,Data Analyst ,ML/AI,us dolars,108254,59469,DE,MI,FT,Remote,CN,M +2020,Data Analyst ,ML/AI,INR,96851,133101,IN,EX,CT,In-person,DE,M +2020,Data Engineer (Remote),ML/AI,EUR,80044,184256,IN,EX,CT,Hybrid,JP,L +2021,Statistician ,Data Science,us dolars,120218,119446,US,MI,PT,Remote,CN,L +2021,Data Engineer in office,Data Science,JPY,115000,142613,JP,EN,FT,Hybrid,CN,L +2020,Data Engineer ,ML/AI,GBP,137240,147456,UK,SE,PT,Remote,IN,S +2022,Statistician ,Analysis,INR,192491,196247,UK,MI,PT,Remote,JP,S +2021,Data Scientist in office,Engineering,EUR,174839,93872,DE,EX,FL,In-person,JP,S +2022,Data Analyst (Remote),Analysis,us dolars,61028,62208,CN,EN,FT,Hybrid,US,M +2020,Data Engineer in office,Data Science,us dolars,77953,81998,CN,EX,FT,In-person,CN,S +2021,Statistician in office,Engineering,JPY,87965,86994,DE,EN,CT,Remote,JP,M +2022,Machine Learning Engineer (Remote),ML/AI,INR,99776,89895,MX,SE,CT,Hybrid,CN,M +2021,Data Engineer in office,Analysis,us dolars,61459,62894,CN,SE,PT,Hybrid,UK,M +2020,Data Analyst (Remote),Analysis,JPY,120932,51990,UK,EN,FL,Remote,UK,S +2022,Data Scientist in office,ML/AI,EUR,112331,103230,DE,SE,FL,In-person,DE,L +2020,Data Engineer ,Analysis,JPY,185761,66087,CN,EX,FL,Remote,JP,S +2020,Data Engineer (Remote),Data Science,INR,97982,38673,US,EN,PT,Hybrid,DE,S +2021,Statistician (Remote),ML/AI,JPY,164418,199271,JP,EX,CT,Hybrid,IN,S +2022,Machine Learning Engineer ,Analysis,us dolars,144773,62187,US,EN,FT,Hybrid,CN,M +2020,Machine Learning Engineer ,ML/AI,us dolars,70517,53553,CN,EX,PT,Remote,IN,L +2020,Data Scientist (Remote),Engineering,GBP,99678,73780,IN,SE,FL,Hybrid,US,S +2022,Data Analyst ,ML/AI,JPY,142491,134794,UK,MI,FL,Hybrid,US,S +2020,Data Scientist in office,Analysis,EUR,102623,112158,US,EX,PT,In-person,JP,M +2020,Data Engineer in office,Data Science,INR,127409,31420,US,EN,FL,In-person,JP,S +2022,Data Engineer in office,,,78575,74310,DE,,FT,Hybrid,DE, +2022,Machine Learning Engineer ,,,-138501,73953,DE,,PT,In-person,DE, +2022,Data Analyst ,Analysis,EUR,75039,34987,DE,EX,FT,Remote,JP,S +2022,Statistician ,Data Science,GBP,110260,62456,CN,EN,CT,In-person,MX,L +2021,Data Analyst (Remote),Data Science,us dolars,85871,148763,MX,EN,FL,In-person,JP,M +2022,Data Engineer in office,Engineering,INR,150773,199252,MX,EX,FL,In-person,US,L +2021,Statistician (Remote),,,-192423,115398,IN,,CT,In-person,US, +2021,Data Analyst (Remote),Analysis,EUR,90693,147183,US,SE,CT,Remote,US,M +2021,Data Analyst (Remote),Data Science,us dolars,61433,119782,JP,EX,CT,In-person,JP,M +2020,Statistician in office,Data Science,GBP,104797,152740,DE,SE,FL,Hybrid,DE,S +2021,Data Engineer in office,Engineering,INR,45804,59681,IN,MI,CT,In-person,UK,L +2021,Data Analyst in office,,,-75101,38323,CN,,PT,In-person,UK, +2020,Statistician ,Analysis,GBP,108363,97393,IN,EX,CT,Hybrid,DE,M +2020,Data Engineer in office,Data Science,EUR,137904,126123,DE,MI,PT,Remote,DE,M +2020,Statistician ,,,74700,121354,UK,,PT,Hybrid,MX, +2022,Statistician ,Engineering,JPY,144952,186319,US,EX,FT,Hybrid,DE,S +2020,Data Analyst ,Analysis,EUR,107576,128808,DE,SE,PT,Hybrid,US,S +2020,Data Engineer in office,Data Science,INR,49477,38484,JP,EX,PT,Hybrid,IN,S +2021,Data Analyst in office,Data Science,GBP,46127,191754,US,EX,CT,In-person,MX,L +2020,Data Scientist in office,Engineering,INR,56049,100459,IN,EN,FL,In-person,JP,L +2022,Data Scientist in office,Analysis,EUR,42473,157162,MX,EN,CT,In-person,US,L +2020,Data Engineer (Remote),ML/AI,EUR,91836,111456,JP,EN,FT,In-person,UK,M +2022,Statistician in office,Engineering,JPY,72464,183010,US,MI,FT,Remote,JP,L +2020,Data Analyst in office,Analysis,GBP,43714,84890,JP,SE,FL,In-person,DE,M +2020,Data Analyst in office,Data Science,EUR,90878,43319,IN,EX,PT,In-person,CN,L +2020,Data Engineer in office,ML/AI,INR,195280,137697,DE,EX,FT,Remote,MX,L +2020,Data Engineer in office,Analysis,JPY,127481,156193,MX,SE,FL,Hybrid,MX,M +2022,Data Scientist (Remote),ML/AI,INR,71514,89432,JP,EX,CT,In-person,UK,S +2022,Machine Learning Engineer (Remote),,,126988,167972,DE,,CT,In-person,DE, +2021,Data Engineer ,Analysis,JPY,35136,97696,MX,EX,CT,Hybrid,CN,M +2022,Machine Learning Engineer ,,,-128115,177308,IN,,PT,In-person,DE, +2020,Data Engineer in office,Analysis,JPY,61516,86485,MX,MI,PT,Hybrid,DE,S +2021,Statistician ,ML/AI,us dolars,106982,152359,IN,MI,FL,Hybrid,JP,S +2021,Statistician (Remote),Engineering,JPY,75099,167293,JP,SE,FT,Hybrid,UK,M +2021,Data Scientist in office,ML/AI,INR,120060,55294,JP,EX,CT,In-person,UK,L +2020,Data Scientist ,Analysis,INR,43188,171110,IN,EX,PT,Hybrid,DE,L +2022,Machine Learning Engineer ,ML/AI,GBP,141073,184432,JP,MI,PT,In-person,US,L +2020,Data Engineer (Remote),ML/AI,EUR,81188,38255,JP,EX,FT,Remote,IN,S +2021,Data Analyst in office,,,-154077,139429,JP,,CT,Hybrid,CN, +2020,Data Scientist ,Analysis,us dolars,35560,117464,CN,SE,CT,In-person,US,M +2020,Data Analyst (Remote),ML/AI,JPY,138763,161444,JP,SE,FT,Hybrid,JP,L +2022,Data Analyst in office,Data Science,us dolars,197469,142848,US,EX,FL,In-person,CN,L +2022,Data Engineer (Remote),Analysis,GBP,153651,179970,IN,EN,FL,In-person,IN,L +2021,Machine Learning Engineer in office,ML/AI,GBP,68082,53855,IN,EN,FT,Remote,US,L +2020,Data Engineer in office,Data Science,EUR,71430,64758,UK,MI,FT,Hybrid,CN,M +2020,Data Scientist in office,,,-70397,170679,DE,,FL,In-person,MX, +2022,Data Analyst (Remote),Engineering,JPY,159189,135094,UK,MI,FT,Remote,UK,S +2020,Data Engineer in office,ML/AI,INR,55247,104089,JP,SE,CT,In-person,US,L +2020,Data Engineer ,ML/AI,GBP,181015,35383,JP,MI,FL,In-person,DE,S +2020,Data Engineer in office,Engineering,us dolars,71986,90112,MX,MI,FL,Remote,JP,S +2022,Data Scientist in office,Analysis,JPY,74514,161787,US,MI,FL,Hybrid,US,S +2021,Machine Learning Engineer (Remote),Engineering,GBP,173703,170909,US,EX,CT,Remote,CN,M +2021,Data Engineer in office,Analysis,GBP,97008,109486,US,EN,FT,Hybrid,US,S +2020,Data Scientist ,,,188027,103528,US,,PT,In-person,CN, +2021,Data Analyst ,ML/AI,GBP,77367,187889,US,MI,PT,In-person,IN,L +2022,Statistician in office,ML/AI,INR,191874,129354,US,EN,CT,Remote,DE,M +2022,Data Scientist (Remote),Analysis,EUR,100408,100278,US,MI,CT,Remote,MX,M +2021,Statistician ,Analysis,JPY,73341,43369,US,MI,FT,Remote,IN,M +2021,Data Engineer (Remote),Data Science,us dolars,174763,90428,MX,SE,PT,In-person,MX,S +2020,Data Engineer in office,Data Science,GBP,139786,166116,CN,EX,FL,Hybrid,JP,S +2021,Data Scientist (Remote),ML/AI,EUR,34753,95123,US,MI,CT,Remote,JP,S +2020,Statistician in office,ML/AI,us dolars,31833,120914,IN,SE,PT,Hybrid,CN,L +2020,Data Engineer in office,Data Science,us dolars,38645,168333,US,EX,FL,Remote,DE,S +2022,Data Analyst (Remote),Data Science,INR,145428,48064,DE,EX,FL,Remote,IN,M +2022,Machine Learning Engineer ,Analysis,EUR,125977,43690,US,EN,FT,Remote,DE,L +2022,Machine Learning Engineer in office,Engineering,JPY,70024,163129,CN,EN,CT,Remote,IN,L +2022,Data Engineer in office,Analysis,EUR,138853,131025,MX,MI,FL,In-person,CN,M +2021,Statistician in office,Data Science,EUR,170707,198661,JP,EN,CT,In-person,CN,S +2022,Data Engineer ,ML/AI,us dolars,181136,130867,CN,SE,PT,Remote,CN,L +2021,Statistician ,Data Science,INR,39940,44559,CN,SE,PT,In-person,UK,M +2022,Data Analyst in office,ML/AI,INR,65169,174764,JP,EN,CT,In-person,DE,S +2021,Statistician ,,,108647,78429,US,,FL,In-person,MX, +2020,Data Engineer (Remote),ML/AI,EUR,75200,46972,MX,SE,FL,In-person,JP,L +2021,Data Analyst (Remote),ML/AI,GBP,190811,71530,MX,MI,PT,Hybrid,IN,L +2021,Data Scientist (Remote),Engineering,us dolars,178865,153297,US,MI,FL,Hybrid,UK,L +2022,Machine Learning Engineer (Remote),Data Science,JPY,113682,31365,JP,SE,FL,In-person,JP,L +2021,Data Engineer in office,Analysis,JPY,63677,79683,DE,EN,PT,Hybrid,IN,S +2020,Data Engineer (Remote),ML/AI,INR,53022,124356,UK,SE,FT,Remote,UK,M +2020,Data Engineer ,ML/AI,us dolars,188337,159406,IN,EX,PT,Hybrid,JP,L +2022,Data Analyst in office,Analysis,INR,30530,88896,JP,EX,CT,Remote,JP,M +2020,Data Scientist ,Analysis,JPY,39551,129339,US,EX,FT,Hybrid,UK,M +2021,Statistician (Remote),ML/AI,EUR,58394,179073,IN,MI,CT,Hybrid,JP,M +2020,Data Scientist in office,Analysis,us dolars,72987,167794,US,EN,FT,Remote,IN,S +2022,Data Analyst in office,Analysis,us dolars,98096,50100,UK,SE,FT,Remote,MX,M +2021,Data Engineer in office,Engineering,GBP,114097,150763,UK,EN,PT,In-person,IN,M +2022,Machine Learning Engineer (Remote),,,-100639,178532,JP,,PT,Hybrid,JP, +2021,Data Engineer ,Data Science,EUR,185162,91645,IN,EN,CT,Remote,US,L +2020,Statistician in office,Data Science,INR,32781,99551,CN,EX,PT,In-person,CN,L +2022,Machine Learning Engineer ,Data Science,us dolars,47330,34840,MX,SE,FT,Remote,UK,M +2022,Data Engineer (Remote),ML/AI,INR,35257,116069,MX,MI,PT,In-person,US,S +2021,Machine Learning Engineer (Remote),Data Science,EUR,88642,115990,IN,EN,CT,In-person,IN,L +2022,Data Scientist ,Engineering,GBP,81663,78105,CN,EN,FT,Remote,JP,L +2021,Data Analyst in office,Data Science,us dolars,64956,35699,UK,EX,CT,Remote,DE,M +2021,Data Engineer ,ML/AI,EUR,45615,166994,US,EX,FL,Hybrid,MX,M +2021,Statistician in office,,,30881,185991,MX,,PT,Hybrid,DE, +2021,Data Scientist in office,Data Science,JPY,162919,187580,CN,MI,FT,In-person,CN,L +2020,Data Engineer ,Engineering,EUR,151265,117200,CN,MI,CT,Remote,US,M +2021,Data Scientist in office,Engineering,JPY,117646,127806,JP,EX,PT,Hybrid,US,L +2022,Statistician in office,ML/AI,INR,157148,186350,DE,SE,PT,In-person,US,M +2020,Data Engineer in office,ML/AI,JPY,67336,175934,UK,EN,CT,Hybrid,IN,M +2022,Statistician (Remote),Engineering,EUR,111850,174670,CN,SE,FT,In-person,CN,S +2020,Machine Learning Engineer in office,,,-125654,156473,UK,,CT,Hybrid,MX, +2021,Statistician ,,,52966,185846,JP,,PT,Remote,CN, +2020,Machine Learning Engineer (Remote),Engineering,EUR,41320,32822,US,EN,CT,In-person,IN,M +2020,Data Engineer in office,Analysis,GBP,95125,198324,IN,EN,FL,In-person,CN,S +2022,Machine Learning Engineer (Remote),Analysis,JPY,147296,120585,UK,MI,PT,Hybrid,MX,S +2022,Data Engineer ,ML/AI,us dolars,155355,117420,JP,EN,FT,Hybrid,JP,S +2021,Data Engineer (Remote),Data Science,INR,41780,43052,JP,SE,FL,Hybrid,IN,L +2020,Data Analyst (Remote),Analysis,INR,106230,113574,JP,MI,CT,Remote,JP,M +2020,Data Engineer in office,Analysis,JPY,142696,160171,MX,MI,FT,Hybrid,JP,M +2020,Machine Learning Engineer ,Analysis,INR,136075,149879,MX,EN,FL,Hybrid,US,S +2021,Data Analyst ,Data Science,GBP,163001,174341,MX,MI,CT,Remote,DE,S +2021,Data Analyst (Remote),Data Science,EUR,125153,46551,IN,EX,FL,Hybrid,MX,S +2021,Data Engineer in office,ML/AI,us dolars,149522,99915,MX,SE,PT,Remote,US,L +2021,Statistician (Remote),ML/AI,JPY,175316,37661,UK,MI,FT,Remote,IN,M +2021,Statistician (Remote),Analysis,INR,128415,102503,CN,EX,FL,Hybrid,UK,S +2022,Data Analyst (Remote),Data Science,EUR,139715,125406,JP,EN,PT,Remote,IN,S +2020,Data Engineer in office,Engineering,GBP,152636,115930,IN,MI,CT,Hybrid,MX,M +2020,Statistician (Remote),Analysis,INR,145402,174603,MX,EX,PT,Remote,DE,L +2020,Data Engineer in office,ML/AI,INR,154281,182442,US,EN,CT,In-person,IN,L +2020,Data Engineer ,Data Science,us dolars,41116,179637,DE,EX,FT,Hybrid,DE,L +2020,Data Analyst (Remote),ML/AI,GBP,113301,154534,UK,EN,PT,In-person,UK,M +2020,Data Analyst ,,,-196967,161904,IN,,PT,In-person,UK, +2020,Data Scientist (Remote),Data Science,JPY,53867,171257,DE,MI,CT,In-person,CN,S +2020,Statistician ,,,139507,164564,DE,,FL,In-person,JP, +2022,Statistician in office,Data Science,JPY,31208,88859,MX,SE,CT,Hybrid,MX,M +2020,Statistician (Remote),Analysis,us dolars,95572,74630,IN,MI,FL,Remote,IN,L +2022,Machine Learning Engineer (Remote),,,-113748,31076,CN,,CT,Hybrid,JP, +2021,Data Engineer in office,,,172324,143868,CN,,FT,Hybrid,US, +2020,Data Analyst ,Engineering,us dolars,115261,195211,IN,EX,FL,Remote,MX,L +2021,Statistician ,,,168078,198774,IN,,PT,In-person,US, +2021,Data Scientist in office,Engineering,EUR,100883,188607,JP,SE,FL,Remote,US,M +2021,Statistician ,,,62171,128343,US,,CT,In-person,CN, +2022,Data Engineer in office,Data Science,GBP,58517,93705,CN,EX,CT,Hybrid,US,M +2021,Data Engineer ,Engineering,us dolars,185346,189270,JP,EN,FL,Remote,US,L +2021,Data Analyst in office,Data Science,GBP,194649,144870,DE,SE,PT,Remote,IN,S +2021,Machine Learning Engineer in office,Analysis,EUR,57648,125395,DE,SE,FT,In-person,JP,M +2020,Data Analyst in office,Analysis,us dolars,99654,133800,DE,MI,PT,Remote,JP,S +2020,Statistician in office,Analysis,JPY,47910,75760,IN,SE,FL,Hybrid,DE,S +2022,Data Scientist ,,,79647,153476,UK,,CT,Remote,US, +2022,Data Analyst (Remote),ML/AI,EUR,30424,65276,JP,SE,PT,Remote,UK,S +2020,Machine Learning Engineer ,Analysis,EUR,56641,91913,UK,SE,CT,Hybrid,DE,S +2022,Data Analyst in office,Engineering,us dolars,195822,103608,MX,MI,CT,In-person,DE,L +2020,Data Engineer (Remote),,,152416,43348,US,,PT,Remote,IN, +2021,Statistician (Remote),Data Science,JPY,184226,76678,US,EX,FL,In-person,DE,L +2021,Statistician ,ML/AI,JPY,173064,175024,JP,MI,PT,Remote,UK,S +2022,Statistician in office,Engineering,GBP,64001,144369,DE,EN,FT,Hybrid,JP,S +2020,Statistician in office,ML/AI,us dolars,44546,30318,MX,EN,CT,In-person,DE,M +2020,Statistician in office,ML/AI,EUR,31304,107354,CN,MI,CT,Remote,IN,L +2022,Statistician in office,ML/AI,INR,152722,56011,US,EX,FL,In-person,MX,S +2020,Data Scientist in office,Data Science,us dolars,142448,48787,UK,MI,CT,Remote,US,S +2021,Machine Learning Engineer (Remote),ML/AI,us dolars,112368,142286,UK,SE,CT,Hybrid,UK,S +2022,Statistician ,ML/AI,INR,118327,139160,CN,SE,CT,Hybrid,US,L +2022,Machine Learning Engineer ,Analysis,EUR,40022,173588,IN,EN,PT,Remote,CN,L +2020,Statistician ,Data Science,us dolars,107354,129032,DE,SE,CT,Remote,DE,L +2022,Data Analyst (Remote),Engineering,JPY,194689,195127,IN,EX,PT,In-person,JP,M +2020,Statistician (Remote),Engineering,JPY,150045,132305,JP,MI,FL,Remote,IN,M +2020,Data Engineer ,Engineering,INR,99498,38752,US,EX,FT,In-person,MX,S +2020,Data Scientist (Remote),Data Science,EUR,153780,154345,CN,EN,CT,Remote,UK,L +2020,Data Analyst (Remote),Engineering,INR,64307,110506,CN,SE,FT,Hybrid,JP,L +2020,Data Analyst ,Data Science,us dolars,149645,140382,CN,SE,PT,In-person,UK,M +2022,Data Engineer (Remote),,,183399,128328,IN,,FL,In-person,IN, +2021,Statistician in office,Analysis,GBP,33244,178610,IN,EX,FL,Hybrid,IN,L +2021,Data Scientist ,Data Science,INR,183792,42657,JP,EX,PT,In-person,DE,L +2022,Data Analyst ,Engineering,GBP,55090,178915,UK,MI,FT,Hybrid,UK,S +2022,Data Scientist ,Data Science,GBP,94277,111119,UK,SE,CT,Hybrid,CN,M +2021,Data Analyst ,Data Science,JPY,141559,51491,MX,EN,PT,Hybrid,CN,M +2021,Statistician (Remote),ML/AI,INR,129895,133010,JP,EN,PT,Remote,DE,L +2021,Data Analyst ,Data Science,GBP,152641,158801,CN,MI,PT,Hybrid,UK,S +2021,Data Analyst in office,ML/AI,us dolars,37855,72180,UK,MI,PT,In-person,UK,S +2021,Machine Learning Engineer (Remote),Analysis,EUR,152963,48540,JP,MI,PT,Remote,US,S +2020,Statistician (Remote),ML/AI,EUR,146815,37943,UK,EX,FL,Hybrid,DE,L +2022,Data Engineer ,Data Science,JPY,162673,150730,MX,SE,PT,Hybrid,UK,M +2020,Data Engineer (Remote),Analysis,INR,193024,38911,JP,SE,FL,Hybrid,UK,M +2021,Statistician (Remote),ML/AI,INR,141113,93000,UK,MI,FT,In-person,IN,M +2021,Data Engineer (Remote),Data Science,EUR,80374,99305,CN,EN,CT,Remote,MX,M +2021,Statistician ,Analysis,us dolars,166762,32479,IN,EX,FL,Remote,US,M +2020,Data Engineer in office,ML/AI,EUR,42521,40112,IN,MI,CT,Remote,CN,L +2020,Machine Learning Engineer ,Data Science,EUR,130146,139575,MX,EX,CT,In-person,CN,L +2021,Data Engineer in office,Data Science,INR,169130,76809,CN,MI,CT,Hybrid,IN,M +2020,Data Analyst (Remote),Engineering,GBP,174776,62205,UK,EX,FL,Remote,MX,M +2020,Statistician in office,Engineering,us dolars,88933,167629,CN,EN,FL,Hybrid,MX,L +2021,Data Scientist ,,,101101,197170,JP,,FL,In-person,DE, +2020,Data Scientist ,ML/AI,EUR,73856,199862,IN,EN,FT,Remote,CN,M +2022,Statistician ,ML/AI,GBP,67256,140947,US,EN,FL,In-person,DE,M +2022,Machine Learning Engineer (Remote),Data Science,us dolars,87352,64826,MX,SE,FT,Remote,UK,S +2022,Data Engineer in office,ML/AI,JPY,191687,183146,UK,SE,FL,Remote,JP,M +2022,Machine Learning Engineer ,,,-151638,156201,US,,FL,Hybrid,MX, +2021,Data Scientist ,ML/AI,us dolars,31927,117691,US,MI,CT,In-person,MX,M +2021,Statistician ,Data Science,EUR,176584,146558,MX,SE,PT,Remote,IN,M +2021,Statistician (Remote),Data Science,EUR,38301,131925,DE,MI,CT,Remote,MX,L +2022,Machine Learning Engineer ,Engineering,JPY,116849,126320,US,EX,FL,In-person,DE,L +2022,Machine Learning Engineer (Remote),Analysis,JPY,98759,62401,US,MI,PT,Hybrid,MX,L +2020,Data Engineer (Remote),Data Science,JPY,118047,172637,CN,EN,PT,In-person,UK,S +2020,Data Analyst ,ML/AI,INR,116991,120236,DE,EN,FT,Remote,UK,S +2022,Data Analyst (Remote),Engineering,INR,93058,94702,DE,SE,PT,In-person,IN,M +2022,Data Engineer (Remote),ML/AI,EUR,184506,172184,DE,EX,FT,Hybrid,MX,S +2022,Data Analyst ,ML/AI,EUR,60341,109297,MX,SE,CT,Hybrid,CN,L +2022,Data Scientist ,Data Science,JPY,137845,138327,JP,SE,FT,Hybrid,UK,S +2020,Data Analyst in office,,,176079,169957,DE,,FL,Hybrid,US, +2022,Data Engineer ,Analysis,GBP,129878,162448,CN,EX,PT,Hybrid,CN,S +2020,Data Analyst in office,Data Science,INR,187871,167011,JP,EN,FL,Hybrid,JP,L +2022,Statistician in office,Data Science,EUR,85820,163918,UK,EN,PT,Hybrid,IN,M +2022,Machine Learning Engineer in office,Analysis,INR,176746,102353,JP,SE,PT,Remote,IN,S +2022,Data Scientist ,ML/AI,EUR,176498,37430,UK,MI,CT,In-person,IN,M +2020,Statistician in office,Analysis,JPY,74791,187400,DE,EN,FT,Hybrid,UK,M +2020,Statistician in office,Analysis,JPY,33255,172223,DE,EN,CT,In-person,UK,S +2021,Data Engineer in office,Analysis,JPY,194898,188691,UK,EX,FT,In-person,IN,M +2022,Machine Learning Engineer ,Engineering,GBP,34944,64484,IN,EN,CT,Remote,IN,S +2021,Machine Learning Engineer ,ML/AI,GBP,198898,154506,CN,EN,CT,In-person,US,L +2021,Data Scientist ,Engineering,EUR,60497,188736,JP,SE,PT,In-person,DE,L +2020,Data Engineer ,Engineering,us dolars,57723,167852,CN,SE,CT,Hybrid,CN,S +2020,Data Scientist (Remote),Data Science,GBP,196359,58604,CN,EX,CT,Hybrid,CN,S +2021,Data Analyst ,Analysis,EUR,41845,137385,US,EX,FT,In-person,US,M +2022,Statistician in office,Analysis,INR,119833,47762,DE,MI,CT,Hybrid,IN,S +2020,Data Scientist ,Engineering,JPY,123039,149272,JP,EN,PT,Remote,MX,M +2022,Statistician (Remote),Data Science,JPY,85569,184837,CN,SE,CT,In-person,UK,L +2022,Data Engineer (Remote),Data Science,JPY,111434,198115,JP,SE,FL,In-person,UK,S +2021,Data Analyst (Remote),Data Science,EUR,186535,119230,CN,EN,FL,Remote,IN,L +2021,Data Engineer ,,,30744,171628,DE,,FT,Remote,DE, +2021,Data Analyst (Remote),Engineering,GBP,197354,109091,CN,SE,FT,Remote,JP,L +2021,Data Analyst (Remote),ML/AI,INR,82082,144919,UK,EX,FL,Remote,JP,S +2020,Statistician (Remote),Data Science,JPY,106407,160731,DE,SE,CT,In-person,US,S +2020,Data Engineer ,Data Science,EUR,109072,40004,JP,SE,CT,Hybrid,CN,M +2021,Data Engineer (Remote),Data Science,INR,94766,133726,MX,MI,FT,Hybrid,DE,M +2020,Data Scientist (Remote),Analysis,JPY,95711,181882,IN,SE,PT,Hybrid,JP,S +2021,Data Engineer in office,Engineering,us dolars,33217,30247,CN,EN,CT,Hybrid,DE,M +2022,Data Scientist in office,Analysis,JPY,191431,181834,UK,EN,FL,Remote,UK,S +2022,Machine Learning Engineer in office,ML/AI,GBP,142000,141902,DE,EN,PT,Hybrid,UK,S +2022,Machine Learning Engineer (Remote),Analysis,INR,83509,75995,US,EX,PT,Hybrid,MX,L +2021,Machine Learning Engineer in office,,,-52357,89423,MX,,CT,In-person,DE, +2022,Data Engineer ,Analysis,us dolars,72354,91969,MX,EX,PT,In-person,IN,M +2020,Data Engineer in office,Data Science,us dolars,68570,59052,DE,MI,FT,Hybrid,JP,L +2022,Data Scientist ,ML/AI,GBP,37034,79214,MX,SE,PT,Remote,JP,S +2022,Data Analyst in office,ML/AI,INR,46263,195391,JP,EN,FT,Hybrid,UK,M +2022,Data Scientist in office,,,105348,98858,JP,,CT,Remote,MX, +2020,Machine Learning Engineer in office,,,115275,70765,US,,PT,In-person,MX, +2021,Data Scientist ,Data Science,JPY,187997,185942,UK,SE,FL,Remote,CN,M +2020,Data Analyst ,Engineering,EUR,49575,173538,JP,EN,FL,Hybrid,US,S +2021,Data Engineer in office,Analysis,us dolars,52231,75284,UK,EX,FT,In-person,JP,S +2021,Data Scientist ,ML/AI,INR,106935,80034,UK,SE,FT,Hybrid,UK,M +2022,Machine Learning Engineer in office,Analysis,INR,53100,63161,DE,EN,CT,Hybrid,MX,L +2021,Machine Learning Engineer (Remote),Data Science,JPY,171840,83565,UK,MI,PT,Remote,UK,L +2020,Data Engineer (Remote),Data Science,INR,80697,91314,CN,SE,FT,Hybrid,DE,L +2020,Data Scientist (Remote),Analysis,JPY,41357,149378,JP,MI,FT,Hybrid,DE,L +2021,Data Analyst ,ML/AI,us dolars,186018,81929,JP,EN,CT,In-person,CN,L +2022,Data Engineer (Remote),,,-101038,38086,IN,,PT,Remote,DE, +2022,Data Scientist in office,Analysis,us dolars,135912,129209,MX,EX,PT,Remote,US,M +2020,Statistician in office,Data Science,us dolars,85149,184534,UK,MI,FT,In-person,MX,L +2022,Machine Learning Engineer ,Data Science,EUR,35566,148409,IN,MI,PT,In-person,JP,M +2021,Data Analyst in office,Engineering,EUR,152474,178028,DE,MI,PT,Remote,US,S +2021,Data Analyst (Remote),Analysis,us dolars,71576,112563,IN,SE,PT,In-person,MX,M +2020,Data Analyst in office,Engineering,INR,83318,143212,MX,EN,FL,Remote,US,S +2021,Machine Learning Engineer ,Engineering,JPY,99550,135317,UK,MI,PT,In-person,DE,M +2020,Data Scientist in office,ML/AI,GBP,157059,75602,MX,MI,FL,Remote,CN,M +2021,Data Engineer in office,ML/AI,JPY,81408,166677,JP,MI,PT,Remote,UK,S +2020,Data Scientist (Remote),Data Science,GBP,109149,106213,DE,EX,PT,In-person,IN,M +2022,Data Engineer ,Analysis,GBP,70167,178010,UK,MI,PT,Hybrid,UK,S +2021,Data Analyst (Remote),,,-63699,142355,DE,,FT,Hybrid,UK, +2021,Data Scientist in office,Data Science,GBP,79545,82545,US,EX,FT,In-person,UK,M +2020,Data Analyst ,Analysis,us dolars,143927,138720,UK,EN,FL,Remote,UK,L +2020,Statistician in office,Data Science,EUR,53386,45009,US,EX,PT,In-person,US,M +2021,Data Analyst in office,ML/AI,INR,89273,60246,IN,EX,FL,Hybrid,DE,L +2020,Data Analyst (Remote),Data Science,GBP,142312,58185,UK,SE,PT,Remote,DE,L +2021,Data Engineer in office,,,-71585,154868,US,,CT,Remote,UK, +2022,Statistician ,Analysis,us dolars,160126,116488,CN,EX,FL,Remote,IN,S +2020,Data Analyst ,Data Science,GBP,37509,76642,JP,EN,FT,Hybrid,JP,M +2021,Data Analyst (Remote),Analysis,JPY,106607,39185,IN,EN,CT,Hybrid,UK,S +2022,Statistician (Remote),Data Science,EUR,142385,94366,UK,MI,FT,Remote,UK,L +2022,Statistician ,Analysis,EUR,93305,180915,UK,SE,CT,Remote,IN,M +2021,Data Scientist (Remote),Data Science,GBP,131085,47505,JP,EX,CT,Hybrid,US,S +2020,Data Engineer in office,Data Science,EUR,72851,58022,JP,SE,CT,Hybrid,UK,S +2021,Statistician ,Data Science,JPY,106910,177511,MX,MI,FL,Remote,IN,S +2022,Statistician (Remote),Engineering,INR,64407,110196,US,SE,FL,In-person,US,L +2021,Machine Learning Engineer ,Analysis,JPY,76606,104385,US,EX,FT,In-person,US,S +2020,Statistician in office,ML/AI,EUR,137277,100272,US,EN,FL,In-person,CN,M +2022,Data Engineer (Remote),Data Science,INR,160204,196449,MX,SE,FT,Hybrid,MX,M +2021,Data Analyst ,,,-171320,33909,DE,,PT,In-person,MX, +2020,Data Analyst in office,ML/AI,us dolars,40515,175939,IN,MI,FT,In-person,CN,L +2022,Data Analyst (Remote),,,130578,161866,UK,,FT,Hybrid,CN, +2020,Data Analyst ,ML/AI,INR,122345,113481,IN,SE,FL,In-person,UK,M +2022,Machine Learning Engineer in office,,,171902,88527,JP,,FT,Remote,MX, +2021,Statistician in office,ML/AI,INR,90631,176441,CN,EX,FL,Hybrid,US,S +2020,Data Analyst in office,Data Science,us dolars,130784,53807,IN,SE,FT,Remote,UK,M +2022,Data Scientist in office,,,-155496,40856,IN,,PT,In-person,UK, +2020,Data Analyst in office,ML/AI,INR,167871,167867,US,MI,FL,Remote,DE,M +2020,Statistician (Remote),Data Science,us dolars,175400,192135,JP,EX,FL,Hybrid,JP,M +2021,Data Analyst in office,Engineering,INR,173751,199332,IN,EN,PT,In-person,JP,L +2020,Machine Learning Engineer (Remote),Engineering,INR,51058,171221,UK,SE,FL,Hybrid,DE,S +2022,Data Engineer (Remote),ML/AI,INR,156226,122205,US,EX,FT,In-person,MX,S +2022,Data Engineer ,Analysis,us dolars,76696,187400,MX,EN,CT,Hybrid,UK,L +2022,Statistician ,ML/AI,JPY,68872,133303,IN,EN,FL,Hybrid,IN,M +2022,Data Engineer (Remote),Analysis,us dolars,84971,99098,JP,EX,CT,Remote,US,L +2021,Data Engineer in office,ML/AI,us dolars,112083,146382,CN,EX,FT,Hybrid,DE,M +2020,Data Scientist in office,Engineering,INR,53306,194695,UK,EX,PT,Hybrid,CN,L +2021,Statistician (Remote),ML/AI,GBP,189282,149443,CN,EN,FL,Remote,DE,S +2020,Statistician in office,ML/AI,GBP,75693,197461,JP,EX,CT,In-person,DE,L +2020,Data Engineer (Remote),Analysis,GBP,58239,165278,JP,SE,PT,In-person,MX,L +2020,Data Engineer ,Engineering,us dolars,123366,132900,JP,EN,PT,Hybrid,MX,M +2021,Data Engineer in office,Analysis,INR,98917,159611,CN,SE,FL,Remote,DE,M +2020,Machine Learning Engineer in office,ML/AI,GBP,130368,50897,DE,SE,CT,In-person,JP,M +2021,Data Analyst in office,Data Science,EUR,168519,165442,UK,EX,FL,Remote,UK,L +2022,Machine Learning Engineer ,ML/AI,EUR,181343,185117,JP,SE,FT,Hybrid,DE,L +2022,Statistician in office,ML/AI,EUR,148469,117236,DE,EX,PT,Remote,DE,M +2020,Data Scientist (Remote),Analysis,JPY,133434,131751,US,EN,CT,Hybrid,DE,S +2021,Data Analyst in office,Data Science,INR,56221,151918,DE,SE,FL,In-person,IN,M +2022,Data Scientist (Remote),Data Science,us dolars,122799,78671,US,EX,PT,In-person,IN,L +2021,Statistician in office,Analysis,us dolars,86467,176398,CN,MI,FL,In-person,US,L +2021,Statistician (Remote),Engineering,INR,103269,133533,MX,EX,CT,In-person,UK,M +2020,Data Scientist ,Data Science,JPY,141414,191711,MX,MI,FT,Remote,DE,M +2022,Data Scientist in office,Data Science,INR,100585,90874,DE,EX,FT,Remote,US,L +2020,Data Scientist ,Analysis,JPY,73086,182350,CN,MI,FT,Remote,MX,L +2020,Statistician ,Engineering,GBP,140937,138459,JP,SE,FL,Hybrid,CN,S +2022,Data Engineer in office,Engineering,GBP,116624,123679,DE,MI,PT,In-person,US,M +2022,Data Scientist in office,ML/AI,JPY,111144,156750,DE,SE,FT,In-person,CN,M +2021,Data Analyst (Remote),ML/AI,INR,30638,100400,JP,SE,FT,In-person,CN,S +2022,Statistician in office,Analysis,GBP,100679,39676,US,EX,FT,Remote,UK,L +2021,Machine Learning Engineer in office,Engineering,INR,96760,34234,JP,SE,FT,Remote,IN,L +2021,Machine Learning Engineer (Remote),Analysis,GBP,77234,182412,UK,EN,CT,In-person,UK,S +2021,Data Analyst (Remote),ML/AI,INR,91049,142451,MX,MI,CT,Hybrid,US,M +2022,Data Engineer in office,,,-93843,114259,MX,,PT,Remote,CN, +2020,Data Scientist in office,Analysis,EUR,140406,169598,DE,SE,CT,In-person,UK,S +2021,Statistician in office,Data Science,JPY,170813,64626,UK,MI,CT,In-person,IN,S +2020,Data Scientist ,Data Science,us dolars,93004,31207,JP,MI,CT,In-person,US,S +2020,Statistician ,,,91489,159330,MX,,FL,Hybrid,UK, +2022,Machine Learning Engineer in office,ML/AI,INR,52991,112844,CN,MI,CT,In-person,MX,L +2020,Data Scientist (Remote),Analysis,INR,135711,82097,JP,EX,FL,Remote,MX,S +2020,Data Analyst in office,Data Science,JPY,187153,150069,IN,EX,FL,Hybrid,DE,S +2022,Data Engineer in office,Data Science,INR,152761,166501,UK,SE,CT,Hybrid,DE,L +2021,Data Analyst ,Data Science,GBP,87304,83591,MX,SE,FL,In-person,UK,L +2020,Data Engineer in office,ML/AI,INR,176714,168663,IN,EX,FT,Remote,UK,L +2022,Data Scientist in office,ML/AI,JPY,105103,141248,UK,MI,PT,Remote,CN,L +2020,Data Scientist ,Analysis,JPY,137163,199732,CN,MI,CT,In-person,MX,L +2020,Data Engineer ,Analysis,JPY,148778,107313,IN,EN,CT,In-person,CN,S +2021,Machine Learning Engineer (Remote),Analysis,EUR,178471,134249,IN,SE,PT,Remote,IN,L +2020,Statistician (Remote),Data Science,EUR,63103,70459,UK,MI,CT,Hybrid,US,L +2022,Data Analyst (Remote),Engineering,EUR,45330,132331,JP,MI,CT,Hybrid,UK,S +2020,Data Analyst in office,ML/AI,EUR,177536,132599,US,SE,PT,In-person,US,S +2021,Data Analyst (Remote),Data Science,EUR,163206,108405,JP,EX,FL,In-person,DE,M +2021,Data Scientist ,Data Science,EUR,154679,119399,US,MI,FT,Remote,US,L +2022,Data Analyst (Remote),Analysis,EUR,79409,165733,UK,EN,FL,Remote,JP,M +2021,Statistician in office,Analysis,JPY,30184,74802,DE,MI,FT,Remote,MX,M +2020,Statistician in office,Data Science,us dolars,151529,48782,JP,MI,PT,Remote,IN,S +2021,Data Engineer (Remote),ML/AI,EUR,102799,140446,IN,EN,FL,In-person,MX,S +2022,Data Scientist in office,ML/AI,JPY,85810,162970,JP,EX,FL,In-person,IN,M +2021,Statistician in office,Data Science,us dolars,108727,97963,UK,EN,FT,Remote,US,M +2021,Machine Learning Engineer in office,Engineering,EUR,193806,106303,DE,EN,FT,In-person,IN,M +2021,Data Scientist (Remote),Engineering,us dolars,80546,113956,DE,SE,FT,In-person,US,M +2022,Data Scientist in office,ML/AI,us dolars,65120,66123,JP,MI,FT,Remote,US,L +2021,Statistician (Remote),Analysis,GBP,105036,86198,JP,EX,CT,Hybrid,DE,M +2021,Machine Learning Engineer (Remote),Engineering,INR,110528,82872,CN,MI,PT,Hybrid,MX,S +2020,Data Engineer in office,Engineering,GBP,40133,34902,JP,EX,FT,Remote,US,M +2022,Statistician (Remote),Analysis,us dolars,167477,187922,UK,EN,FL,Hybrid,IN,M +2021,Machine Learning Engineer (Remote),Engineering,JPY,191341,78554,US,SE,FL,In-person,JP,S +2022,Data Scientist in office,Data Science,EUR,126993,169352,CN,EN,FL,Hybrid,UK,M +2021,Machine Learning Engineer in office,Engineering,INR,145742,110490,US,MI,FT,Remote,IN,S +2021,Data Scientist (Remote),Analysis,EUR,178157,87465,IN,SE,PT,Remote,JP,L +2021,Statistician ,,,65702,198801,MX,,CT,Hybrid,IN, +2020,Statistician ,,,-174574,62800,UK,,FT,Hybrid,JP, +2020,Data Analyst ,ML/AI,GBP,76479,127143,CN,EX,FT,In-person,IN,L +2020,Data Analyst ,Data Science,us dolars,109384,148529,DE,SE,CT,Hybrid,UK,L +2022,Data Analyst (Remote),Data Science,JPY,117957,108871,CN,EX,PT,Hybrid,DE,L +2022,Statistician in office,ML/AI,us dolars,44426,101713,IN,EX,FT,Hybrid,DE,S +2020,Data Engineer ,ML/AI,us dolars,176932,71206,DE,EX,FL,In-person,UK,M +2022,Statistician in office,Engineering,EUR,76865,33926,CN,SE,FL,Hybrid,IN,L +2021,Machine Learning Engineer ,Engineering,JPY,77404,143682,DE,EN,FT,In-person,MX,M +2021,Statistician ,Analysis,us dolars,121246,73056,JP,SE,PT,In-person,JP,M +2021,Statistician ,Analysis,GBP,87423,98495,DE,EN,FL,Remote,US,L +2020,Data Scientist in office,Data Science,INR,120947,114147,CN,SE,FL,Remote,IN,L +2022,Data Scientist in office,ML/AI,JPY,61152,195233,DE,EN,CT,In-person,UK,M +2020,Data Scientist ,ML/AI,EUR,133870,179479,UK,EN,PT,In-person,CN,L +2022,Statistician in office,,,-60737,86714,JP,,FT,In-person,DE, +2021,Data Engineer ,Data Science,EUR,84325,159613,JP,EX,CT,Remote,DE,S +2020,Machine Learning Engineer (Remote),Data Science,INR,199839,167711,IN,EX,CT,In-person,IN,L +2022,Machine Learning Engineer in office,Analysis,GBP,163074,32478,JP,EN,CT,Remote,JP,M +2022,Data Engineer ,,,-112159,94546,US,,PT,Remote,MX, +2021,Data Engineer (Remote),Analysis,JPY,146632,149147,UK,MI,PT,In-person,MX,S +2020,Machine Learning Engineer (Remote),Engineering,EUR,85713,118373,IN,SE,PT,In-person,UK,M +2020,Data Analyst ,Data Science,INR,71815,59974,US,SE,FT,In-person,UK,L +2020,Data Scientist (Remote),Data Science,us dolars,117787,74183,DE,SE,PT,Remote,JP,S +2021,Data Scientist (Remote),Data Science,INR,108243,169490,MX,MI,CT,Hybrid,JP,M +2020,Machine Learning Engineer ,Analysis,GBP,52743,130361,US,EX,FL,In-person,MX,S +2021,Data Engineer (Remote),Analysis,us dolars,86739,87148,IN,SE,FT,Hybrid,IN,L +2021,Data Analyst (Remote),Analysis,us dolars,149492,142007,JP,SE,FT,Hybrid,MX,L +2021,Machine Learning Engineer ,Analysis,us dolars,128156,142239,UK,EX,FT,Hybrid,IN,S +2022,Data Scientist ,ML/AI,EUR,160275,138747,MX,EN,CT,Hybrid,CN,S +2020,Statistician (Remote),Analysis,us dolars,60339,192780,IN,SE,PT,Hybrid,DE,S +2020,Data Engineer in office,,,64121,131245,US,,CT,Remote,DE, +2021,Statistician ,ML/AI,EUR,144132,193996,MX,MI,FL,Remote,JP,S +2021,Machine Learning Engineer in office,ML/AI,us dolars,71446,53382,US,SE,PT,Remote,US,M +2020,Data Scientist ,,,-156530,56649,IN,,FL,Hybrid,US, +2021,Data Analyst in office,Data Science,INR,181770,140559,MX,EX,FT,Remote,US,M +2020,Statistician ,Analysis,JPY,126342,128099,CN,EN,FT,In-person,UK,S +2022,Data Analyst (Remote),Data Science,INR,113404,60373,CN,EN,CT,Hybrid,IN,M +2021,Data Scientist (Remote),Analysis,GBP,77918,52791,IN,SE,PT,In-person,JP,L +2020,Statistician in office,Analysis,us dolars,126666,53115,CN,SE,FT,Hybrid,DE,S +2021,Data Analyst in office,Data Science,us dolars,36125,178413,IN,EN,CT,Hybrid,US,S +2020,Data Analyst ,Data Science,us dolars,157422,143109,JP,EN,FL,Hybrid,DE,L +2020,Statistician ,Data Science,INR,59046,177709,MX,SE,CT,Hybrid,IN,M +2021,Data Scientist in office,Data Science,INR,152618,185341,IN,MI,PT,In-person,CN,L +2022,Data Analyst in office,Engineering,us dolars,40114,113489,DE,SE,PT,Hybrid,CN,L +2020,Machine Learning Engineer (Remote),Data Science,EUR,30637,53877,UK,EX,PT,Hybrid,JP,M +2020,Statistician in office,Analysis,EUR,68634,70273,UK,SE,FT,Remote,US,M +2020,Data Engineer (Remote),Analysis,GBP,118713,86035,DE,SE,CT,Hybrid,US,S +2022,Data Engineer in office,Engineering,JPY,65776,173477,US,SE,FL,Hybrid,CN,S +2022,Data Scientist (Remote),Data Science,GBP,184672,141141,US,SE,PT,Hybrid,JP,S +2021,Machine Learning Engineer (Remote),Analysis,us dolars,56809,71767,US,SE,CT,Hybrid,DE,L +2022,Data Analyst (Remote),Engineering,us dolars,184828,150456,MX,SE,FT,Hybrid,IN,M +2021,Data Engineer ,Analysis,us dolars,68368,171045,US,MI,FL,Hybrid,CN,M +2021,Data Scientist (Remote),Engineering,JPY,107185,88565,JP,SE,FL,In-person,CN,S +2022,Machine Learning Engineer in office,Engineering,INR,157169,119461,DE,EN,FL,In-person,IN,L +2021,Machine Learning Engineer in office,ML/AI,JPY,172952,158577,UK,SE,FT,Hybrid,IN,L +2022,Data Scientist in office,ML/AI,GBP,146193,140159,DE,MI,PT,In-person,CN,M +2021,Data Scientist ,Data Science,INR,117762,53091,UK,EX,FT,Remote,DE,M +2022,Data Analyst (Remote),ML/AI,INR,136745,49584,US,EN,FL,Remote,DE,M +2022,Data Scientist ,Engineering,GBP,95316,134861,JP,SE,CT,Hybrid,US,M +2021,Data Analyst (Remote),,,100856,152235,IN,,FL,Hybrid,DE, +2020,Data Analyst in office,Analysis,EUR,169799,144688,IN,EN,CT,In-person,UK,S +2021,Statistician (Remote),Data Science,GBP,69211,46550,CN,SE,FT,Remote,JP,M +2022,Machine Learning Engineer ,ML/AI,GBP,115469,163135,US,MI,FT,Hybrid,DE,M +2020,Machine Learning Engineer ,Data Science,EUR,108930,122816,US,SE,FT,Remote,IN,M +2021,Machine Learning Engineer ,Engineering,JPY,71417,41631,DE,EX,CT,In-person,DE,L +2021,Statistician ,,,-192509,31125,JP,,FT,Hybrid,US, +2021,Data Analyst in office,Data Science,JPY,50519,196481,JP,SE,PT,Hybrid,MX,L +2020,Data Analyst ,Analysis,INR,37983,80581,DE,EX,FL,Hybrid,JP,S +2022,Data Scientist ,Analysis,EUR,74656,52485,JP,EN,PT,Remote,JP,L +2021,Statistician ,Data Science,GBP,35635,138539,MX,MI,CT,In-person,IN,M +2021,Data Scientist in office,Data Science,GBP,132373,113554,MX,SE,FT,Remote,JP,M +2021,Statistician (Remote),Data Science,GBP,134555,104398,JP,SE,FL,Remote,UK,S +2021,Data Scientist in office,Engineering,INR,139883,162762,MX,EN,FT,Hybrid,JP,L +2021,Data Engineer in office,Engineering,INR,180694,45740,IN,EN,FT,In-person,CN,S +2022,Machine Learning Engineer in office,Analysis,JPY,104975,118560,JP,MI,FL,In-person,IN,L +2022,Machine Learning Engineer (Remote),Engineering,INR,123445,115877,MX,MI,FL,Hybrid,JP,M +2021,Data Analyst ,Engineering,JPY,90666,39156,US,MI,PT,In-person,DE,S +2020,Data Engineer in office,,,-130877,144968,IN,,PT,Hybrid,US, +2022,Machine Learning Engineer ,Engineering,GBP,86005,198286,US,SE,PT,Hybrid,CN,M +2020,Data Analyst ,ML/AI,INR,137725,126589,US,MI,PT,In-person,CN,M +2022,Data Engineer (Remote),Engineering,JPY,172475,93389,MX,SE,PT,In-person,DE,M +2021,Machine Learning Engineer (Remote),Analysis,EUR,90477,163880,MX,EN,CT,In-person,MX,M +2022,Data Scientist in office,Data Science,EUR,130405,100938,DE,EX,CT,In-person,CN,M +2021,Statistician (Remote),Analysis,INR,95035,97500,CN,SE,FT,Remote,UK,M +2022,Data Engineer (Remote),Engineering,GBP,193975,90734,JP,MI,FT,Hybrid,UK,L +2021,Data Analyst (Remote),Data Science,GBP,168383,178278,JP,SE,PT,Hybrid,US,L +2021,Data Engineer ,Data Science,JPY,127561,170701,JP,EN,FT,Hybrid,US,S +2021,Data Analyst (Remote),Data Science,INR,50615,62337,JP,MI,CT,Hybrid,US,L +2021,Data Engineer in office,ML/AI,EUR,86808,117095,MX,EX,CT,Remote,US,S +2020,Data Analyst (Remote),Analysis,JPY,63580,93829,IN,MI,FT,In-person,JP,L +2021,Machine Learning Engineer in office,ML/AI,JPY,153731,99830,UK,MI,PT,In-person,CN,L +2020,Data Scientist in office,Data Science,us dolars,121856,76939,US,MI,CT,In-person,DE,M +2020,Machine Learning Engineer (Remote),Analysis,INR,72898,42965,CN,SE,FL,Hybrid,UK,L +2021,Data Scientist ,Analysis,JPY,185024,42228,CN,EX,FL,Remote,JP,L +2020,Machine Learning Engineer in office,Engineering,EUR,112790,78419,UK,EN,FT,Remote,US,L +2022,Machine Learning Engineer in office,ML/AI,us dolars,45227,126913,UK,SE,PT,In-person,IN,M +2021,Data Engineer in office,ML/AI,EUR,174832,79229,UK,EX,FT,Hybrid,IN,M +2020,Statistician (Remote),Engineering,GBP,38826,173894,MX,EX,PT,In-person,DE,L +2021,Data Analyst in office,ML/AI,us dolars,128972,60070,IN,SE,PT,Hybrid,UK,S +2021,Data Analyst (Remote),Data Science,us dolars,113213,154045,UK,MI,FL,In-person,MX,L +2021,Data Analyst in office,Data Science,JPY,169745,37135,IN,EX,CT,In-person,UK,M +2020,Data Scientist ,ML/AI,GBP,123402,129093,MX,EN,CT,Remote,DE,M +2022,Data Analyst in office,Engineering,JPY,66158,129626,DE,SE,FT,Hybrid,MX,S +2022,Data Analyst (Remote),Analysis,INR,45904,69441,DE,EX,FT,Remote,US,M +2020,Data Engineer (Remote),ML/AI,EUR,155212,146190,CN,EN,PT,Remote,US,M +2021,Machine Learning Engineer in office,Analysis,EUR,176468,179115,DE,EN,CT,In-person,CN,L +2020,Data Analyst (Remote),Engineering,JPY,117469,126108,IN,EN,PT,Hybrid,UK,S +2020,Statistician ,Analysis,EUR,84039,105043,IN,EN,FL,Hybrid,UK,M +2020,Data Analyst (Remote),Engineering,EUR,34334,33062,US,SE,FL,In-person,UK,M +2021,Data Scientist in office,,,126996,120236,UK,,PT,In-person,MX, +2020,Data Scientist ,Data Science,GBP,57268,82214,JP,SE,PT,In-person,US,L +2021,Data Scientist (Remote),,,94636,83409,JP,,PT,Hybrid,IN, +2020,Data Analyst in office,Engineering,JPY,52068,171940,UK,EN,PT,In-person,DE,L +2022,Data Engineer (Remote),ML/AI,JPY,189319,98089,JP,SE,PT,In-person,DE,S +2020,Statistician in office,Data Science,INR,95121,124047,JP,MI,FL,Remote,JP,L +2020,Data Analyst (Remote),Engineering,INR,153761,47428,MX,EX,FL,In-person,JP,S +2022,Data Engineer (Remote),Analysis,us dolars,46285,138283,JP,EX,FL,In-person,IN,M +2021,Data Engineer ,Analysis,GBP,130539,199461,CN,SE,FT,Hybrid,UK,M +2021,Data Analyst ,ML/AI,JPY,54136,64734,IN,EN,FL,In-person,IN,L +2020,Data Analyst (Remote),Analysis,INR,198859,95107,IN,SE,CT,Hybrid,MX,L +2022,Data Engineer in office,,,-54425,116889,IN,,CT,Remote,MX, +2021,Data Engineer in office,Engineering,EUR,48961,142168,UK,SE,PT,Remote,JP,M +2020,Data Engineer (Remote),Analysis,JPY,194515,114170,DE,EX,FL,Hybrid,CN,M +2022,Data Analyst (Remote),Analysis,GBP,48823,172751,CN,SE,PT,In-person,JP,M +2021,Data Engineer ,Analysis,GBP,105409,185789,CN,EX,PT,Hybrid,DE,S +2021,Data Scientist (Remote),,,-101123,186651,JP,,CT,In-person,MX, +2022,Data Analyst (Remote),Engineering,EUR,134249,64782,US,EX,CT,In-person,IN,L +2022,Data Scientist in office,Analysis,GBP,55852,100160,IN,SE,PT,In-person,US,S +2022,Machine Learning Engineer ,ML/AI,INR,67535,148296,MX,MI,CT,Hybrid,JP,S +2022,Data Analyst ,Data Science,JPY,37004,184175,CN,SE,PT,Remote,DE,S +2020,Machine Learning Engineer (Remote),ML/AI,EUR,188895,83077,CN,SE,PT,Hybrid,UK,M +2022,Data Engineer ,Data Science,INR,134913,58534,US,MI,PT,In-person,IN,M +2021,Data Engineer in office,ML/AI,JPY,84086,68636,JP,MI,FT,Hybrid,JP,M +2021,Statistician (Remote),Data Science,EUR,37131,129108,CN,EX,CT,Remote,US,M +2020,Data Engineer (Remote),,,55649,80486,CN,,CT,Hybrid,JP, +2021,Machine Learning Engineer in office,Data Science,GBP,165171,124096,DE,EN,FL,Remote,US,S +2021,Data Engineer ,,,-192643,63435,US,,CT,Remote,IN, +2022,Data Analyst ,Engineering,JPY,60580,63152,MX,SE,FL,In-person,CN,S +2021,Data Engineer in office,ML/AI,GBP,144163,139620,MX,EN,PT,Remote,US,S +2020,Statistician in office,Data Science,us dolars,124200,88952,JP,SE,FT,Hybrid,US,S +2022,Data Engineer in office,ML/AI,INR,111118,49638,JP,MI,PT,Hybrid,DE,L +2022,Machine Learning Engineer in office,Analysis,GBP,56469,147436,IN,MI,PT,In-person,CN,L +2020,Machine Learning Engineer ,Data Science,JPY,95179,46396,DE,EX,PT,Hybrid,IN,S +2022,Data Engineer ,ML/AI,INR,54236,187855,JP,SE,FL,In-person,JP,S +2022,Machine Learning Engineer in office,,,186182,166475,DE,,FT,Hybrid,CN, +2020,Machine Learning Engineer in office,ML/AI,us dolars,53430,53838,IN,EN,PT,Hybrid,UK,S +2022,Statistician (Remote),Data Science,JPY,74407,68919,MX,EN,FL,Remote,IN,L +2020,Data Analyst (Remote),Analysis,EUR,199020,107895,US,EN,PT,Remote,CN,M +2020,Statistician ,ML/AI,us dolars,113299,77995,CN,SE,FT,Remote,IN,L +2021,Data Scientist (Remote),Analysis,us dolars,144496,183686,CN,EX,PT,Hybrid,UK,M +2021,Statistician (Remote),Engineering,EUR,112565,105593,UK,EX,PT,In-person,JP,M +2022,Data Engineer (Remote),ML/AI,EUR,199252,161172,UK,EN,CT,In-person,MX,S +2022,Data Analyst ,ML/AI,us dolars,165724,124191,UK,EX,FL,In-person,DE,L +2020,Data Engineer (Remote),Engineering,INR,102370,100514,CN,MI,FT,Remote,CN,L +2022,Data Scientist in office,Engineering,GBP,132755,40988,DE,MI,FL,Hybrid,JP,S +2020,Data Analyst ,,,157845,149392,UK,,CT,Remote,UK, +2020,Machine Learning Engineer (Remote),Data Science,us dolars,168156,145137,US,MI,PT,Hybrid,JP,M +2022,Statistician ,Data Science,INR,145052,107229,JP,EX,FT,Hybrid,IN,L +2020,Data Engineer (Remote),ML/AI,EUR,163727,131471,DE,MI,FT,Hybrid,DE,S +2021,Data Scientist ,,,135737,68148,CN,,FL,Remote,US, +2022,Machine Learning Engineer in office,ML/AI,JPY,166344,174895,US,MI,PT,Hybrid,CN,L +2021,Statistician (Remote),Analysis,INR,161290,54696,MX,MI,CT,Remote,JP,M +2022,Machine Learning Engineer (Remote),Engineering,JPY,126428,41629,CN,MI,PT,Remote,US,M +2020,Statistician ,ML/AI,JPY,67471,164928,DE,SE,FL,Hybrid,DE,S +2022,Data Analyst in office,Engineering,us dolars,78762,61051,DE,SE,FT,Hybrid,MX,M +2021,Machine Learning Engineer (Remote),Data Science,INR,182587,63469,DE,MI,FT,Hybrid,US,M +2020,Machine Learning Engineer in office,Engineering,JPY,195379,102372,IN,MI,PT,Remote,JP,M +2022,Machine Learning Engineer (Remote),Analysis,INR,179058,73406,JP,EX,PT,Hybrid,UK,L +2022,Data Analyst in office,Analysis,GBP,114624,117754,UK,MI,PT,Hybrid,CN,S +2022,Data Scientist (Remote),Engineering,JPY,100600,65017,IN,EN,PT,In-person,IN,L +2021,Statistician ,Analysis,JPY,142092,40705,JP,SE,CT,In-person,MX,L +2021,Machine Learning Engineer ,Analysis,INR,148336,180678,CN,MI,CT,In-person,IN,M +2022,Data Analyst in office,Data Science,GBP,84888,116911,UK,SE,CT,Hybrid,CN,S +2020,Data Scientist (Remote),,,172675,122469,MX,,CT,Remote,US, +2020,Statistician (Remote),Analysis,us dolars,98024,103654,IN,EN,FL,In-person,IN,S +2021,Data Analyst in office,ML/AI,INR,120728,196391,IN,MI,FT,Remote,CN,M +2020,Statistician (Remote),Engineering,INR,58897,122185,US,SE,FT,In-person,CN,S +2021,Machine Learning Engineer ,Engineering,JPY,179874,75318,MX,SE,FL,In-person,IN,S +2022,Data Scientist (Remote),Analysis,GBP,177483,163286,MX,SE,FL,Remote,UK,M +2021,Data Analyst ,Engineering,JPY,90399,104070,IN,EX,CT,In-person,US,M +2021,Data Scientist in office,Data Science,EUR,90692,79869,DE,SE,PT,Remote,UK,L +2022,Machine Learning Engineer (Remote),Analysis,JPY,173842,196300,CN,MI,FT,Hybrid,UK,L +2020,Data Scientist in office,Analysis,EUR,103513,33255,MX,EN,FL,Hybrid,DE,S +2021,Data Scientist ,,,-198501,150478,IN,,PT,Remote,US, +2021,Data Engineer in office,Engineering,INR,155041,57841,DE,MI,CT,Remote,MX,M +2022,Data Scientist in office,Engineering,INR,181409,35334,JP,EX,FL,Hybrid,UK,L +2020,Statistician (Remote),Analysis,GBP,122901,135134,JP,MI,FT,Remote,JP,M +2021,Data Analyst in office,ML/AI,JPY,185579,70522,MX,SE,FT,Hybrid,IN,S +2022,Data Engineer in office,Engineering,us dolars,89596,60697,DE,EX,FT,Hybrid,US,S +2021,Data Analyst (Remote),Engineering,EUR,100509,171794,US,MI,FL,Remote,DE,S +2022,Data Analyst in office,Analysis,GBP,38436,131936,US,EX,FT,In-person,UK,L +2020,Machine Learning Engineer ,ML/AI,us dolars,40086,153935,JP,EN,CT,Remote,JP,S +2020,Machine Learning Engineer (Remote),,,121054,46029,CN,,FT,Hybrid,IN, +2020,Data Engineer ,Engineering,EUR,180923,95550,IN,MI,CT,In-person,IN,L +2020,Machine Learning Engineer (Remote),Analysis,EUR,69732,169280,MX,EN,FT,In-person,MX,S +2021,Machine Learning Engineer in office,Analysis,INR,175914,105507,MX,EX,CT,Hybrid,JP,L +2021,Machine Learning Engineer ,Analysis,JPY,158928,118719,JP,EN,FL,In-person,US,L +2020,Data Analyst ,ML/AI,GBP,151755,118499,JP,EX,CT,In-person,IN,S +2020,Data Engineer ,Analysis,JPY,31745,131383,DE,MI,FL,Remote,IN,S +2020,Data Analyst in office,Engineering,GBP,42697,169199,US,EX,PT,Hybrid,IN,L +2021,Statistician ,Analysis,us dolars,33879,45646,CN,EX,CT,In-person,CN,L +2020,Data Analyst ,ML/AI,EUR,179571,52713,DE,SE,FL,Hybrid,UK,M +2020,Statistician in office,Data Science,EUR,196107,62267,JP,SE,PT,Remote,UK,S +2020,Data Scientist in office,,,-179723,33864,UK,,FT,Remote,IN, +2022,Data Scientist in office,Analysis,us dolars,105224,106197,IN,EN,PT,Remote,DE,L +2020,Statistician ,Data Science,GBP,143369,193631,JP,EN,CT,In-person,CN,M +2022,Statistician ,Analysis,us dolars,106524,147201,DE,SE,PT,Remote,IN,L +2022,Data Analyst ,ML/AI,GBP,119006,102246,UK,MI,FT,Hybrid,US,M +2020,Statistician (Remote),Data Science,JPY,67249,192434,UK,MI,PT,Remote,MX,L +2022,Data Engineer ,,,-184921,62380,JP,,CT,In-person,MX, +2020,Data Scientist ,Analysis,EUR,59076,71284,CN,EN,CT,Remote,CN,L +2021,Data Scientist (Remote),Analysis,EUR,194196,148178,US,EX,FL,In-person,DE,S +2021,Statistician (Remote),ML/AI,JPY,176859,153556,UK,EN,FT,Hybrid,US,L +2021,Machine Learning Engineer ,Analysis,JPY,83462,85277,MX,SE,FT,Remote,JP,S +2021,Machine Learning Engineer (Remote),Data Science,INR,115984,45316,IN,EX,PT,Remote,JP,L +2022,Statistician ,Engineering,GBP,101035,185535,DE,MI,FT,Hybrid,UK,M +2020,Data Engineer in office,Engineering,GBP,33841,165960,DE,EN,CT,Hybrid,CN,L +2020,Machine Learning Engineer in office,ML/AI,INR,74890,41325,DE,EN,PT,In-person,UK,L +2020,Statistician in office,Analysis,EUR,157727,180160,MX,SE,FL,Remote,UK,M +2021,Data Engineer in office,ML/AI,GBP,55402,104922,JP,MI,PT,Remote,CN,L +2021,Data Engineer (Remote),Engineering,GBP,141713,143949,DE,EN,PT,Remote,MX,L +2020,Data Analyst ,Engineering,EUR,135363,160856,MX,EN,FL,Remote,JP,L +2021,Data Engineer (Remote),,,127807,134564,DE,,PT,Hybrid,CN, +2020,Machine Learning Engineer in office,Data Science,us dolars,53237,106803,IN,EN,FT,Remote,US,L +2020,Machine Learning Engineer in office,Analysis,INR,161625,45419,MX,EX,PT,Remote,DE,S +2020,Statistician ,Engineering,JPY,174932,75854,US,EN,PT,Remote,UK,S +2020,Statistician (Remote),Data Science,GBP,120439,163976,CN,MI,PT,In-person,MX,S +2020,Data Engineer in office,ML/AI,GBP,37045,139796,JP,SE,CT,In-person,JP,S +2020,Data Scientist (Remote),Engineering,INR,104916,129427,JP,MI,CT,In-person,UK,M +2020,Data Analyst ,ML/AI,INR,86435,110535,DE,SE,FT,Hybrid,MX,L +2021,Data Scientist ,,,128453,118855,IN,,FL,Hybrid,IN, +2020,Data Engineer (Remote),ML/AI,EUR,62261,181772,UK,MI,CT,Hybrid,DE,L +2020,Data Engineer ,Engineering,EUR,32853,57633,MX,EX,CT,Remote,US,L +2021,Data Scientist (Remote),Analysis,JPY,105664,146958,DE,SE,FT,Remote,UK,M +2021,Data Analyst (Remote),ML/AI,GBP,140884,54055,MX,SE,FT,Hybrid,IN,L +2021,Data Scientist (Remote),Engineering,GBP,78022,179714,DE,EN,FL,In-person,IN,S +2020,Statistician in office,Engineering,GBP,163808,164718,JP,SE,PT,Remote,MX,S +2022,Machine Learning Engineer in office,Data Science,GBP,63724,174245,JP,SE,PT,In-person,DE,M +2022,Statistician (Remote),Engineering,INR,41440,37025,DE,SE,FL,Remote,JP,S +2021,Machine Learning Engineer ,,,-100716,42549,JP,,FL,Remote,JP, +2022,Data Engineer ,Analysis,GBP,191356,44853,IN,MI,FL,In-person,UK,M +2021,Data Analyst in office,ML/AI,us dolars,136911,91156,UK,EN,FT,Hybrid,UK,M +2020,Data Scientist (Remote),ML/AI,EUR,172718,172398,UK,EX,PT,In-person,JP,S +2022,Data Analyst in office,ML/AI,JPY,115694,164535,MX,SE,FL,Hybrid,US,M +2020,Data Scientist (Remote),ML/AI,EUR,175414,57163,UK,SE,FL,Hybrid,US,M +2022,Statistician ,Analysis,GBP,163007,128136,MX,MI,PT,Remote,IN,S +2020,Statistician ,,,-146189,153296,DE,,PT,Remote,DE, +2022,Data Scientist in office,ML/AI,INR,124203,44075,CN,MI,FT,Remote,US,M +2020,Data Analyst ,Data Science,us dolars,129039,124245,DE,SE,CT,Hybrid,UK,L +2020,Data Scientist (Remote),Engineering,GBP,32838,73315,DE,SE,CT,Hybrid,MX,L +2022,Data Engineer ,Engineering,INR,196402,133245,IN,EN,FT,In-person,US,S +2020,Statistician ,ML/AI,us dolars,132210,46010,UK,EN,FT,Remote,DE,S +2020,Data Engineer in office,Engineering,INR,133140,136548,JP,EX,PT,Remote,UK,L +2020,Statistician (Remote),Data Science,EUR,130166,30605,JP,MI,FT,Hybrid,DE,M +2022,Statistician in office,Data Science,GBP,66994,197517,US,EX,FT,Remote,JP,L +2022,Machine Learning Engineer in office,Engineering,EUR,60384,67315,US,EN,FL,Hybrid,DE,L +2020,Data Engineer ,ML/AI,JPY,75378,38652,MX,MI,FT,In-person,DE,S +2020,Data Engineer (Remote),,,-137318,193301,CN,,FT,In-person,DE, +2022,Machine Learning Engineer (Remote),Data Science,EUR,193715,191602,MX,MI,FL,Remote,UK,L +2022,Data Analyst in office,Analysis,GBP,177998,150179,JP,SE,PT,In-person,DE,M +2020,Data Engineer in office,ML/AI,us dolars,68977,123439,UK,EX,PT,Remote,DE,S +2020,Data Scientist ,Analysis,GBP,53652,110266,MX,EX,FT,Remote,MX,L +2020,Machine Learning Engineer (Remote),Engineering,GBP,40270,198996,DE,MI,FT,Hybrid,MX,S +2021,Data Engineer (Remote),Engineering,us dolars,112804,68541,JP,EX,CT,Hybrid,CN,L +2022,Data Analyst ,Analysis,EUR,66417,94658,CN,EN,FL,Remote,CN,M +2021,Data Engineer in office,ML/AI,GBP,157390,86327,CN,EX,CT,In-person,MX,S +2022,Statistician (Remote),Data Science,INR,86042,123434,JP,MI,FT,In-person,IN,M +2022,Data Scientist ,Engineering,GBP,93253,73654,US,EX,CT,Remote,UK,L +2022,Machine Learning Engineer in office,ML/AI,EUR,82723,45930,UK,EX,CT,Remote,CN,S +2022,Statistician ,ML/AI,us dolars,181389,160682,JP,EN,PT,In-person,DE,M +2022,Data Analyst (Remote),Engineering,EUR,197506,164590,DE,SE,FL,In-person,US,M +2022,Statistician in office,Engineering,JPY,105449,192054,DE,EN,PT,Hybrid,DE,L +2022,Statistician ,ML/AI,GBP,111141,36775,IN,EX,PT,Hybrid,US,S +2021,Data Analyst ,Data Science,GBP,30557,185062,DE,EX,CT,In-person,MX,M +2020,Statistician ,Analysis,us dolars,137776,35378,JP,SE,FL,Hybrid,MX,S +2020,Machine Learning Engineer (Remote),Engineering,GBP,167112,76402,JP,SE,FT,Hybrid,JP,S +2021,Data Engineer (Remote),Analysis,INR,76652,109712,DE,EN,FL,Remote,JP,S +2021,Statistician (Remote),,,146048,55060,US,,PT,Hybrid,MX, +2021,Machine Learning Engineer ,Analysis,EUR,90941,157067,UK,EN,CT,Hybrid,MX,L +2021,Data Engineer (Remote),Data Science,us dolars,117340,158334,CN,MI,FT,Remote,UK,M +2022,Data Engineer ,ML/AI,JPY,104828,148684,JP,EX,PT,In-person,UK,S +2020,Statistician ,Data Science,EUR,187182,123104,DE,SE,CT,Hybrid,MX,M +2022,Machine Learning Engineer ,ML/AI,us dolars,166421,52765,CN,MI,PT,Hybrid,JP,M +2020,Statistician in office,Data Science,us dolars,191446,184268,DE,MI,CT,In-person,UK,M +2020,Data Analyst ,ML/AI,EUR,114545,146677,JP,EN,FL,Hybrid,MX,L +2021,Data Engineer (Remote),Data Science,EUR,140623,176540,IN,EN,PT,In-person,US,S +2022,Statistician ,ML/AI,GBP,72591,124385,UK,SE,FL,Remote,US,S +2021,Data Engineer (Remote),Data Science,JPY,161129,132649,JP,EN,FL,In-person,IN,M +2022,Machine Learning Engineer in office,ML/AI,INR,154007,38174,CN,MI,CT,In-person,UK,M +2020,Data Scientist in office,Data Science,GBP,123829,75820,DE,MI,FT,In-person,UK,L +2021,Statistician ,Engineering,us dolars,94578,156518,IN,EX,FL,Remote,IN,L +2021,Statistician (Remote),Analysis,JPY,138497,180170,MX,MI,PT,In-person,DE,M +2020,Data Engineer in office,ML/AI,JPY,180193,102582,JP,SE,PT,In-person,US,S +2020,Machine Learning Engineer in office,Data Science,EUR,35493,165258,UK,EX,CT,Remote,DE,L +2020,Data Analyst in office,Engineering,JPY,132181,46722,IN,EN,FL,Hybrid,CN,S +2021,Machine Learning Engineer (Remote),ML/AI,JPY,97818,138157,CN,EX,FT,Hybrid,IN,L +2022,Statistician ,ML/AI,us dolars,150196,101504,DE,MI,FT,In-person,CN,S +2021,Data Analyst ,ML/AI,GBP,31431,140760,US,SE,PT,Remote,MX,M +2022,Machine Learning Engineer in office,Analysis,JPY,130079,70452,MX,EN,CT,Remote,CN,L +2021,Data Scientist ,Data Science,EUR,172423,58270,MX,EN,FL,In-person,UK,M +2021,Data Engineer in office,Data Science,GBP,193555,71129,UK,MI,PT,In-person,DE,L +2020,Machine Learning Engineer (Remote),ML/AI,EUR,61195,36387,IN,SE,CT,Hybrid,UK,M +2022,Machine Learning Engineer ,ML/AI,JPY,183807,54394,JP,MI,FT,Hybrid,MX,L +2021,Data Scientist (Remote),,,45203,157113,JP,,PT,In-person,IN, +2021,Statistician ,,,-33974,106827,IN,,CT,Remote,JP, +2020,Data Engineer (Remote),ML/AI,us dolars,132769,141110,JP,MI,FT,In-person,UK,S +2020,Machine Learning Engineer (Remote),Analysis,GBP,115222,191165,MX,SE,CT,Remote,CN,S +2022,Data Analyst ,Data Science,EUR,42636,65241,MX,SE,PT,Hybrid,MX,L +2021,Machine Learning Engineer in office,,,65070,58337,MX,,FL,In-person,CN, +2022,Data Engineer in office,ML/AI,INR,59123,130992,IN,MI,CT,Remote,DE,M +2021,Machine Learning Engineer (Remote),Engineering,EUR,150973,34804,UK,EX,FL,Hybrid,DE,L +2022,Data Scientist (Remote),ML/AI,JPY,192884,195130,MX,EN,PT,In-person,IN,S +2020,Machine Learning Engineer in office,ML/AI,EUR,189832,87450,JP,EN,FT,In-person,DE,S +2021,Machine Learning Engineer ,ML/AI,INR,34966,89529,UK,SE,CT,Hybrid,US,S +2022,Data Analyst ,ML/AI,EUR,148414,152766,DE,EX,FT,In-person,UK,S +2020,Data Scientist (Remote),ML/AI,us dolars,113962,61334,DE,SE,FL,Hybrid,MX,M +2020,Data Scientist ,Data Science,EUR,109698,93452,DE,EX,FL,Remote,MX,L +2022,Machine Learning Engineer (Remote),,,-177130,167583,DE,,FT,In-person,CN, +2021,Data Analyst ,Engineering,INR,71482,137018,JP,EN,PT,Hybrid,US,L +2021,Machine Learning Engineer (Remote),ML/AI,EUR,32998,69440,IN,EX,FL,Hybrid,IN,M +2020,Machine Learning Engineer ,Engineering,INR,152659,93118,JP,MI,PT,Remote,CN,S +2021,Data Engineer (Remote),Data Science,us dolars,91265,115263,CN,MI,FT,In-person,US,S +2021,Data Engineer in office,Analysis,GBP,96445,156775,JP,EN,PT,Hybrid,MX,M +2021,Data Analyst in office,ML/AI,JPY,141033,79217,UK,EX,FL,Hybrid,US,M +2020,Statistician in office,Data Science,EUR,195720,192211,IN,MI,FT,Hybrid,MX,L +2022,Data Engineer in office,Data Science,us dolars,108033,98517,MX,MI,PT,In-person,CN,L +2021,Statistician (Remote),Analysis,INR,114480,173857,US,MI,PT,In-person,UK,M +2020,Data Scientist ,ML/AI,INR,168599,84740,US,EN,CT,Remote,UK,M +2020,Data Engineer (Remote),,,134000,131119,MX,,FL,Remote,JP, +2022,Data Engineer (Remote),Analysis,EUR,164144,43950,IN,MI,CT,Remote,US,S +2021,Data Analyst (Remote),Engineering,JPY,173090,102209,US,MI,PT,In-person,UK,L +2021,Statistician ,Engineering,EUR,59652,97278,IN,SE,FL,Hybrid,MX,M +2022,Data Engineer (Remote),Analysis,GBP,34476,68488,UK,MI,FT,In-person,US,M +2022,Data Engineer in office,Engineering,EUR,125768,66277,UK,EX,FT,In-person,US,S +2020,Data Analyst in office,Data Science,GBP,188554,33534,JP,MI,FT,In-person,IN,M +2020,Data Analyst (Remote),Analysis,INR,46219,110221,US,SE,PT,Remote,IN,L +2022,Statistician in office,ML/AI,GBP,60448,101121,MX,EN,PT,Hybrid,CN,S +2021,Data Scientist in office,ML/AI,JPY,186192,104090,IN,EN,FT,In-person,US,M +2020,Data Scientist ,Data Science,us dolars,36855,139777,UK,EX,CT,Remote,IN,L +2020,Machine Learning Engineer (Remote),ML/AI,GBP,162156,31634,JP,MI,CT,In-person,MX,L +2021,Data Engineer (Remote),ML/AI,EUR,128856,46908,US,MI,FL,Hybrid,CN,S +2020,Statistician in office,Analysis,GBP,183016,182382,US,SE,FL,Remote,UK,L +2021,Data Engineer (Remote),Data Science,INR,194993,110653,US,SE,FT,In-person,US,S +2021,Statistician (Remote),Analysis,GBP,91282,97258,UK,EX,PT,Remote,IN,L +2021,Statistician in office,Data Science,JPY,117393,99400,UK,EX,PT,Hybrid,UK,M +2022,Statistician in office,Analysis,GBP,159822,146107,US,MI,FL,Hybrid,US,S +2022,Data Engineer (Remote),Analysis,JPY,48070,159468,UK,MI,FT,Remote,CN,L +2022,Data Analyst ,Engineering,EUR,86690,142436,US,EX,FL,In-person,US,S +2021,Data Engineer in office,ML/AI,INR,91134,61131,DE,EN,CT,Hybrid,IN,L +2021,Statistician (Remote),Data Science,us dolars,117755,181458,UK,EN,FT,Hybrid,UK,S +2022,Machine Learning Engineer in office,ML/AI,EUR,136993,91760,IN,EN,FT,In-person,US,M +2020,Data Scientist (Remote),,,-61489,97370,UK,,FT,Remote,US, +2021,Statistician (Remote),Data Science,us dolars,53178,159841,US,EX,CT,Remote,MX,S +2020,Machine Learning Engineer ,Engineering,GBP,109019,84470,IN,SE,FT,In-person,CN,M +2020,Data Analyst in office,,,-87956,149688,JP,,FL,Hybrid,JP, +2021,Statistician ,,,-92778,83283,IN,,CT,Hybrid,US, +2021,Machine Learning Engineer in office,Engineering,INR,194645,160263,IN,EN,PT,In-person,JP,S +2020,Statistician ,Engineering,EUR,194760,163425,UK,MI,FL,In-person,JP,M +2020,Data Engineer in office,Analysis,JPY,141466,43878,CN,EN,FL,Remote,UK,M +2022,Machine Learning Engineer ,,,148292,147743,IN,,FL,Remote,DE, +2022,Data Engineer ,Engineering,EUR,129747,106668,IN,MI,CT,In-person,CN,S +2021,Data Engineer in office,ML/AI,GBP,76475,38203,MX,MI,FL,Hybrid,JP,M +2022,Machine Learning Engineer ,Analysis,us dolars,80697,40322,US,EN,CT,Remote,UK,S +2022,Data Scientist ,Data Science,JPY,195050,106831,UK,EN,FT,In-person,CN,L +2022,Machine Learning Engineer in office,Engineering,EUR,190749,65925,US,MI,PT,Hybrid,MX,L +2022,Data Scientist in office,ML/AI,EUR,40272,52247,UK,SE,FT,Remote,IN,L +2020,Statistician (Remote),Analysis,INR,167284,137930,JP,EX,FL,In-person,JP,L +2021,Statistician in office,,,51071,178412,CN,,CT,In-person,DE, +2022,Machine Learning Engineer (Remote),Engineering,EUR,138644,149496,IN,EX,CT,Hybrid,IN,M +2020,Statistician ,,,-125516,183594,MX,,FT,Hybrid,CN, +2020,Data Analyst in office,Engineering,JPY,178369,107631,UK,EX,FL,In-person,JP,S +2020,Data Engineer (Remote),ML/AI,us dolars,189697,76335,IN,MI,PT,Hybrid,MX,M +2022,Data Engineer in office,Analysis,GBP,58831,118961,IN,EX,CT,In-person,JP,M +2022,Data Scientist (Remote),Data Science,JPY,148313,64723,DE,SE,CT,Hybrid,DE,S +2021,Statistician (Remote),ML/AI,us dolars,153950,34991,US,SE,FL,Hybrid,US,S +2022,Data Scientist in office,Engineering,EUR,92909,197905,CN,EN,CT,Remote,DE,S +2022,Data Engineer ,,,59367,177139,MX,,FL,Remote,MX, +2020,Data Engineer ,Engineering,us dolars,50121,43763,UK,EN,FL,Hybrid,UK,M +2021,Statistician (Remote),Data Science,us dolars,65547,74863,JP,EN,PT,In-person,UK,M +2022,Data Analyst (Remote),Data Science,us dolars,93642,47408,CN,MI,FL,Hybrid,MX,M +2022,Data Analyst ,Data Science,JPY,54914,186248,DE,SE,FT,Remote,MX,S +2020,Statistician in office,Data Science,GBP,146664,196169,US,MI,PT,In-person,MX,M +2020,Statistician in office,Data Science,us dolars,178250,144177,JP,SE,FL,Hybrid,DE,L +2022,Data Scientist ,Engineering,INR,97258,196866,JP,MI,FL,Hybrid,DE,M +2021,Statistician ,Data Science,EUR,90563,119767,IN,SE,PT,Hybrid,DE,M +2021,Data Analyst ,Data Science,EUR,92607,31011,US,EN,CT,Hybrid,DE,S +2020,Statistician (Remote),,,95638,184499,DE,,PT,Remote,MX, +2020,Data Scientist ,Data Science,EUR,122971,68392,UK,EN,CT,Remote,DE,M +2022,Data Scientist ,Analysis,EUR,174334,88990,UK,SE,PT,Remote,JP,S +2020,Data Scientist ,Analysis,us dolars,168525,176301,DE,MI,PT,Remote,CN,L +2022,Data Scientist ,Analysis,GBP,146720,108780,IN,EX,FT,In-person,CN,L +2021,Machine Learning Engineer in office,Engineering,INR,107760,186374,IN,SE,PT,In-person,IN,S +2021,Statistician in office,Engineering,JPY,167244,53536,JP,MI,FT,In-person,UK,S +2022,Data Engineer ,,,106788,117746,US,,FL,Hybrid,UK, +2020,Statistician (Remote),ML/AI,JPY,47918,35585,JP,MI,CT,In-person,CN,S +2021,Machine Learning Engineer (Remote),,,37197,87210,MX,,CT,Remote,MX, +2020,Data Scientist in office,,,-127127,166528,MX,,FT,Remote,MX, +2021,Machine Learning Engineer (Remote),,,-174749,152365,UK,,CT,Hybrid,CN, +2022,Data Analyst (Remote),ML/AI,EUR,172111,198361,DE,MI,CT,In-person,IN,S +2022,Data Analyst in office,Engineering,us dolars,57785,39775,US,SE,PT,Hybrid,DE,S +2022,Statistician ,Data Science,EUR,34570,44099,DE,EN,FT,Hybrid,CN,L +2021,Statistician ,Data Science,GBP,102242,132341,US,EN,CT,In-person,MX,L +2020,Data Engineer in office,Engineering,JPY,172727,71842,CN,SE,FL,Hybrid,CN,L +2020,Data Engineer ,ML/AI,INR,77907,87163,UK,MI,FT,In-person,IN,S +2020,Data Analyst ,Engineering,GBP,39449,152863,UK,MI,PT,In-person,DE,S +2021,Data Scientist in office,ML/AI,EUR,54630,125608,CN,MI,FL,Hybrid,UK,M +2021,Machine Learning Engineer in office,Analysis,us dolars,104658,170931,US,SE,CT,Remote,MX,M +2021,Data Engineer in office,Engineering,INR,76371,139478,IN,MI,CT,In-person,MX,M +2021,Data Engineer (Remote),Engineering,JPY,172063,85700,US,MI,FT,Remote,CN,M +2021,Data Scientist in office,ML/AI,GBP,54887,32539,UK,EX,CT,Remote,US,S +2020,Data Scientist in office,ML/AI,JPY,43859,138609,MX,MI,FT,In-person,UK,L +2021,Statistician in office,Engineering,EUR,184712,108735,DE,EN,CT,Remote,UK,S +2021,Machine Learning Engineer in office,Data Science,JPY,78339,194230,JP,MI,FL,Hybrid,US,S +2020,Data Scientist ,Data Science,us dolars,32512,87824,DE,SE,PT,Hybrid,IN,S +2021,Data Engineer in office,Data Science,GBP,110982,42281,UK,SE,FL,Remote,JP,S +2020,Data Engineer in office,Analysis,GBP,51912,176192,DE,MI,PT,Hybrid,DE,L +2020,Data Analyst (Remote),Analysis,us dolars,150639,39946,IN,SE,FT,In-person,DE,L +2022,Data Scientist (Remote),ML/AI,JPY,196587,154128,IN,SE,CT,In-person,UK,M +2022,Statistician ,Analysis,us dolars,176488,154016,MX,MI,FL,Remote,US,S +2022,Machine Learning Engineer in office,Data Science,INR,145781,106427,US,EX,CT,Hybrid,MX,M +2022,Statistician in office,Engineering,us dolars,132067,56111,DE,EX,FT,Remote,UK,L +2021,Data Engineer in office,Analysis,JPY,42227,63290,DE,EX,PT,Hybrid,UK,L +2022,Statistician (Remote),Analysis,us dolars,174103,195534,UK,EX,FL,In-person,MX,M +2020,Data Engineer ,Data Science,EUR,63000,34837,US,EN,PT,Hybrid,MX,L +2021,Data Engineer (Remote),Analysis,us dolars,81253,41801,US,MI,PT,Hybrid,CN,L +2022,Data Engineer in office,ML/AI,us dolars,140848,159342,DE,SE,FT,Remote,IN,S +2020,Data Engineer (Remote),,,97564,184782,JP,,PT,In-person,DE, +2021,Data Engineer in office,Data Science,INR,150921,127157,DE,MI,FT,Hybrid,JP,L +2021,Data Analyst in office,ML/AI,INR,125969,70916,DE,SE,PT,In-person,US,L +2022,Statistician in office,Data Science,JPY,152614,174137,DE,EN,PT,Hybrid,JP,M +2021,Data Analyst ,ML/AI,JPY,179385,92546,IN,EX,FL,In-person,US,M +2020,Data Analyst (Remote),Engineering,JPY,105186,75474,CN,MI,FT,Hybrid,DE,L +2021,Data Scientist in office,,,82492,123766,US,,CT,In-person,IN, +2020,Data Scientist in office,ML/AI,GBP,60364,66388,CN,EN,CT,Hybrid,JP,S +2021,Data Scientist ,ML/AI,us dolars,179433,106167,IN,SE,CT,In-person,US,M +2022,Machine Learning Engineer ,ML/AI,JPY,97949,125364,JP,EN,FL,Hybrid,UK,S +2020,Data Scientist in office,,,-136330,104667,UK,,FL,Hybrid,MX, +2021,Statistician in office,,,-192142,109843,MX,,PT,In-person,DE, +2021,Data Analyst in office,ML/AI,INR,133722,33709,JP,MI,PT,Remote,IN,M +2021,Statistician in office,Engineering,JPY,183481,78754,US,EX,CT,Hybrid,MX,S +2020,Data Scientist ,,,59854,116257,UK,,PT,Hybrid,CN, +2020,Machine Learning Engineer (Remote),Analysis,JPY,126742,35094,CN,SE,PT,Remote,UK,L +2020,Machine Learning Engineer ,Engineering,us dolars,149625,170487,JP,EX,FL,Hybrid,IN,M +2022,Data Analyst ,,,59655,37472,US,,CT,In-person,US, +2022,Statistician (Remote),,,-171024,66131,MX,,FT,Remote,UK, +2020,Data Engineer in office,Data Science,INR,197437,114943,MX,EN,CT,Hybrid,CN,L +2021,Statistician in office,Data Science,us dolars,96156,113737,JP,SE,FL,In-person,CN,M +2022,Data Scientist (Remote),Analysis,EUR,151232,189020,UK,MI,CT,In-person,IN,M +2020,Data Engineer ,ML/AI,GBP,45455,53115,UK,MI,FT,Remote,DE,M +2021,Machine Learning Engineer in office,ML/AI,GBP,162046,57961,JP,EN,PT,Remote,JP,L +2022,Data Analyst (Remote),Engineering,GBP,42679,77083,IN,EN,CT,Remote,CN,M +2021,Data Analyst (Remote),ML/AI,us dolars,57429,77182,JP,EX,FL,In-person,CN,S +2021,Machine Learning Engineer (Remote),Analysis,EUR,48073,157987,CN,SE,FL,Hybrid,MX,S +2021,Data Scientist in office,Engineering,JPY,100207,32017,JP,EN,CT,In-person,JP,M +2021,Machine Learning Engineer (Remote),Engineering,EUR,60365,165295,JP,EN,PT,In-person,UK,L +2022,Data Scientist ,Engineering,EUR,104453,91852,IN,MI,PT,Remote,DE,M +2022,Data Engineer ,ML/AI,EUR,136657,80509,DE,MI,FL,Hybrid,DE,S +2022,Machine Learning Engineer (Remote),,,37784,184147,UK,,FL,In-person,MX, +2020,Data Scientist (Remote),ML/AI,us dolars,142529,36531,CN,EN,FT,Remote,IN,M +2022,Data Engineer (Remote),Engineering,us dolars,160229,165738,US,SE,PT,Remote,UK,M +2021,Machine Learning Engineer ,Engineering,EUR,150913,74023,UK,EX,CT,Hybrid,MX,L +2022,Data Analyst in office,Data Science,us dolars,173363,196308,UK,SE,FL,Hybrid,DE,L +2021,Machine Learning Engineer ,Data Science,GBP,56154,70059,DE,EN,FL,Remote,IN,S +2020,Statistician (Remote),ML/AI,us dolars,55650,70023,UK,EX,FL,Hybrid,DE,M +2021,Machine Learning Engineer in office,Engineering,INR,125830,34236,UK,SE,FL,Hybrid,UK,S +2021,Statistician in office,ML/AI,us dolars,66201,197696,IN,EN,PT,In-person,DE,S +2021,Data Engineer (Remote),ML/AI,us dolars,102920,193890,IN,SE,FL,Hybrid,MX,L +2020,Machine Learning Engineer (Remote),Data Science,us dolars,192806,191172,IN,EN,PT,Remote,DE,M +2022,Data Engineer ,Analysis,us dolars,111451,135109,IN,MI,FT,Hybrid,DE,S +2022,Data Engineer ,ML/AI,INR,142169,156682,IN,SE,FT,In-person,JP,S +2020,Data Scientist ,Analysis,JPY,129978,54941,CN,MI,CT,Hybrid,US,L +2021,Data Engineer (Remote),Analysis,us dolars,72568,123067,US,MI,FL,In-person,UK,M +2022,Data Engineer in office,Engineering,GBP,186865,131349,DE,EX,CT,Hybrid,JP,M +2020,Machine Learning Engineer ,Engineering,INR,82204,106629,JP,EX,PT,Hybrid,US,S +2022,Machine Learning Engineer (Remote),ML/AI,JPY,193061,194097,MX,SE,CT,Remote,CN,L +2020,Data Analyst in office,Data Science,us dolars,46767,41651,CN,EN,CT,Remote,DE,M +2021,Data Scientist (Remote),Data Science,JPY,68652,120380,IN,EX,FL,Hybrid,DE,M +2022,Data Engineer (Remote),ML/AI,GBP,114244,79823,DE,EX,PT,Hybrid,MX,S +2020,Data Scientist (Remote),ML/AI,INR,174455,174661,JP,MI,PT,In-person,JP,M +2022,Statistician ,Data Science,INR,131733,69768,UK,MI,FL,In-person,IN,M +2022,Data Engineer (Remote),Analysis,JPY,90089,115558,CN,EN,PT,Remote,UK,M +2022,Data Scientist (Remote),ML/AI,us dolars,56440,142784,UK,EX,FT,Hybrid,US,M +2022,Data Analyst (Remote),Analysis,EUR,82443,134389,DE,EX,FL,Hybrid,DE,S +2020,Data Analyst ,ML/AI,INR,86325,161306,US,EN,FL,In-person,UK,M +2021,Data Engineer (Remote),ML/AI,EUR,85919,102370,US,EX,FL,Hybrid,DE,M +2020,Statistician (Remote),Analysis,INR,177683,176127,DE,SE,FT,Hybrid,DE,L +2020,Data Analyst ,Analysis,us dolars,183529,98743,MX,SE,PT,Hybrid,DE,S +2020,Data Analyst (Remote),Data Science,us dolars,171328,163472,MX,EN,FT,In-person,MX,M +2021,Statistician in office,ML/AI,INR,70533,117009,US,MI,FT,In-person,UK,L +2022,Data Scientist (Remote),,,129826,140866,MX,,FT,In-person,JP, +2022,Data Analyst (Remote),,,-128995,119471,US,,CT,Hybrid,UK, +2022,Machine Learning Engineer ,ML/AI,us dolars,189353,90598,UK,EX,PT,In-person,UK,L +2021,Data Analyst ,ML/AI,GBP,97275,55015,MX,EX,PT,Remote,CN,S +2022,Data Scientist ,ML/AI,us dolars,162597,94430,US,MI,FL,Remote,IN,M +2021,Data Scientist ,Analysis,GBP,177525,79185,US,MI,FL,In-person,MX,L +2022,Data Engineer in office,Engineering,us dolars,167323,92306,DE,SE,CT,In-person,IN,S +2022,Machine Learning Engineer (Remote),Engineering,us dolars,138744,49416,US,MI,FT,Hybrid,MX,L +2020,Data Scientist (Remote),Engineering,JPY,49507,108655,MX,EN,FL,In-person,JP,L +2021,Statistician in office,,,188978,103180,MX,,PT,In-person,IN, +2020,Machine Learning Engineer ,Analysis,us dolars,43193,80262,CN,EX,FL,Remote,MX,L +2020,Machine Learning Engineer (Remote),ML/AI,INR,127192,104189,IN,EX,FT,Remote,JP,M +2020,Statistician in office,Data Science,INR,94042,109952,IN,EX,CT,Remote,MX,M +2021,Data Analyst (Remote),Data Science,us dolars,89516,83662,DE,MI,FT,Remote,DE,L +2021,Statistician in office,Engineering,INR,191764,82191,IN,SE,FL,In-person,DE,L +2022,Statistician in office,ML/AI,us dolars,100490,173285,UK,MI,CT,Remote,UK,L +2020,Data Analyst (Remote),Data Science,JPY,63512,113176,CN,EN,CT,Hybrid,DE,L +2022,Data Analyst ,Data Science,EUR,171791,91353,CN,SE,FT,Hybrid,IN,S +2020,Data Analyst ,ML/AI,GBP,188721,131544,DE,MI,FL,In-person,US,M +2021,Data Analyst in office,Analysis,INR,42402,176874,MX,EX,FT,Hybrid,UK,L +2021,Data Analyst ,ML/AI,INR,132880,73671,US,EX,FL,Remote,JP,S +2021,Statistician (Remote),ML/AI,JPY,149764,73388,IN,EN,FL,Remote,DE,L +2020,Data Engineer in office,Analysis,INR,170288,195672,UK,EN,PT,Hybrid,UK,S +2021,Data Engineer (Remote),,,61050,113944,MX,,CT,In-person,UK, +2020,Data Scientist (Remote),Engineering,us dolars,125808,90690,DE,EX,FL,Remote,UK,L +2022,Data Engineer ,,,80093,166808,MX,,FT,Remote,DE, +2020,Data Engineer (Remote),Analysis,EUR,35050,77165,DE,EX,FT,Hybrid,JP,S +2022,Statistician in office,Data Science,EUR,76716,61247,US,EX,PT,In-person,UK,M +2020,Data Analyst in office,Analysis,us dolars,145455,149645,JP,EX,PT,In-person,UK,L +2022,Data Analyst (Remote),ML/AI,EUR,163510,58821,IN,MI,PT,Hybrid,UK,L +2021,Statistician (Remote),Analysis,EUR,138686,164285,UK,EX,CT,Remote,CN,M +2022,Data Engineer in office,Data Science,us dolars,77431,138659,DE,EN,PT,Hybrid,DE,M +2021,Statistician ,Data Science,JPY,46760,190567,MX,EN,CT,Hybrid,CN,M +2021,Data Scientist ,ML/AI,INR,177545,101744,IN,EN,PT,Hybrid,IN,S +2022,Data Analyst ,Engineering,GBP,73815,170716,MX,EN,CT,Remote,JP,S +2020,Machine Learning Engineer (Remote),,,-170329,167525,UK,,FL,Remote,UK, +2020,Data Scientist (Remote),Data Science,us dolars,117986,147441,CN,EX,PT,Hybrid,CN,L +2020,Data Scientist in office,Data Science,GBP,55634,142045,CN,EX,CT,In-person,UK,S +2020,Statistician in office,ML/AI,GBP,90403,41263,UK,EN,FL,Hybrid,CN,M +2020,Data Engineer in office,Data Science,EUR,76573,86480,CN,MI,PT,Remote,UK,S +2021,Data Analyst in office,Engineering,GBP,189720,156926,DE,SE,FL,In-person,MX,S +2020,Machine Learning Engineer ,ML/AI,INR,157099,193093,IN,SE,PT,In-person,DE,M +2021,Data Scientist (Remote),Engineering,INR,40296,148055,UK,SE,FT,Remote,IN,L +2021,Machine Learning Engineer (Remote),Data Science,INR,51959,179030,DE,MI,CT,Remote,UK,L +2021,Data Engineer ,Data Science,INR,44570,71128,IN,EX,FT,Hybrid,CN,S +2022,Data Engineer in office,Engineering,INR,65423,117498,IN,SE,CT,Remote,UK,L +2022,Machine Learning Engineer in office,ML/AI,EUR,110263,72563,DE,SE,FT,In-person,DE,L +2021,Data Analyst (Remote),ML/AI,us dolars,178971,47414,IN,EX,PT,Hybrid,JP,M +2022,Data Engineer in office,Engineering,GBP,196857,152452,JP,SE,FT,Hybrid,JP,M +2020,Machine Learning Engineer (Remote),Data Science,us dolars,142446,105462,UK,EX,PT,In-person,IN,M +2020,Data Scientist ,Analysis,GBP,86963,135209,UK,SE,CT,Remote,MX,L +2021,Machine Learning Engineer (Remote),Engineering,EUR,64341,67210,IN,EX,PT,Hybrid,JP,L +2020,Machine Learning Engineer ,Engineering,EUR,35597,176362,DE,EN,FT,In-person,UK,M +2021,Statistician in office,Engineering,JPY,171316,160768,US,MI,FL,In-person,DE,L +2021,Data Engineer (Remote),Data Science,JPY,164868,33667,CN,SE,CT,In-person,MX,M +2020,Data Analyst in office,ML/AI,EUR,137127,157710,IN,EX,FL,Remote,UK,S +2022,Data Analyst in office,Data Science,EUR,105589,47660,US,EN,FL,Remote,UK,S +2020,Statistician in office,Engineering,GBP,189600,102089,IN,EX,FL,Remote,IN,L +2020,Data Analyst (Remote),Data Science,EUR,179720,112462,US,SE,FL,Remote,JP,L +2021,Machine Learning Engineer in office,Data Science,us dolars,113967,165880,IN,SE,FL,In-person,JP,L +2021,Statistician (Remote),Engineering,GBP,161607,124148,DE,SE,FT,Hybrid,JP,L +2021,Data Scientist in office,Data Science,EUR,78469,189087,CN,SE,PT,In-person,CN,S +2021,Data Engineer ,,,74493,63351,MX,,PT,Hybrid,UK, +2022,Data Engineer (Remote),Data Science,GBP,75785,151359,MX,EN,FL,Hybrid,DE,S +2022,Data Engineer ,Data Science,INR,115017,104674,US,EX,FT,Hybrid,DE,M +2022,Machine Learning Engineer ,ML/AI,JPY,137771,66241,JP,EX,FL,Remote,UK,L +2021,Data Scientist (Remote),ML/AI,GBP,159026,162270,DE,SE,FL,In-person,US,M +2021,Statistician (Remote),,,191941,122983,CN,,CT,Hybrid,UK, +2021,Statistician (Remote),Engineering,INR,60192,132299,IN,EN,FT,In-person,MX,M +2022,Data Engineer in office,,,-109941,173185,US,,FL,Remote,CN, +2021,Data Scientist in office,Analysis,GBP,87544,132839,CN,MI,PT,Hybrid,MX,S +2020,Data Scientist ,Data Science,INR,165475,68639,UK,EN,CT,Remote,JP,L +2020,Data Scientist (Remote),Analysis,us dolars,197163,94036,DE,SE,FL,Remote,UK,L +2021,Data Analyst ,Analysis,INR,35017,115223,US,EX,FL,In-person,CN,M +2020,Data Analyst in office,ML/AI,JPY,78260,97983,DE,EN,FL,Hybrid,US,L +2020,Data Engineer ,Engineering,JPY,75938,156164,US,SE,FT,Remote,UK,S +2022,Data Scientist ,Data Science,EUR,115265,104944,MX,EX,FL,In-person,MX,M +2021,Data Scientist (Remote),Engineering,EUR,134120,152427,UK,EX,PT,Hybrid,JP,L +2021,Statistician (Remote),Analysis,JPY,198444,47674,JP,SE,CT,Hybrid,IN,L +2022,Statistician ,Analysis,JPY,131728,42413,UK,EN,FT,Remote,DE,M +2020,Data Engineer in office,Engineering,GBP,44628,84986,IN,SE,CT,Remote,US,S +2020,Data Scientist ,Engineering,JPY,153239,53071,DE,SE,PT,Remote,IN,M +2021,Data Engineer in office,,,-173573,104229,JP,,FL,Remote,DE, +2020,Statistician ,Engineering,JPY,148165,152116,DE,SE,FT,Hybrid,IN,L +2022,Statistician ,Engineering,EUR,191203,112306,CN,SE,FL,Remote,MX,L +2022,Data Analyst (Remote),,,-119102,158345,US,,FT,Remote,UK, +2021,Data Engineer ,Engineering,JPY,119360,97542,IN,SE,FL,Remote,UK,M +2022,Data Engineer in office,Analysis,EUR,149346,35213,IN,EN,PT,Hybrid,DE,L +2022,Data Scientist ,Engineering,INR,98348,93815,DE,MI,PT,In-person,DE,M +2021,Data Scientist ,Data Science,GBP,128348,197708,MX,SE,FL,In-person,UK,S +2022,Data Analyst in office,Analysis,EUR,122862,93948,IN,EN,PT,Hybrid,UK,M +2022,Machine Learning Engineer ,ML/AI,JPY,39402,105066,DE,MI,FL,In-person,CN,S +2022,Machine Learning Engineer ,Analysis,JPY,121861,77128,US,EN,FT,Hybrid,DE,M +2020,Machine Learning Engineer ,ML/AI,us dolars,156121,79504,US,EX,PT,Remote,DE,M +2021,Data Engineer ,Data Science,INR,137089,100500,DE,EX,FT,In-person,MX,M +2021,Data Engineer in office,Data Science,EUR,56000,82340,UK,MI,FL,Hybrid,CN,L +2021,Statistician in office,Analysis,INR,119795,159222,UK,MI,FT,Hybrid,DE,L +2020,Data Engineer in office,,,142885,64070,US,,CT,Remote,MX, +2020,Data Engineer in office,Analysis,GBP,35988,103285,JP,EX,FL,Hybrid,JP,L +2021,Data Engineer ,Analysis,INR,86999,153405,UK,EX,PT,In-person,MX,L +2020,Data Analyst in office,,,-143174,175948,DE,,PT,Remote,CN, +2021,Data Engineer ,,,90659,48262,US,,CT,Hybrid,JP, +2020,Data Scientist (Remote),Analysis,GBP,198862,132409,IN,MI,FL,Remote,UK,S +2022,Data Scientist ,Engineering,JPY,125343,185126,IN,SE,FL,Hybrid,JP,L +2022,Statistician ,Data Science,us dolars,183190,184123,MX,SE,FL,In-person,MX,L +2021,Data Analyst in office,,,152453,189457,UK,,FL,In-person,US, +2020,Data Scientist in office,Analysis,GBP,89938,65587,JP,EX,FT,Remote,UK,L +2020,Data Analyst in office,Engineering,us dolars,35149,158595,CN,MI,FL,Hybrid,US,M +2022,Data Analyst (Remote),Analysis,us dolars,68079,85131,UK,EX,FT,Remote,IN,L +2022,Statistician ,Analysis,GBP,163556,123019,JP,SE,FT,Remote,US,S +2020,Data Analyst (Remote),,,-143316,188725,UK,,PT,In-person,IN, +2020,Data Engineer ,Analysis,us dolars,78601,72018,IN,EX,FL,Remote,US,L +2020,Data Analyst ,Engineering,GBP,73809,147177,JP,EN,FT,Hybrid,MX,M +2020,Statistician (Remote),Analysis,INR,181863,115184,IN,SE,FL,In-person,MX,L +2020,Statistician (Remote),Analysis,JPY,187720,127292,MX,EN,CT,Hybrid,IN,M +2020,Statistician ,Analysis,us dolars,192162,74561,DE,EN,FT,Remote,IN,S +2021,Data Scientist (Remote),Data Science,INR,120636,146981,DE,MI,PT,In-person,UK,L +2020,Data Engineer in office,Engineering,us dolars,160366,171142,US,EN,FL,Hybrid,MX,M +2022,Data Scientist ,Data Science,EUR,131477,63779,IN,SE,PT,Hybrid,DE,S +2021,Machine Learning Engineer in office,Data Science,GBP,47857,177688,IN,EX,FT,Remote,DE,S +2020,Data Engineer (Remote),Engineering,us dolars,155305,125909,MX,EN,FT,Hybrid,UK,M +2022,Data Analyst in office,Data Science,GBP,83709,147715,US,EX,PT,Remote,IN,M +2021,Statistician (Remote),Data Science,us dolars,146839,130477,DE,MI,FL,Remote,DE,L +2022,Machine Learning Engineer in office,Data Science,EUR,153307,131688,DE,SE,FT,Remote,DE,S +2020,Data Engineer (Remote),Engineering,EUR,152850,147016,JP,SE,CT,Remote,US,S +2020,Data Scientist ,,,50948,161869,JP,,PT,In-person,JP, +2020,Statistician ,ML/AI,EUR,63782,174666,CN,SE,FT,Hybrid,UK,S +2020,Data Scientist ,ML/AI,GBP,112789,77754,MX,MI,FL,Hybrid,JP,M +2021,Data Engineer ,Engineering,EUR,135217,83639,DE,EX,FT,In-person,IN,L +2021,Data Engineer (Remote),ML/AI,us dolars,168721,42669,CN,SE,FL,Remote,US,M +2022,Machine Learning Engineer in office,Engineering,EUR,190074,159239,UK,MI,FL,Remote,DE,L +2020,Data Analyst ,Engineering,GBP,64723,114509,IN,MI,FT,Remote,CN,M +2022,Data Scientist (Remote),ML/AI,us dolars,104314,182157,JP,EN,CT,Remote,US,L +2021,Machine Learning Engineer (Remote),Data Science,INR,120312,58787,UK,SE,FL,In-person,UK,S +2020,Statistician ,Analysis,INR,41809,54051,JP,EX,PT,Hybrid,MX,M +2020,Data Analyst ,ML/AI,INR,169374,80615,US,EN,FL,Remote,IN,M +2021,Machine Learning Engineer (Remote),ML/AI,us dolars,38100,198711,IN,EX,FL,Remote,US,M +2021,Data Scientist in office,ML/AI,INR,107627,166361,CN,EN,CT,Remote,US,L +2021,Data Engineer (Remote),ML/AI,EUR,104635,149123,CN,MI,FL,Hybrid,US,M +2021,Statistician ,,,-85020,185816,JP,,FT,Hybrid,DE, +2021,Data Scientist ,Engineering,us dolars,35663,158814,DE,EN,CT,In-person,IN,S +2020,Data Analyst ,Analysis,us dolars,125440,47945,MX,EN,FL,Hybrid,DE,M +2021,Data Analyst in office,Analysis,JPY,77136,144135,CN,SE,FT,Hybrid,US,M +2020,Data Engineer in office,ML/AI,GBP,136602,185299,US,EN,FT,Remote,MX,M +2020,Data Engineer in office,ML/AI,JPY,66104,112494,US,MI,FL,Hybrid,DE,M +2021,Statistician (Remote),ML/AI,JPY,69137,171006,DE,EX,PT,Remote,DE,S +2021,Statistician (Remote),Analysis,JPY,163606,83168,US,SE,PT,In-person,UK,M +2020,Data Engineer in office,ML/AI,GBP,97762,106086,MX,MI,FL,Remote,JP,M +2021,Data Engineer in office,Data Science,JPY,170657,151915,IN,SE,FL,In-person,JP,S +2021,Data Analyst ,Analysis,INR,106438,99560,JP,EX,FT,Hybrid,UK,L +2021,Data Engineer ,Data Science,us dolars,66392,61772,US,EX,FL,In-person,UK,L +2022,Machine Learning Engineer (Remote),ML/AI,us dolars,114267,169794,IN,EX,FL,Remote,CN,S +2020,Data Scientist in office,Engineering,EUR,192198,97656,DE,SE,FT,Hybrid,DE,S +2022,Data Engineer in office,Data Science,INR,72485,125625,JP,SE,FL,Hybrid,CN,L +2021,Statistician (Remote),Analysis,GBP,75798,116884,DE,EX,FL,Remote,DE,M +2022,Machine Learning Engineer in office,Data Science,us dolars,170089,147129,JP,EX,FL,Hybrid,IN,L +2021,Statistician ,Analysis,JPY,186772,166949,MX,MI,FT,Remote,JP,M +2022,Machine Learning Engineer in office,ML/AI,EUR,120680,48904,US,EX,FL,In-person,DE,S +2021,Data Engineer (Remote),Data Science,EUR,125446,116328,US,EN,PT,In-person,IN,S +2022,Data Scientist (Remote),Engineering,us dolars,197579,110195,JP,SE,FL,Hybrid,MX,S +2022,Statistician in office,Data Science,INR,119938,190756,IN,MI,PT,Remote,CN,L +2022,Machine Learning Engineer (Remote),Engineering,EUR,67232,96500,IN,SE,FL,Remote,JP,S +2020,Data Analyst ,Analysis,us dolars,185092,64902,IN,EX,FT,In-person,IN,L +2022,Data Engineer ,ML/AI,INR,127239,83606,UK,EN,PT,Remote,IN,M +2020,Data Scientist ,ML/AI,us dolars,87172,153574,CN,EX,FL,Hybrid,UK,M +2021,Data Engineer in office,Engineering,us dolars,127305,65571,CN,SE,FL,Hybrid,US,M +2022,Data Analyst (Remote),Analysis,INR,174818,99447,CN,MI,FL,In-person,US,S +2021,Data Scientist ,,,34094,106752,IN,,FL,Remote,US, +2021,Data Analyst (Remote),,,-98466,117157,US,,FT,Hybrid,IN, +2022,Data Engineer (Remote),Engineering,us dolars,129067,87203,MX,EN,CT,Hybrid,DE,L +2020,Machine Learning Engineer (Remote),Engineering,EUR,60755,87805,UK,EX,PT,Hybrid,CN,S +2022,Data Engineer ,Data Science,GBP,172624,102649,IN,EX,FL,Remote,US,M +2021,Data Engineer (Remote),ML/AI,GBP,180851,160294,US,EN,FT,In-person,DE,S +2021,Data Engineer ,ML/AI,us dolars,59000,70910,UK,SE,CT,In-person,MX,S +2022,Statistician ,Data Science,us dolars,87564,183833,US,EN,FT,Hybrid,MX,L +2020,Data Analyst ,,,175174,54992,JP,,FL,In-person,JP, +2020,Data Analyst in office,Engineering,INR,162933,117521,US,MI,CT,Hybrid,CN,M +2021,Data Analyst (Remote),,,73574,85448,UK,,PT,Hybrid,CN, +2021,Statistician in office,Engineering,JPY,193754,99903,IN,SE,PT,Remote,US,S +2020,Machine Learning Engineer in office,Analysis,INR,108819,40786,CN,MI,FT,Hybrid,IN,M +2022,Data Engineer in office,ML/AI,us dolars,121133,141316,UK,SE,PT,Hybrid,UK,S +2021,Machine Learning Engineer in office,ML/AI,JPY,107972,72706,IN,EX,PT,Remote,MX,L +2020,Statistician ,Engineering,EUR,151237,139997,IN,EX,CT,Remote,IN,M +2021,Data Analyst ,Engineering,JPY,123960,106587,MX,MI,PT,In-person,CN,M +2022,Data Engineer (Remote),Engineering,us dolars,104426,45611,DE,SE,CT,Remote,MX,S +2020,Data Scientist (Remote),ML/AI,GBP,68297,34490,MX,MI,CT,Hybrid,DE,L +2021,Data Scientist ,ML/AI,us dolars,144147,80004,JP,MI,CT,Remote,MX,L +2022,Machine Learning Engineer (Remote),Engineering,GBP,38299,126849,DE,SE,PT,Remote,JP,M +2021,Data Analyst (Remote),Analysis,EUR,71384,159213,CN,MI,FT,In-person,CN,M +2022,Data Scientist in office,Data Science,EUR,147182,167449,UK,EN,FT,Remote,IN,S +2022,Machine Learning Engineer in office,Data Science,INR,106693,39903,DE,MI,PT,Hybrid,CN,M +2020,Statistician in office,Data Science,INR,62687,175639,CN,EX,CT,Hybrid,UK,L +2022,Machine Learning Engineer in office,ML/AI,GBP,90047,56606,IN,SE,PT,Hybrid,MX,S +2021,Machine Learning Engineer in office,ML/AI,GBP,171263,153116,UK,EX,FL,Remote,UK,S +2022,Machine Learning Engineer ,Data Science,EUR,84911,163332,DE,EN,FT,Remote,JP,L +2022,Data Engineer in office,Data Science,JPY,107303,191339,US,EN,CT,Hybrid,US,L +2020,Machine Learning Engineer in office,,,-124165,46833,CN,,PT,Remote,IN, +2022,Machine Learning Engineer ,ML/AI,GBP,130330,145256,CN,EX,CT,In-person,CN,L +2022,Data Engineer in office,ML/AI,JPY,122480,33498,JP,MI,FL,In-person,IN,S +2021,Data Engineer (Remote),Data Science,INR,64623,155740,US,MI,CT,In-person,UK,S +2020,Statistician ,Analysis,INR,143219,40518,UK,EX,FL,In-person,DE,L +2020,Data Analyst (Remote),Analysis,GBP,153089,52254,DE,EN,FT,Hybrid,IN,M +2020,Data Scientist (Remote),Data Science,INR,80000,111438,IN,EN,CT,Remote,MX,S +2022,Data Scientist ,Data Science,INR,101494,186617,DE,EN,PT,In-person,UK,M +2020,Machine Learning Engineer ,,,-126172,164417,MX,,CT,Hybrid,DE, +2022,Statistician in office,Data Science,EUR,72876,89829,UK,SE,CT,In-person,US,M +2022,Machine Learning Engineer ,,,-148217,123767,UK,,FL,Remote,MX, +2021,Data Scientist ,Analysis,GBP,120688,137399,UK,SE,FL,In-person,US,L +2021,Data Engineer in office,Data Science,GBP,134065,39642,UK,SE,PT,In-person,UK,S +2021,Data Analyst in office,Engineering,EUR,96224,113375,MX,EX,FT,In-person,MX,S +2021,Statistician ,Analysis,us dolars,55365,119217,CN,MI,FT,In-person,UK,L +2021,Data Engineer in office,,,-59663,159412,DE,,FL,Remote,US, +2022,Data Analyst in office,Engineering,EUR,134610,194371,US,EX,PT,Hybrid,UK,L +2022,Statistician in office,Data Science,JPY,133376,196107,IN,EN,CT,In-person,MX,S +2020,Statistician (Remote),Analysis,JPY,113275,145020,IN,EX,PT,Hybrid,JP,S +2022,Data Scientist in office,Engineering,us dolars,153229,149937,JP,EN,PT,Remote,IN,S +2022,Data Engineer (Remote),ML/AI,JPY,171981,184655,CN,MI,PT,Remote,JP,L +2021,Statistician ,Analysis,JPY,90883,52105,UK,MI,FT,In-person,DE,L +2022,Statistician (Remote),ML/AI,JPY,42713,43736,UK,SE,CT,Hybrid,UK,L +2021,Data Analyst (Remote),Data Science,us dolars,173686,72281,UK,SE,PT,In-person,UK,L +2020,Data Scientist (Remote),ML/AI,JPY,128097,109351,CN,EX,FT,Remote,MX,M +2020,Machine Learning Engineer (Remote),Analysis,GBP,50734,119932,US,SE,FT,In-person,DE,S +2022,Data Scientist (Remote),,,-191781,185384,UK,,FL,In-person,MX, +2020,Machine Learning Engineer (Remote),Engineering,EUR,183957,107780,JP,MI,CT,Hybrid,IN,S +2022,Data Engineer ,Analysis,JPY,101622,85652,JP,EN,PT,Remote,US,S +2020,Data Engineer ,Engineering,INR,108267,161030,US,SE,CT,In-person,JP,M +2021,Statistician ,ML/AI,us dolars,174413,41718,CN,EN,FL,In-person,IN,L +2021,Data Engineer (Remote),Engineering,EUR,69435,126219,UK,MI,FL,In-person,US,S +2021,Statistician in office,Engineering,GBP,42976,151727,MX,SE,PT,Hybrid,US,L +2021,Data Scientist (Remote),ML/AI,EUR,112910,192500,DE,EN,FT,Remote,UK,M +2022,Data Engineer ,ML/AI,JPY,166362,187562,DE,MI,FL,In-person,DE,S +2020,Data Scientist (Remote),ML/AI,INR,160177,77351,IN,EN,FT,In-person,CN,L +2022,Data Scientist ,Data Science,JPY,75812,71001,US,SE,FL,In-person,UK,M +2021,Data Engineer in office,ML/AI,EUR,141841,155050,DE,EN,CT,Remote,MX,S +2022,Data Scientist in office,ML/AI,us dolars,87907,46410,IN,EN,PT,Hybrid,CN,M +2020,Data Engineer ,Data Science,INR,150992,82685,JP,MI,FL,Hybrid,DE,L +2022,Data Engineer ,Engineering,INR,111876,196458,IN,SE,CT,In-person,UK,S +2020,Data Engineer (Remote),ML/AI,EUR,65655,151317,UK,EX,FL,In-person,JP,S +2022,Machine Learning Engineer (Remote),Analysis,JPY,53997,119547,UK,EX,PT,Hybrid,UK,S +2020,Data Scientist (Remote),ML/AI,EUR,96876,186358,JP,EN,CT,Hybrid,JP,M +2020,Data Analyst in office,ML/AI,INR,140233,172463,US,MI,FT,Hybrid,CN,M +2021,Data Engineer in office,Data Science,EUR,152660,56999,CN,SE,FL,In-person,IN,M +2020,Data Scientist in office,,,-187085,163090,UK,,FL,In-person,IN, +2021,Statistician (Remote),Engineering,JPY,62862,42952,UK,SE,CT,Hybrid,CN,L +2021,Data Engineer ,Engineering,us dolars,82448,180354,IN,MI,PT,Hybrid,CN,M +2021,Data Engineer ,Analysis,us dolars,114612,117995,IN,EX,FL,Remote,UK,M +2022,Data Analyst (Remote),ML/AI,EUR,148849,130351,IN,EX,CT,In-person,IN,M +2022,Machine Learning Engineer (Remote),Data Science,INR,144060,47942,DE,EX,PT,Remote,US,L +2022,Machine Learning Engineer ,Analysis,us dolars,92104,31722,MX,MI,FL,Hybrid,JP,L +2022,Data Engineer ,Analysis,INR,69821,197892,JP,MI,CT,In-person,CN,S +2020,Data Scientist in office,Engineering,JPY,172007,195618,US,EN,PT,In-person,MX,M +2020,Statistician (Remote),Data Science,EUR,42467,159385,IN,EX,FL,Remote,DE,S +2022,Statistician in office,Analysis,INR,172145,96219,US,EN,FL,Remote,JP,S +2020,Data Scientist in office,Data Science,EUR,37691,137775,MX,MI,PT,Remote,UK,L +2020,Data Engineer ,ML/AI,INR,160115,179466,IN,SE,PT,Remote,IN,L +2021,Statistician (Remote),Engineering,INR,185562,187541,UK,EX,CT,In-person,IN,S +2021,Machine Learning Engineer ,ML/AI,JPY,45688,104041,MX,EX,FL,Hybrid,US,S +2021,Data Scientist in office,Data Science,EUR,128505,135747,US,EX,FL,Hybrid,IN,M +2021,Data Analyst (Remote),,,80650,91338,DE,,CT,Hybrid,UK, +2020,Data Engineer in office,Engineering,INR,174901,35492,IN,EX,FL,Remote,UK,L +2022,Data Scientist in office,Data Science,INR,164158,177899,CN,MI,FL,Hybrid,DE,S +2020,Statistician ,Analysis,us dolars,32590,146359,JP,EX,FL,Remote,JP,L +2020,Data Engineer (Remote),ML/AI,EUR,103396,188564,UK,EX,FT,Remote,MX,S +2020,Machine Learning Engineer (Remote),Engineering,GBP,159797,173941,MX,EN,PT,Hybrid,JP,S +2021,Data Engineer (Remote),Analysis,JPY,199248,182935,MX,SE,FT,Hybrid,JP,L +2021,Data Engineer (Remote),Engineering,GBP,97484,59136,IN,EX,FT,Hybrid,MX,M +2021,Machine Learning Engineer in office,Data Science,JPY,156484,149829,MX,EN,PT,In-person,DE,L +2022,Machine Learning Engineer ,Data Science,GBP,132267,44837,US,MI,FT,Remote,DE,S +2020,Data Engineer (Remote),ML/AI,GBP,187367,105592,IN,EN,CT,In-person,DE,S +2022,Machine Learning Engineer in office,Engineering,EUR,68131,161787,UK,EX,FT,Hybrid,US,M +2021,Data Scientist ,Engineering,us dolars,41924,178347,JP,EN,CT,In-person,DE,S +2022,Machine Learning Engineer ,Engineering,GBP,134191,50191,JP,EN,PT,In-person,IN,M +2020,Machine Learning Engineer ,Data Science,INR,171923,90126,JP,MI,FL,Hybrid,CN,L +2020,Data Engineer (Remote),ML/AI,INR,37734,38894,CN,EN,PT,Hybrid,US,M +2021,Data Scientist in office,Engineering,INR,150405,114253,UK,MI,PT,Remote,MX,S +2021,Data Analyst ,Engineering,us dolars,35293,114114,CN,MI,FT,Remote,IN,S +2022,Data Analyst ,Analysis,GBP,83203,53321,CN,EN,PT,In-person,MX,M +2021,Statistician ,Engineering,JPY,174892,138505,MX,EX,PT,Hybrid,JP,L +2021,Machine Learning Engineer in office,ML/AI,JPY,97827,54959,IN,SE,CT,Remote,UK,M +2020,Machine Learning Engineer in office,Analysis,EUR,173463,171587,UK,EN,FL,Remote,JP,S +2021,Data Scientist (Remote),Analysis,us dolars,71970,95196,UK,EN,FT,In-person,DE,L +2021,Data Analyst (Remote),Analysis,GBP,60796,182515,MX,EN,FL,In-person,UK,M +2020,Statistician in office,Data Science,INR,129345,198280,IN,SE,FL,In-person,JP,M +2020,Data Scientist (Remote),Analysis,us dolars,146245,162855,DE,SE,FL,Hybrid,US,M +2022,Machine Learning Engineer in office,Engineering,us dolars,113127,108649,CN,MI,FT,Remote,DE,S +2021,Data Analyst (Remote),Data Science,GBP,66389,100921,JP,SE,PT,Remote,JP,S +2020,Statistician (Remote),,,33352,168054,US,,FL,Remote,UK, +2022,Data Engineer in office,Data Science,EUR,152143,130887,CN,EN,FT,In-person,IN,L +2022,Data Analyst ,Data Science,EUR,189244,45316,US,MI,PT,Hybrid,JP,L +2021,Statistician ,Data Science,INR,172009,143652,IN,EX,FL,In-person,US,L +2021,Data Scientist (Remote),Data Science,INR,123657,150357,US,MI,CT,In-person,UK,S +2022,Data Engineer ,,,-137276,135364,DE,,FT,Hybrid,JP, +2020,Statistician ,Analysis,EUR,118672,32936,UK,SE,FL,Hybrid,IN,L +2022,Statistician (Remote),ML/AI,GBP,184624,107400,JP,EN,FT,In-person,DE,M +2021,Machine Learning Engineer ,Engineering,EUR,175190,104843,US,EX,CT,Hybrid,DE,S +2020,Data Analyst in office,Engineering,us dolars,41290,36709,US,EX,FT,In-person,MX,M +2020,Machine Learning Engineer in office,,,55123,50707,IN,,PT,Remote,DE, +2022,Data Engineer ,Analysis,JPY,82136,69384,IN,SE,FL,Hybrid,CN,S +2021,Statistician in office,Data Science,EUR,147278,65187,MX,SE,FT,Remote,UK,L +2022,Machine Learning Engineer in office,,,-182499,96935,UK,,FT,Hybrid,MX, +2022,Data Analyst ,Data Science,INR,32257,72536,JP,SE,FL,In-person,MX,M +2022,Data Engineer in office,Analysis,EUR,97733,146772,MX,EX,CT,In-person,MX,L +2020,Data Scientist (Remote),Data Science,EUR,169294,185260,MX,EX,CT,In-person,CN,M +2020,Machine Learning Engineer (Remote),Engineering,INR,186259,44245,US,EX,FL,In-person,MX,M +2021,Data Engineer (Remote),Engineering,EUR,181853,141282,UK,EN,FL,In-person,IN,S +2021,Data Scientist ,Data Science,us dolars,155890,142740,JP,MI,PT,In-person,IN,M +2022,Machine Learning Engineer in office,,,156682,62286,UK,,FT,Hybrid,JP, +2022,Data Engineer ,Data Science,us dolars,172076,195375,US,SE,FT,Hybrid,DE,S +2022,Data Engineer ,Data Science,JPY,137178,110901,IN,EN,CT,Remote,UK,L +2021,Machine Learning Engineer in office,,,87600,108986,IN,,PT,Hybrid,CN, +2020,Data Engineer in office,ML/AI,INR,186587,99726,IN,EN,FT,Hybrid,CN,L +2020,Statistician in office,ML/AI,GBP,110952,146342,DE,EN,PT,Remote,DE,L +2022,Machine Learning Engineer ,Engineering,GBP,164257,53937,UK,SE,FL,Remote,CN,S +2022,Data Engineer ,Data Science,INR,120888,153245,US,EN,FT,In-person,DE,S +2022,Data Scientist (Remote),Analysis,JPY,153611,33960,UK,MI,FL,Remote,JP,L +2022,Data Scientist ,ML/AI,EUR,84476,69602,IN,SE,CT,Remote,JP,S +2021,Statistician in office,ML/AI,GBP,126279,171636,CN,MI,CT,Hybrid,JP,S +2020,Machine Learning Engineer ,Data Science,JPY,192284,95533,CN,EN,FL,In-person,US,M +2022,Data Engineer (Remote),Analysis,JPY,122154,77510,UK,EN,CT,Remote,US,S +2021,Data Engineer in office,Data Science,GBP,152537,35091,JP,EX,FL,In-person,CN,S +2022,Data Scientist (Remote),Data Science,EUR,117125,92335,CN,SE,FL,In-person,UK,M +2022,Statistician ,ML/AI,GBP,198702,191591,CN,SE,FL,Remote,UK,L +2020,Data Scientist ,ML/AI,JPY,104099,164782,UK,EX,CT,Remote,JP,L +2022,Data Scientist (Remote),Engineering,us dolars,158969,93564,MX,MI,CT,Remote,IN,S +2020,Statistician (Remote),Analysis,GBP,177657,159257,DE,MI,CT,Remote,UK,S +2020,Machine Learning Engineer in office,Analysis,JPY,125833,145517,DE,EN,FL,In-person,CN,L +2020,Data Engineer in office,ML/AI,GBP,79240,89977,IN,SE,PT,Hybrid,MX,S +2021,Machine Learning Engineer (Remote),ML/AI,JPY,44772,134931,US,EN,CT,In-person,US,L +2021,Data Analyst in office,ML/AI,EUR,140990,37988,MX,EX,PT,In-person,MX,L +2020,Data Analyst (Remote),,,142315,196826,JP,,CT,In-person,MX, +2022,Data Analyst (Remote),Engineering,INR,128053,123650,MX,MI,FT,Remote,CN,M +2020,Statistician ,Analysis,us dolars,117091,53074,US,MI,FT,Remote,CN,S +2022,Data Scientist (Remote),ML/AI,JPY,179010,51198,US,EX,FT,Hybrid,US,S +2020,Machine Learning Engineer in office,ML/AI,GBP,183055,106045,JP,MI,PT,Hybrid,DE,L +2022,Data Engineer (Remote),Engineering,GBP,173946,186252,DE,EX,CT,Hybrid,MX,S +2021,Data Analyst ,,,-120341,78068,MX,,FL,In-person,JP, +2022,Machine Learning Engineer in office,Data Science,INR,90896,140969,CN,EX,PT,Hybrid,MX,L +2020,Data Analyst (Remote),,,-62822,46560,IN,,CT,In-person,CN, +2021,Data Analyst ,Data Science,EUR,181822,95152,UK,EX,FT,Remote,IN,S +2022,Data Engineer in office,Data Science,INR,132335,153516,DE,MI,PT,In-person,JP,L +2022,Statistician ,Analysis,JPY,147828,65391,IN,SE,CT,Remote,MX,L +2022,Data Scientist ,ML/AI,us dolars,152766,58731,CN,EN,FL,Remote,US,L +2022,Statistician in office,Data Science,INR,189018,114698,DE,SE,PT,Hybrid,IN,M +2022,Machine Learning Engineer ,ML/AI,JPY,162624,143880,MX,MI,FL,Remote,UK,L +2021,Statistician ,Analysis,us dolars,103331,148440,JP,SE,PT,Hybrid,DE,M +2021,Machine Learning Engineer ,ML/AI,JPY,166343,186308,US,SE,FT,Hybrid,CN,L +2021,Machine Learning Engineer in office,ML/AI,EUR,110201,198205,JP,EX,FT,Hybrid,US,S +2021,Data Scientist ,Analysis,GBP,95651,34340,CN,EX,FT,In-person,DE,S +2020,Data Engineer (Remote),ML/AI,JPY,131917,100291,UK,MI,FL,Hybrid,CN,L +2021,Data Scientist ,Data Science,INR,190066,78731,JP,EX,FT,Hybrid,MX,S +2022,Statistician (Remote),,,-57186,82822,CN,,FL,Remote,MX, +2022,Machine Learning Engineer ,Data Science,JPY,60267,71866,US,EN,FL,In-person,CN,L +2021,Data Analyst (Remote),Data Science,JPY,69140,144295,DE,SE,FL,Hybrid,JP,M +2022,Data Analyst in office,ML/AI,JPY,186007,126791,IN,EN,FT,Hybrid,IN,L +2021,Machine Learning Engineer ,Data Science,INR,61748,132262,CN,EN,CT,Hybrid,JP,M +2022,Data Scientist (Remote),ML/AI,INR,120139,71813,CN,SE,FL,Remote,DE,S +2020,Data Engineer in office,,,-164909,169787,MX,,CT,Remote,MX, +2020,Data Scientist ,ML/AI,GBP,94875,131354,UK,EN,FL,Remote,US,M +2021,Machine Learning Engineer ,Data Science,JPY,170682,44783,DE,SE,FT,Hybrid,DE,S +2021,Machine Learning Engineer ,Engineering,INR,58615,119012,CN,EN,FT,Hybrid,US,S +2021,Data Engineer in office,Analysis,EUR,134135,97933,CN,EN,FT,Hybrid,MX,L +2022,Statistician in office,ML/AI,JPY,183419,70680,IN,SE,PT,Hybrid,MX,L +2021,Statistician (Remote),Data Science,JPY,64062,153207,US,EX,FT,Hybrid,DE,M +2020,Data Engineer ,Data Science,JPY,85122,89179,JP,MI,CT,Remote,JP,L +2022,Statistician (Remote),Data Science,JPY,103086,129613,MX,SE,FL,Hybrid,MX,M +2021,Data Analyst (Remote),Analysis,us dolars,58205,69970,DE,MI,CT,In-person,DE,L +2022,Statistician (Remote),Engineering,JPY,48459,34718,IN,SE,PT,Hybrid,UK,S +2022,Statistician (Remote),Engineering,INR,184822,188183,IN,SE,CT,Remote,MX,S +2021,Statistician (Remote),Data Science,INR,57729,199790,JP,MI,FL,Hybrid,JP,S +2022,Data Analyst ,ML/AI,us dolars,68585,105769,DE,MI,FL,In-person,DE,S +2020,Statistician in office,Data Science,JPY,113698,109707,DE,EX,FT,Hybrid,DE,M +2020,Data Analyst (Remote),Data Science,GBP,75635,171798,MX,SE,PT,In-person,IN,S +2022,Data Engineer in office,ML/AI,JPY,59104,122304,US,SE,PT,In-person,MX,S +2021,Data Scientist (Remote),Data Science,INR,44770,47139,DE,SE,CT,Remote,JP,S +2022,Data Engineer ,Analysis,EUR,158750,149804,MX,EX,FT,In-person,IN,S +2020,Data Scientist (Remote),Data Science,EUR,152245,74782,CN,MI,FT,Hybrid,JP,L +2022,Data Engineer (Remote),Analysis,GBP,154011,49958,JP,SE,FT,In-person,US,M +2022,Data Scientist (Remote),,,179029,182379,DE,,FL,Hybrid,JP, +2020,Data Scientist ,Engineering,us dolars,85178,133026,US,EX,PT,Hybrid,JP,L +2022,Machine Learning Engineer (Remote),ML/AI,JPY,125155,99134,IN,EN,CT,Hybrid,DE,L +2022,Data Scientist ,Engineering,GBP,50828,43583,CN,MI,CT,Hybrid,UK,M +2021,Data Scientist in office,Data Science,GBP,47171,47013,DE,EX,CT,Remote,CN,M +2021,Machine Learning Engineer in office,,,-174218,77984,JP,,FT,Hybrid,JP, +2020,Statistician in office,Analysis,EUR,153249,151246,DE,SE,PT,Remote,IN,S +2020,Statistician ,Data Science,JPY,44202,159110,MX,SE,PT,In-person,UK,M +2020,Machine Learning Engineer (Remote),Data Science,JPY,198214,39096,UK,MI,FL,Hybrid,JP,L +2021,Data Analyst in office,Data Science,us dolars,117367,103533,US,EN,FL,In-person,UK,S +2020,Data Scientist in office,Engineering,GBP,89046,144795,IN,EX,FL,Remote,US,S +2020,Data Scientist (Remote),Analysis,GBP,39849,55618,UK,SE,CT,Hybrid,UK,L +2020,Machine Learning Engineer in office,Engineering,INR,181511,39868,JP,SE,CT,Hybrid,US,M +2021,Machine Learning Engineer in office,Analysis,INR,108872,51882,DE,EN,PT,Remote,UK,M +2022,Data Analyst (Remote),Engineering,EUR,65344,181711,US,EX,FL,In-person,UK,S +2020,Statistician ,Data Science,JPY,166123,198035,CN,SE,CT,Remote,IN,L +2022,Data Engineer ,Engineering,us dolars,105604,136760,MX,SE,FL,In-person,CN,S +2020,Statistician in office,Engineering,us dolars,178039,132125,MX,MI,FL,In-person,IN,S +2022,Data Scientist in office,Analysis,GBP,182845,155677,DE,EX,PT,In-person,DE,S +2021,Machine Learning Engineer ,Analysis,us dolars,126550,190542,DE,SE,PT,Hybrid,UK,L +2021,Data Analyst in office,Engineering,GBP,104383,139982,DE,EN,CT,Remote,US,M +2020,Statistician ,Analysis,JPY,71182,100714,CN,SE,PT,Hybrid,MX,S +2022,Data Analyst in office,Analysis,us dolars,146810,101102,DE,EX,FL,Remote,UK,M +2021,Statistician in office,Analysis,GBP,54180,181425,US,MI,PT,In-person,MX,M +2020,Data Scientist ,,,-81372,199260,CN,,FL,Hybrid,JP, +2020,Data Engineer (Remote),Analysis,JPY,133427,63375,CN,EN,FL,Hybrid,US,M +2021,Data Analyst in office,ML/AI,GBP,99086,101210,UK,SE,CT,Hybrid,JP,M +2021,Data Analyst in office,ML/AI,GBP,52163,183344,JP,EN,CT,In-person,DE,S +2020,Data Engineer (Remote),Analysis,EUR,149616,182788,CN,EX,CT,Remote,JP,L +2022,Data Analyst in office,Engineering,JPY,62934,119276,UK,MI,FL,In-person,DE,L +2022,Data Analyst (Remote),Analysis,GBP,85595,118706,US,EX,PT,Hybrid,DE,S +2022,Statistician (Remote),,,56592,196234,JP,,CT,Hybrid,DE, +2020,Statistician ,Engineering,us dolars,53039,103606,CN,SE,CT,In-person,JP,M +2021,Data Engineer (Remote),ML/AI,INR,138305,190544,IN,MI,PT,Hybrid,DE,M +2020,Data Scientist ,ML/AI,INR,119262,149837,UK,EN,PT,Hybrid,DE,L +2021,Data Analyst ,,,-158383,138343,US,,CT,Remote,IN, +2022,Data Scientist ,Engineering,GBP,64018,91401,US,EN,FL,Remote,MX,M +2022,Data Engineer in office,Analysis,JPY,83158,88835,US,SE,FL,Remote,CN,S +2021,Data Engineer in office,ML/AI,GBP,165630,86936,MX,EN,CT,Remote,UK,L +2021,Statistician (Remote),Data Science,JPY,62174,192590,JP,EX,PT,Remote,DE,S +2020,Data Analyst ,Analysis,GBP,125941,157446,DE,EN,FL,Remote,US,M +2022,Machine Learning Engineer in office,Engineering,JPY,133381,188385,IN,SE,PT,Hybrid,US,L +2020,Data Engineer in office,ML/AI,GBP,176624,158344,JP,EX,FT,Hybrid,IN,L +2020,Data Analyst (Remote),Engineering,EUR,196137,46110,JP,EN,PT,Remote,JP,M +2020,Data Scientist in office,Engineering,JPY,137532,195888,CN,EN,PT,In-person,JP,M +2022,Statistician in office,Engineering,EUR,163686,91549,MX,EX,FT,Remote,JP,S +2020,Data Scientist in office,Analysis,EUR,64647,160834,UK,SE,FL,Hybrid,DE,S +2020,Data Engineer in office,Data Science,EUR,87940,58530,IN,EX,FL,In-person,CN,M +2020,Data Engineer in office,Data Science,EUR,161692,30893,US,SE,FL,In-person,MX,M +2020,Data Scientist in office,ML/AI,us dolars,184154,158745,JP,EN,CT,In-person,CN,M +2020,Data Engineer (Remote),Engineering,INR,182963,153967,IN,EX,FT,Hybrid,JP,L +2020,Data Analyst ,Data Science,us dolars,136566,124260,UK,SE,PT,In-person,JP,M +2022,Data Engineer in office,Engineering,GBP,92395,56885,DE,EX,FT,Hybrid,UK,L +2020,Statistician ,ML/AI,GBP,80955,74560,IN,EN,FT,Hybrid,CN,M +2021,Data Analyst (Remote),Engineering,INR,62314,43613,MX,EX,FT,Remote,DE,L +2020,Machine Learning Engineer (Remote),Data Science,INR,184572,167159,MX,EN,FT,Hybrid,DE,S +2020,Data Engineer ,Engineering,INR,83685,196773,US,EN,FT,In-person,MX,S +2022,Data Engineer ,Data Science,EUR,153947,48665,MX,EN,FT,Hybrid,US,L +2022,Statistician (Remote),ML/AI,us dolars,94783,136568,JP,SE,CT,Hybrid,US,S +2021,Statistician in office,Engineering,GBP,130229,59622,DE,SE,FT,Remote,UK,S +2021,Data Scientist ,Data Science,us dolars,80189,125834,UK,MI,FT,Remote,IN,L +2022,Data Scientist ,ML/AI,us dolars,123554,71989,US,SE,FL,Hybrid,DE,M +2022,Data Scientist in office,Engineering,us dolars,49567,74741,DE,MI,FT,Hybrid,MX,M +2020,Statistician ,ML/AI,INR,187050,50163,CN,EX,FT,Hybrid,US,L +2022,Data Scientist in office,Data Science,INR,106089,101637,CN,EN,FL,Remote,JP,S +2021,Data Scientist (Remote),Engineering,GBP,170702,89175,UK,SE,FL,Remote,DE,M +2020,Machine Learning Engineer ,,,173075,63546,US,,FL,In-person,DE, +2021,Data Scientist in office,Engineering,GBP,71444,164547,MX,MI,PT,In-person,DE,S +2020,Data Engineer in office,ML/AI,us dolars,116184,100259,JP,SE,FT,In-person,CN,L +2022,Statistician (Remote),ML/AI,INR,192679,44890,UK,SE,FT,In-person,US,L +2021,Data Analyst ,Data Science,EUR,54821,184342,MX,SE,FT,Remote,UK,M +2020,Machine Learning Engineer in office,Analysis,us dolars,44601,36713,DE,SE,FL,Remote,US,L +2020,Statistician ,Engineering,JPY,142882,123389,US,EN,CT,Hybrid,JP,S +2022,Statistician in office,Engineering,us dolars,101657,95317,CN,SE,FT,In-person,JP,L +2022,Data Engineer ,Data Science,INR,199629,112979,CN,MI,FL,Hybrid,IN,L +2022,Data Scientist ,Engineering,JPY,111846,151061,IN,SE,FL,Hybrid,US,L +2021,Data Engineer in office,ML/AI,us dolars,80502,160742,US,MI,FL,Remote,US,L +2020,Data Scientist in office,ML/AI,INR,153409,145039,DE,MI,PT,Hybrid,IN,S +2022,Data Scientist ,Engineering,INR,52098,76492,DE,EN,FL,Hybrid,IN,L +2021,Statistician ,Engineering,EUR,148502,139718,IN,SE,CT,Remote,DE,M +2021,Data Scientist (Remote),ML/AI,us dolars,105516,176467,MX,MI,PT,Remote,DE,L +2021,Machine Learning Engineer in office,Engineering,INR,74280,102005,DE,SE,FL,Remote,JP,M +2022,Machine Learning Engineer ,ML/AI,GBP,38951,55040,MX,EN,CT,Remote,MX,S +2022,Machine Learning Engineer ,Analysis,INR,38117,139009,MX,EN,CT,In-person,MX,L +2020,Statistician in office,Analysis,EUR,55979,98702,US,SE,FT,In-person,MX,M +2020,Data Engineer ,Engineering,INR,46915,51637,MX,MI,FL,In-person,MX,L +2022,Data Analyst ,Engineering,us dolars,89261,97745,CN,EX,FL,Hybrid,UK,L +2021,Data Scientist (Remote),Engineering,us dolars,148825,169819,UK,EX,FT,In-person,JP,M +2021,Data Analyst (Remote),ML/AI,JPY,128902,181322,CN,EN,CT,Remote,CN,S +2021,Data Engineer in office,Analysis,us dolars,102964,120467,MX,MI,FL,In-person,US,S +2020,Data Engineer in office,Analysis,JPY,65677,141855,CN,EX,FT,Remote,MX,S +2021,Statistician in office,Data Science,GBP,79830,84040,US,MI,FT,In-person,UK,S +2020,Machine Learning Engineer (Remote),Data Science,EUR,38922,137518,MX,SE,CT,In-person,DE,S +2020,Machine Learning Engineer (Remote),Engineering,GBP,126696,192377,DE,EN,CT,Remote,IN,S +2021,Data Engineer (Remote),ML/AI,JPY,97561,113110,IN,SE,FL,Remote,IN,L +2021,Statistician ,Engineering,INR,43220,126395,IN,SE,FL,Hybrid,MX,L +2022,Statistician (Remote),Analysis,INR,83380,171168,JP,SE,PT,Hybrid,JP,M +2022,Data Scientist (Remote),Engineering,GBP,163838,105764,IN,MI,CT,Hybrid,MX,S +2021,Machine Learning Engineer in office,Engineering,INR,151449,170290,IN,EX,PT,In-person,US,S +2020,Data Engineer (Remote),Analysis,JPY,194231,120367,DE,SE,PT,In-person,US,S +2020,Data Analyst (Remote),Analysis,EUR,40935,114338,UK,EN,FT,Remote,IN,M +2020,Machine Learning Engineer ,Analysis,us dolars,33784,180407,UK,MI,FT,Remote,JP,L +2020,Data Scientist (Remote),,,-181293,59907,DE,,FL,Hybrid,CN, +2020,Statistician in office,Data Science,JPY,190251,69387,IN,SE,CT,Remote,JP,S +2022,Data Engineer ,ML/AI,us dolars,48069,104655,US,EN,CT,In-person,DE,L +2021,Machine Learning Engineer (Remote),ML/AI,us dolars,151185,87407,CN,SE,PT,Remote,MX,L +2022,Data Analyst (Remote),Analysis,EUR,65682,165627,MX,EX,PT,Remote,DE,L +2020,Data Scientist (Remote),ML/AI,EUR,141547,76095,CN,EX,FL,Remote,DE,S +2020,Data Scientist ,ML/AI,EUR,124303,31042,UK,SE,FT,Remote,MX,L +2020,Machine Learning Engineer ,,,-157081,133748,DE,,CT,Remote,CN, +2020,Data Analyst (Remote),ML/AI,JPY,107818,34188,US,MI,CT,Hybrid,UK,M +2021,Data Scientist in office,Analysis,us dolars,181182,108596,IN,EX,CT,Hybrid,JP,S +2020,Data Engineer (Remote),Engineering,JPY,141269,171305,DE,EX,CT,In-person,JP,L +2021,Data Scientist ,,,192304,33088,UK,,FT,Hybrid,CN, +2020,Data Analyst ,Engineering,EUR,74273,31646,MX,EN,FL,Remote,MX,L +2021,Statistician ,Data Science,EUR,85210,174199,US,SE,FL,Hybrid,DE,S +2022,Statistician in office,ML/AI,JPY,103191,193687,US,SE,FT,In-person,IN,L +2020,Machine Learning Engineer (Remote),Analysis,EUR,59461,45453,UK,EX,FL,Hybrid,DE,L +2021,Data Analyst (Remote),Analysis,INR,34610,82233,US,MI,FL,In-person,UK,M +2022,Data Scientist ,Data Science,us dolars,86973,195587,CN,SE,PT,In-person,CN,S +2020,Data Scientist (Remote),Analysis,JPY,168655,113087,MX,EN,FT,In-person,MX,L +2020,Statistician in office,Engineering,us dolars,55583,91993,UK,EN,FL,Remote,IN,M +2020,Statistician in office,Data Science,INR,178773,116392,CN,SE,PT,In-person,JP,M +2021,Data Engineer (Remote),Analysis,EUR,36880,152349,DE,EN,FT,Hybrid,UK,S +2021,Statistician (Remote),Data Science,GBP,119257,183260,JP,EN,FT,Hybrid,UK,S +2022,Data Engineer (Remote),Data Science,INR,142024,96019,MX,SE,CT,Hybrid,CN,M +2021,Data Scientist (Remote),Analysis,GBP,102417,30451,IN,EN,PT,In-person,IN,S +2021,Data Engineer (Remote),Engineering,us dolars,33722,165141,DE,EN,PT,In-person,DE,S +2020,Data Engineer (Remote),Analysis,JPY,50077,94274,CN,SE,PT,Remote,DE,S +2020,Machine Learning Engineer ,ML/AI,EUR,110868,174458,IN,EX,FT,In-person,US,L +2020,Statistician ,ML/AI,INR,157430,168279,IN,MI,CT,Hybrid,IN,S +2020,Data Engineer ,Analysis,EUR,43229,199511,CN,MI,FT,Remote,DE,S +2020,Data Scientist in office,Engineering,GBP,103338,48157,CN,EX,FL,Hybrid,UK,M +2020,Data Analyst in office,ML/AI,GBP,172511,104726,MX,SE,FL,Remote,CN,M +2020,Data Engineer in office,ML/AI,JPY,196974,135716,UK,EX,FL,In-person,DE,M +2022,Statistician in office,Analysis,GBP,32598,176001,JP,MI,CT,Remote,CN,S +2022,Machine Learning Engineer ,Analysis,JPY,122297,134636,MX,MI,FT,In-person,DE,S +2022,Data Scientist (Remote),Analysis,INR,165124,37913,CN,MI,PT,In-person,CN,M +2022,Machine Learning Engineer (Remote),Data Science,JPY,42741,56727,IN,MI,FL,Hybrid,UK,M +2020,Data Analyst (Remote),Data Science,GBP,99360,163018,IN,SE,FL,In-person,IN,L +2022,Data Engineer in office,,,-66288,91061,DE,,FT,In-person,US, +2020,Data Engineer ,Analysis,JPY,162321,143388,JP,MI,PT,In-person,CN,L +2022,Statistician (Remote),Engineering,EUR,184042,97957,JP,SE,CT,Hybrid,DE,S +2021,Data Engineer in office,ML/AI,us dolars,45565,115839,IN,EX,FL,In-person,CN,S +2022,Data Scientist in office,Data Science,JPY,86995,135649,JP,SE,FL,Hybrid,CN,M +2022,Data Analyst in office,Engineering,EUR,81656,180539,DE,MI,FL,Remote,DE,L +2020,Machine Learning Engineer (Remote),Analysis,us dolars,75765,185576,UK,EN,PT,Hybrid,MX,S +2022,Data Analyst ,Data Science,JPY,163086,31844,IN,SE,FL,Hybrid,DE,L +2021,Data Engineer (Remote),Analysis,INR,144794,64572,US,SE,PT,In-person,IN,L +2020,Machine Learning Engineer ,Engineering,EUR,138987,184047,IN,EX,FL,Hybrid,UK,S +2020,Statistician ,Data Science,INR,175084,49449,IN,MI,FL,Remote,UK,L +2022,Data Analyst (Remote),Data Science,GBP,87498,140137,UK,EN,PT,Hybrid,UK,M +2020,Machine Learning Engineer (Remote),Data Science,JPY,98776,49459,CN,SE,PT,In-person,UK,M +2020,Machine Learning Engineer in office,Data Science,JPY,153675,179676,CN,SE,CT,Remote,UK,S +2020,Machine Learning Engineer in office,Engineering,EUR,91711,155298,US,SE,FT,In-person,MX,L +2020,Data Scientist (Remote),Data Science,JPY,72530,139334,US,EN,FL,In-person,UK,M +2020,Data Analyst (Remote),ML/AI,GBP,179090,90140,US,SE,FL,Hybrid,DE,L +2020,Machine Learning Engineer ,ML/AI,JPY,158236,55362,CN,SE,FT,In-person,DE,M +2021,Data Analyst ,Analysis,us dolars,47916,189015,MX,EN,FT,Remote,UK,M +2022,Machine Learning Engineer in office,Data Science,INR,70376,51319,UK,SE,FT,Remote,UK,L +2021,Statistician ,ML/AI,GBP,140713,130751,JP,EN,FL,Remote,IN,S +2020,Statistician (Remote),ML/AI,GBP,146128,168769,US,EX,FL,Remote,CN,S +2020,Statistician ,ML/AI,INR,115566,126896,JP,EN,FL,Hybrid,IN,S +2022,Data Engineer ,Engineering,INR,107125,58735,DE,EX,PT,Remote,JP,L +2021,Machine Learning Engineer ,Data Science,GBP,117519,61293,UK,EN,CT,Hybrid,DE,L +2022,Data Engineer (Remote),Engineering,INR,42437,169082,JP,MI,CT,In-person,MX,L +2021,Data Analyst in office,Engineering,EUR,92146,122305,CN,SE,FT,In-person,UK,S +2020,Data Engineer ,ML/AI,INR,57618,119359,MX,EX,FT,Hybrid,MX,L +2022,Data Analyst (Remote),ML/AI,us dolars,39705,70727,CN,SE,FL,In-person,CN,S +2022,Data Analyst ,Analysis,us dolars,110912,134545,US,SE,CT,In-person,MX,M +2020,Data Analyst ,Data Science,EUR,81750,44787,MX,EN,CT,Remote,DE,S +2022,Data Engineer (Remote),Data Science,INR,74379,147710,US,MI,PT,In-person,MX,S +2021,Machine Learning Engineer ,ML/AI,us dolars,82682,141489,MX,EN,FL,In-person,JP,S +2021,Data Engineer (Remote),ML/AI,JPY,135894,174375,JP,SE,FL,Hybrid,IN,L +2021,Machine Learning Engineer in office,Data Science,INR,90384,128782,CN,EN,CT,Remote,JP,S +2021,Machine Learning Engineer ,Analysis,EUR,160512,83448,JP,EX,CT,In-person,US,M +2020,Data Analyst (Remote),ML/AI,INR,81128,99513,DE,MI,PT,In-person,MX,M +2022,Data Engineer ,Analysis,GBP,162907,36068,UK,SE,PT,Hybrid,IN,M +2021,Machine Learning Engineer ,Engineering,GBP,51283,140040,CN,EN,FL,In-person,DE,M +2020,Statistician ,ML/AI,us dolars,79506,148962,IN,EX,PT,Remote,IN,M +2022,Machine Learning Engineer (Remote),,,-197035,192299,CN,,CT,Remote,JP, +2022,Statistician (Remote),ML/AI,EUR,155007,42740,DE,EN,FL,Remote,UK,S +2020,Data Engineer (Remote),Engineering,us dolars,170251,118333,CN,EN,CT,Hybrid,CN,L +2020,Data Engineer in office,ML/AI,EUR,124440,94745,DE,SE,FL,Remote,JP,L +2021,Data Engineer ,Analysis,EUR,136649,168863,CN,EX,FL,Remote,JP,M +2022,Machine Learning Engineer (Remote),Analysis,GBP,41955,161557,DE,MI,CT,Remote,MX,S +2022,Data Scientist ,Analysis,GBP,168270,191767,MX,EN,FL,Remote,MX,M +2020,Machine Learning Engineer ,Engineering,EUR,74588,198513,US,MI,FL,Remote,UK,M +2022,Machine Learning Engineer ,,,172838,30337,JP,,PT,Remote,CN, +2021,Data Analyst (Remote),Engineering,GBP,126626,160996,CN,SE,CT,Hybrid,DE,M +2022,Data Analyst in office,ML/AI,GBP,99874,176164,UK,SE,CT,Remote,CN,L +2020,Machine Learning Engineer in office,Engineering,INR,145117,86052,US,SE,PT,In-person,MX,L +2020,Statistician in office,ML/AI,EUR,166373,31471,DE,MI,FL,Hybrid,DE,S +2021,Data Analyst in office,Data Science,JPY,176216,81194,UK,MI,FT,In-person,IN,S +2021,Machine Learning Engineer (Remote),Data Science,EUR,174856,149076,US,EN,FT,In-person,JP,M +2022,Data Scientist in office,Data Science,us dolars,97959,103392,IN,EX,CT,Remote,IN,L +2022,Statistician in office,Engineering,GBP,38272,91088,CN,EX,PT,In-person,UK,M +2020,Data Engineer (Remote),Data Science,GBP,162645,129909,CN,EX,FL,In-person,US,L +2021,Machine Learning Engineer (Remote),Data Science,JPY,54419,35664,DE,MI,PT,In-person,MX,L +2021,Machine Learning Engineer ,Data Science,us dolars,78555,118859,US,SE,FL,Remote,DE,S +2021,Statistician ,ML/AI,INR,166248,121991,US,EX,CT,Remote,UK,S +2022,Data Analyst in office,Analysis,EUR,197233,149805,DE,EN,CT,Remote,DE,L +2021,Data Analyst ,Engineering,INR,152082,166451,IN,MI,FT,Hybrid,IN,S +2020,Data Analyst (Remote),Data Science,us dolars,176236,61536,CN,SE,PT,Remote,US,M +2020,Data Engineer ,ML/AI,JPY,55379,166063,JP,EX,CT,Remote,MX,L +2022,Statistician ,Analysis,us dolars,48368,124754,IN,SE,PT,In-person,CN,L +2022,Statistician (Remote),Analysis,JPY,193843,146134,DE,EN,CT,Remote,JP,L +2021,Data Analyst in office,,,134302,126649,JP,,FL,In-person,CN, +2022,Data Analyst ,ML/AI,INR,128906,131610,US,EX,FL,Remote,DE,L +2020,Data Scientist ,,,73327,123513,MX,,FT,Remote,JP, +2021,Data Scientist in office,Analysis,us dolars,123787,58359,MX,MI,CT,Remote,MX,M +2020,Machine Learning Engineer ,ML/AI,GBP,61977,147060,IN,SE,FT,Remote,IN,L +2021,Machine Learning Engineer in office,ML/AI,JPY,36714,144209,MX,EN,FT,Remote,DE,M +2022,Statistician (Remote),Engineering,GBP,136680,48043,IN,SE,CT,Remote,CN,M +2021,Statistician (Remote),ML/AI,EUR,107237,118059,MX,SE,CT,Remote,IN,S +2021,Data Engineer in office,Analysis,EUR,175963,39070,CN,EX,FL,In-person,JP,S +2020,Data Engineer (Remote),Analysis,us dolars,82299,175205,MX,MI,FT,Hybrid,IN,S +2020,Data Scientist (Remote),ML/AI,INR,95124,86955,CN,MI,FL,Hybrid,MX,L +2021,Machine Learning Engineer (Remote),Analysis,EUR,123052,58571,JP,MI,PT,Remote,MX,L +2022,Data Scientist (Remote),,,70912,188063,US,,PT,Hybrid,MX, +2022,Data Scientist (Remote),Analysis,GBP,144742,107115,IN,SE,FT,In-person,MX,S +2020,Machine Learning Engineer (Remote),Engineering,GBP,98446,128891,JP,EX,FT,In-person,MX,L +2022,Data Engineer ,Data Science,EUR,91516,160644,IN,EX,CT,In-person,IN,S +2020,Machine Learning Engineer ,Engineering,us dolars,155223,51871,MX,MI,CT,Hybrid,IN,M +2022,Data Analyst ,Engineering,GBP,197188,167295,CN,SE,FT,Hybrid,UK,M +2021,Data Analyst (Remote),Data Science,EUR,113521,44197,US,MI,FT,Hybrid,UK,M +2020,Data Analyst ,Analysis,INR,183223,104923,MX,MI,PT,Remote,DE,L +2020,Statistician in office,,,-155673,132657,US,,FL,In-person,IN, +2021,Data Engineer in office,ML/AI,EUR,101366,122438,UK,EX,PT,In-person,CN,M +2020,Data Engineer in office,Data Science,JPY,70888,130909,JP,MI,PT,Remote,IN,L +2022,Statistician ,Engineering,GBP,86195,130842,CN,SE,FL,Hybrid,MX,S +2022,Data Scientist (Remote),Data Science,JPY,114010,109432,CN,MI,FT,In-person,IN,S +2020,Data Analyst in office,Analysis,GBP,128474,71525,CN,EX,FT,Hybrid,UK,M +2022,Data Analyst ,Engineering,GBP,159986,46198,MX,EX,PT,Remote,JP,S +2020,Data Scientist ,,,98345,195596,DE,,PT,Hybrid,IN, +2021,Machine Learning Engineer (Remote),Analysis,us dolars,152617,124187,IN,MI,FL,Remote,MX,M +2020,Machine Learning Engineer (Remote),Engineering,EUR,188002,128172,US,MI,CT,Hybrid,US,M +2021,Data Engineer ,ML/AI,us dolars,89117,129499,IN,EN,CT,Remote,DE,S +2022,Statistician (Remote),Analysis,us dolars,53095,179587,IN,MI,FT,In-person,UK,L +2021,Data Engineer (Remote),ML/AI,EUR,33991,136313,DE,SE,CT,Remote,JP,L +2022,Machine Learning Engineer (Remote),Data Science,INR,53519,52027,US,EX,FT,Hybrid,MX,M +2020,Data Scientist (Remote),,,-56657,43792,UK,,FT,In-person,US, +2022,Data Engineer (Remote),ML/AI,us dolars,30826,111313,CN,SE,FT,Hybrid,IN,M +2020,Data Analyst ,Data Science,us dolars,112049,115330,JP,SE,FL,Hybrid,CN,L +2020,Data Analyst in office,ML/AI,INR,47801,62544,IN,EN,PT,Remote,CN,L +2021,Data Scientist ,Analysis,GBP,190918,115263,DE,MI,CT,Remote,UK,S +2021,Machine Learning Engineer ,Engineering,JPY,69566,143329,DE,EN,FL,Hybrid,IN,M +2021,Data Analyst ,ML/AI,JPY,184229,184737,JP,SE,CT,Remote,DE,M +2021,Data Analyst ,Engineering,INR,189435,61126,JP,MI,FL,Hybrid,UK,L +2022,Statistician ,Engineering,us dolars,160794,180553,MX,EX,CT,Remote,US,M +2022,Data Engineer (Remote),ML/AI,JPY,166208,129637,US,EN,CT,Remote,CN,M +2022,Machine Learning Engineer in office,Data Science,INR,47421,157208,IN,SE,PT,Hybrid,MX,M +2020,Data Engineer (Remote),Analysis,EUR,108027,53549,IN,MI,CT,In-person,JP,S +2022,Machine Learning Engineer in office,Engineering,JPY,37546,66155,JP,SE,FL,Remote,JP,L +2022,Data Analyst ,,,-101439,67481,CN,,CT,Hybrid,DE, +2022,Statistician ,Engineering,us dolars,46406,97967,MX,MI,PT,In-person,JP,S +2021,Data Engineer ,ML/AI,JPY,160209,129320,UK,EN,CT,Remote,JP,M +2022,Data Analyst ,Data Science,INR,39825,112561,IN,EX,FL,Remote,MX,M +2020,Machine Learning Engineer ,,,64173,50446,DE,,CT,Hybrid,DE, +2021,Data Engineer ,Engineering,JPY,85619,38507,CN,SE,PT,Remote,CN,S +2020,Data Engineer ,ML/AI,JPY,113114,155183,JP,MI,PT,Hybrid,US,M +2022,Data Analyst in office,ML/AI,JPY,137071,63208,IN,EX,PT,Hybrid,UK,L +2021,Data Engineer ,Engineering,JPY,168995,47522,US,SE,PT,Remote,CN,S +2020,Statistician ,Engineering,INR,64374,77402,JP,MI,FT,In-person,UK,M +2022,Statistician ,,,-94368,186562,DE,,PT,Remote,DE, +2020,Data Analyst in office,Data Science,GBP,38316,199083,US,EN,CT,In-person,CN,M +2020,Machine Learning Engineer in office,Engineering,INR,40556,196143,MX,EX,CT,Remote,IN,M +2020,Data Analyst ,Engineering,INR,171130,75102,JP,MI,CT,In-person,DE,S +2022,Statistician (Remote),Data Science,us dolars,134554,44040,JP,EX,CT,Remote,DE,L +2022,Data Scientist in office,,,-186554,134254,IN,,FT,In-person,DE, +2020,Data Scientist ,Engineering,EUR,74494,168118,US,SE,FT,In-person,DE,M +2021,Data Engineer in office,Analysis,GBP,186077,66189,MX,EX,FT,Remote,JP,L +2021,Data Engineer (Remote),ML/AI,us dolars,114671,141738,JP,SE,CT,Remote,JP,M +2022,Data Scientist ,Analysis,GBP,62481,113998,CN,EX,FL,Hybrid,CN,M +2022,Statistician in office,Engineering,GBP,58401,116070,DE,SE,FL,In-person,US,M +2022,Data Engineer (Remote),,,-70431,196040,US,,CT,Remote,DE, +2022,Data Analyst in office,Data Science,GBP,94459,182007,CN,SE,PT,Hybrid,UK,M +2022,Data Analyst in office,Data Science,JPY,120473,85581,IN,SE,PT,Remote,IN,L +2021,Statistician ,Engineering,EUR,153311,136531,UK,MI,CT,In-person,JP,M +2022,Data Engineer ,Engineering,EUR,150327,39009,MX,EX,PT,Remote,UK,S +2020,Data Analyst in office,Analysis,EUR,164295,197796,JP,SE,PT,Remote,JP,L +2020,Data Engineer (Remote),Data Science,JPY,70149,140847,UK,EN,FL,Hybrid,CN,M +2021,Data Engineer ,Engineering,JPY,42863,81377,JP,EN,CT,Remote,US,S +2020,Data Analyst in office,,,-133488,98861,CN,,FT,Hybrid,IN, +2021,Data Scientist in office,Engineering,JPY,190636,169771,IN,SE,FL,In-person,JP,S +2021,Data Analyst ,,,-52499,164817,IN,,CT,In-person,IN, +2020,Statistician ,ML/AI,INR,119218,140612,IN,EX,CT,Remote,IN,S +2022,Machine Learning Engineer in office,Data Science,JPY,62132,74837,IN,MI,FL,Hybrid,CN,M +2020,Data Analyst ,ML/AI,JPY,156272,191866,US,EN,PT,In-person,UK,M +2020,Data Engineer in office,Data Science,us dolars,165605,182270,US,EN,PT,Remote,JP,L +2021,Data Engineer (Remote),ML/AI,us dolars,110096,150791,JP,EX,FL,Remote,IN,M +2020,Data Analyst ,Analysis,GBP,195481,174561,US,SE,CT,Remote,CN,M +2021,Machine Learning Engineer ,Data Science,GBP,184059,80557,JP,SE,FT,Remote,DE,L +2022,Data Analyst in office,Engineering,GBP,40633,52474,MX,MI,CT,Remote,MX,L +2022,Machine Learning Engineer ,Analysis,EUR,33996,86439,US,MI,FT,Hybrid,IN,M +2022,Machine Learning Engineer (Remote),Data Science,INR,161086,98213,US,EN,FT,Remote,IN,M +2020,Statistician in office,Data Science,EUR,31674,85296,US,MI,CT,Remote,JP,L +2021,Data Engineer (Remote),Data Science,JPY,198939,195584,MX,EN,CT,Remote,MX,L +2022,Data Engineer (Remote),ML/AI,us dolars,87251,106711,DE,EX,CT,Remote,DE,S +2021,Machine Learning Engineer (Remote),Data Science,JPY,150162,137727,MX,SE,FT,Remote,IN,S +2021,Data Engineer (Remote),Engineering,JPY,178936,31177,IN,SE,PT,Remote,JP,S +2022,Data Scientist in office,Data Science,us dolars,56321,30761,MX,EN,FT,Remote,JP,L +2022,Machine Learning Engineer ,Engineering,JPY,185154,36458,DE,SE,FT,In-person,CN,L +2021,Data Engineer (Remote),Engineering,GBP,70131,84775,US,EX,FT,In-person,MX,L +2022,Data Scientist (Remote),Engineering,us dolars,165282,181182,US,MI,FL,Remote,IN,S +2021,Statistician in office,Analysis,JPY,145663,123789,DE,EX,PT,Hybrid,US,M +2021,Data Engineer (Remote),Engineering,GBP,113605,156048,CN,SE,FT,Remote,US,M +2022,Data Scientist (Remote),ML/AI,GBP,64851,148249,JP,EX,FT,Hybrid,UK,M +2020,Data Analyst (Remote),Data Science,INR,56865,58433,IN,SE,FL,Hybrid,US,L +2022,Data Analyst (Remote),,,113606,102715,MX,,FT,Hybrid,US, +2020,Data Scientist ,Analysis,EUR,165230,44849,JP,MI,PT,Hybrid,JP,M +2021,Machine Learning Engineer (Remote),Data Science,us dolars,151497,99980,CN,MI,FT,Hybrid,JP,L +2021,Machine Learning Engineer in office,Engineering,us dolars,87852,98500,IN,SE,PT,In-person,CN,L +2020,Data Engineer ,Data Science,us dolars,79339,89891,UK,SE,PT,Remote,MX,L +2021,Data Analyst in office,,,131086,89866,IN,,CT,In-person,IN, +2020,Machine Learning Engineer ,Analysis,JPY,50572,153469,MX,EX,FL,In-person,MX,L +2020,Machine Learning Engineer ,ML/AI,EUR,165172,106008,JP,EX,FL,Remote,MX,S +2021,Data Analyst (Remote),Data Science,GBP,111061,33101,IN,EX,FL,In-person,IN,L +2020,Statistician (Remote),Data Science,JPY,48456,56990,UK,MI,CT,Remote,JP,M +2022,Machine Learning Engineer in office,Data Science,GBP,85803,99214,UK,EN,CT,Remote,IN,M +2022,Data Scientist ,ML/AI,GBP,95633,64611,US,SE,PT,Remote,JP,S +2021,Data Engineer ,Analysis,JPY,66232,126265,MX,SE,FL,Remote,MX,L +2021,Machine Learning Engineer (Remote),Engineering,JPY,97323,45958,UK,MI,CT,Hybrid,MX,M +2020,Machine Learning Engineer ,Data Science,EUR,136067,119786,DE,EN,CT,Hybrid,US,M +2020,Statistician (Remote),ML/AI,INR,182860,97002,JP,MI,CT,In-person,IN,L +2020,Data Scientist (Remote),ML/AI,us dolars,46092,79887,DE,EX,PT,Remote,US,S +2020,Data Engineer in office,Engineering,JPY,31132,30339,CN,EX,FT,Remote,UK,L +2022,Machine Learning Engineer (Remote),Analysis,JPY,161024,140083,DE,SE,CT,Remote,CN,L +2022,Data Engineer (Remote),Data Science,GBP,43068,80528,JP,SE,CT,Remote,CN,L +2021,Data Analyst ,Data Science,INR,145729,116639,CN,SE,CT,Hybrid,MX,L +2020,Machine Learning Engineer in office,ML/AI,JPY,106593,112624,DE,SE,FL,Hybrid,MX,L +2020,Machine Learning Engineer in office,Analysis,INR,85041,99260,DE,EX,FL,Hybrid,IN,S +2021,Data Analyst in office,Data Science,us dolars,93372,136493,MX,EX,CT,In-person,MX,M +2020,Statistician (Remote),Engineering,GBP,97562,83570,CN,EN,PT,Remote,JP,L +2020,Machine Learning Engineer in office,Analysis,EUR,122099,51643,DE,SE,FT,Hybrid,CN,M +2020,Data Engineer (Remote),Analysis,us dolars,94046,90252,UK,MI,FL,Hybrid,JP,M +2020,Data Scientist (Remote),ML/AI,INR,158088,121580,JP,EN,FT,Remote,CN,L +2020,Data Engineer (Remote),,,-126458,171406,JP,,CT,Hybrid,UK, +2021,Statistician (Remote),,,168161,128856,JP,,FL,Remote,JP, +2020,Data Scientist in office,ML/AI,INR,46623,131795,DE,SE,FT,Remote,US,L +2021,Data Engineer in office,Analysis,EUR,79641,92977,UK,EN,CT,Hybrid,JP,L +2020,Data Engineer ,Data Science,EUR,42043,30789,JP,SE,FL,In-person,UK,S +2022,Data Analyst in office,Data Science,INR,96572,63941,IN,EX,CT,Remote,DE,L +2022,Statistician ,Analysis,INR,154218,30552,JP,EN,FL,In-person,DE,L +2022,Data Analyst in office,Data Science,EUR,116700,49806,US,EN,FT,Hybrid,US,M +2022,Data Scientist in office,,,-87061,66979,IN,,FT,Remote,DE, +2021,Data Analyst in office,Engineering,JPY,147957,169895,JP,EX,FL,Remote,MX,M +2021,Statistician (Remote),Data Science,GBP,36122,61980,DE,MI,PT,Hybrid,JP,M +2020,Machine Learning Engineer in office,,,-77346,30860,JP,,CT,In-person,UK, +2022,Machine Learning Engineer in office,Engineering,INR,143993,30290,UK,MI,FT,Hybrid,CN,S +2021,Data Scientist ,Data Science,INR,177222,72417,UK,EX,PT,Hybrid,US,S +2020,Machine Learning Engineer in office,Engineering,GBP,117630,109880,JP,EX,FL,Hybrid,DE,L +2020,Data Analyst (Remote),,,107228,166942,MX,,FT,In-person,JP, +2021,Data Scientist in office,Analysis,GBP,42054,63397,DE,MI,FT,Remote,CN,L +2022,Statistician ,Data Science,EUR,31767,135311,DE,MI,CT,Remote,CN,S +2020,Data Scientist in office,Data Science,GBP,34708,46186,DE,MI,PT,Hybrid,JP,S +2022,Data Scientist in office,Data Science,GBP,87999,145162,JP,EN,CT,Hybrid,IN,L +2022,Data Engineer ,,,82158,182088,JP,,FL,In-person,IN, +2022,Data Engineer in office,Data Science,INR,190364,99616,US,EX,FT,Hybrid,MX,S +2020,Data Scientist ,Data Science,EUR,58082,108508,UK,MI,PT,In-person,UK,S +2022,Machine Learning Engineer ,ML/AI,us dolars,64024,97296,MX,EX,CT,In-person,MX,M +2020,Data Engineer (Remote),Analysis,GBP,53461,172346,IN,EN,PT,In-person,MX,L +2022,Statistician (Remote),ML/AI,us dolars,35351,53304,IN,EX,FL,Hybrid,US,M +2020,Data Analyst ,ML/AI,INR,112628,126161,UK,EN,FT,Remote,DE,S +2022,Data Engineer (Remote),Analysis,GBP,134720,44705,CN,SE,PT,In-person,DE,S +2021,Data Scientist (Remote),ML/AI,us dolars,154501,197401,US,MI,FL,Remote,JP,M +2022,Machine Learning Engineer ,,,-140632,82996,UK,,FL,In-person,DE, +2022,Data Analyst in office,ML/AI,us dolars,120577,40607,US,EX,FT,Hybrid,MX,S +2020,Data Engineer in office,,,-156875,60006,CN,,CT,In-person,UK, +2020,Machine Learning Engineer in office,Engineering,EUR,130017,108554,US,EN,FT,In-person,IN,S +2022,Machine Learning Engineer (Remote),,,173849,146196,DE,,FT,Remote,JP, +2021,Machine Learning Engineer (Remote),Analysis,us dolars,169380,181566,UK,MI,PT,Hybrid,US,L +2021,Data Scientist in office,ML/AI,GBP,73441,182309,IN,EN,PT,In-person,JP,M +2020,Statistician ,ML/AI,INR,143682,70963,JP,EN,CT,Hybrid,MX,M +2021,Machine Learning Engineer ,Engineering,us dolars,110865,191613,CN,EX,FL,Remote,DE,S +2022,Data Analyst ,ML/AI,GBP,43882,33447,CN,EN,PT,Hybrid,UK,M +2020,Data Engineer (Remote),ML/AI,GBP,144883,57156,JP,EN,CT,Hybrid,MX,L +2022,Data Analyst in office,Analysis,GBP,165786,197631,UK,MI,FT,Remote,US,M +2020,Data Scientist ,Engineering,GBP,125515,182537,MX,MI,FL,In-person,JP,L +2020,Data Scientist in office,Data Science,us dolars,140625,72120,JP,EX,FT,In-person,DE,M +2020,Data Analyst in office,Engineering,EUR,155934,112753,US,EN,FL,Hybrid,JP,S +2020,Statistician (Remote),Analysis,JPY,178730,40190,JP,EN,PT,In-person,US,M +2021,Data Scientist ,,,-135065,93394,US,,FT,Remote,MX, +2022,Data Scientist (Remote),Analysis,JPY,107027,35335,US,SE,FT,Hybrid,DE,M +2022,Data Analyst in office,ML/AI,EUR,69530,186850,IN,SE,FL,Hybrid,IN,L +2022,Data Scientist in office,Engineering,GBP,169906,179631,JP,EX,CT,In-person,CN,M +2020,Statistician in office,ML/AI,GBP,175430,50557,MX,SE,FL,In-person,US,M +2021,Statistician ,ML/AI,INR,170944,131092,IN,EX,PT,In-person,IN,L +2022,Statistician ,Engineering,JPY,88694,127074,MX,EN,CT,Hybrid,IN,L +2021,Data Engineer ,Analysis,JPY,117193,50575,JP,SE,FT,In-person,DE,M +2020,Statistician in office,Data Science,GBP,153498,102848,MX,MI,FT,Hybrid,JP,L +2022,Statistician in office,Data Science,JPY,46685,143216,US,SE,FT,In-person,MX,L +2021,Data Engineer ,Engineering,GBP,172405,34616,MX,EN,PT,Hybrid,JP,M +2020,Machine Learning Engineer in office,Engineering,GBP,146254,194835,JP,MI,FT,Hybrid,UK,S +2021,Data Scientist in office,Analysis,GBP,172428,63124,CN,EX,FT,Hybrid,US,M +2022,Statistician in office,Engineering,us dolars,70584,163662,CN,EN,CT,In-person,US,M +2022,Data Scientist ,Engineering,us dolars,41344,191942,IN,MI,PT,In-person,MX,S +2020,Data Analyst (Remote),Analysis,us dolars,144491,39534,DE,SE,FT,Remote,DE,M +2020,Data Scientist (Remote),Analysis,us dolars,74619,37921,CN,EX,CT,Hybrid,DE,M +2020,Data Engineer (Remote),ML/AI,EUR,137107,162763,MX,SE,FT,In-person,UK,L +2021,Data Scientist ,Engineering,INR,163015,72042,IN,MI,CT,Remote,UK,M +2021,Data Scientist in office,Data Science,INR,142319,81209,MX,MI,FT,Remote,IN,S +2021,Data Scientist (Remote),Engineering,GBP,182093,83603,DE,EN,PT,In-person,CN,S +2020,Machine Learning Engineer (Remote),Data Science,JPY,38348,74377,UK,EX,FL,Hybrid,UK,L +2022,Machine Learning Engineer ,Data Science,us dolars,177711,69705,IN,EX,PT,Remote,JP,M +2022,Data Analyst in office,Data Science,INR,115030,126492,CN,MI,CT,Remote,IN,M +2021,Data Engineer in office,ML/AI,INR,134565,179836,CN,EN,FT,Hybrid,CN,M +2021,Data Scientist ,Analysis,us dolars,48640,45783,JP,MI,PT,In-person,UK,M +2022,Data Scientist (Remote),Analysis,EUR,65402,38515,DE,MI,FT,Hybrid,CN,S +2022,Data Scientist in office,ML/AI,EUR,95088,163142,CN,EX,PT,Hybrid,JP,S +2021,Data Scientist in office,Analysis,INR,162963,112850,JP,SE,CT,In-person,JP,L +2021,Machine Learning Engineer (Remote),ML/AI,EUR,189331,174843,DE,SE,FL,Remote,IN,M +2022,Data Analyst ,Engineering,us dolars,190059,126776,IN,EX,PT,Hybrid,IN,S +2020,Statistician (Remote),,,160988,94206,IN,,FT,Remote,JP, +2021,Data Engineer in office,Analysis,us dolars,171755,113364,JP,EX,FT,Remote,DE,S +2022,Data Scientist ,Analysis,EUR,39967,140532,IN,EN,FT,Remote,MX,S +2022,Data Analyst (Remote),Engineering,us dolars,107664,148090,JP,EX,CT,In-person,IN,L +2022,Statistician (Remote),ML/AI,EUR,130274,50936,US,EN,CT,Remote,MX,M +2022,Data Analyst ,Engineering,EUR,92661,121618,MX,MI,FL,Hybrid,US,L +2020,Machine Learning Engineer in office,Data Science,us dolars,117738,178977,DE,MI,FT,Hybrid,DE,L +2022,Statistician ,ML/AI,EUR,73452,164170,JP,EN,FL,Hybrid,US,L +2021,Data Analyst ,Engineering,GBP,42857,57020,DE,EX,FT,In-person,CN,L +2020,Machine Learning Engineer in office,Engineering,us dolars,192373,152043,US,MI,PT,Hybrid,CN,L +2022,Data Analyst (Remote),Analysis,GBP,85900,40985,DE,EX,PT,In-person,CN,L +2020,Data Analyst ,ML/AI,us dolars,61460,169355,JP,SE,PT,Remote,UK,L +2021,Statistician ,Data Science,EUR,116923,159100,MX,MI,FT,Remote,IN,M +2022,Machine Learning Engineer (Remote),Data Science,EUR,79800,149635,MX,EX,PT,In-person,IN,L +2021,Data Scientist in office,ML/AI,INR,170904,76323,IN,EX,FT,In-person,JP,M +2022,Data Engineer (Remote),ML/AI,INR,42626,67708,MX,SE,FL,In-person,MX,M +2022,Statistician (Remote),Engineering,GBP,126939,100298,MX,EX,CT,Remote,IN,S +2022,Machine Learning Engineer ,Analysis,EUR,126159,130057,DE,EN,PT,In-person,MX,L +2022,Data Analyst ,Analysis,INR,46802,35054,DE,MI,FT,Remote,CN,M +2022,Machine Learning Engineer in office,Analysis,EUR,46333,149580,CN,EN,FT,Remote,US,S +2020,Data Engineer ,ML/AI,us dolars,65120,101317,CN,SE,FL,Hybrid,DE,S +2022,Data Engineer (Remote),Analysis,INR,123621,93304,US,EN,FL,Remote,UK,L +2022,Data Scientist (Remote),Engineering,GBP,183231,46471,UK,EX,CT,In-person,MX,L +2020,Data Scientist in office,,,-185732,131266,MX,,FL,In-person,MX, +2020,Data Engineer ,ML/AI,EUR,86843,155022,IN,SE,CT,In-person,DE,L +2020,Statistician ,Analysis,JPY,155179,56527,MX,EN,CT,Remote,US,M +2020,Statistician in office,Data Science,JPY,195591,73250,JP,SE,FL,Remote,UK,M +2020,Data Analyst in office,Data Science,EUR,124333,149917,US,EN,CT,Hybrid,MX,L +2020,Data Scientist ,Engineering,us dolars,74935,42029,JP,EN,PT,Hybrid,JP,L +2022,Data Analyst in office,Analysis,INR,52507,71583,JP,EN,CT,In-person,IN,M +2022,Data Scientist (Remote),Analysis,JPY,114271,132061,DE,SE,FT,Remote,IN,L +2021,Data Engineer in office,ML/AI,us dolars,87223,133100,US,SE,FT,In-person,JP,S +2022,Statistician (Remote),ML/AI,EUR,188747,98147,US,MI,FT,In-person,US,M +2022,Statistician (Remote),Analysis,us dolars,143487,169425,CN,EN,FL,In-person,MX,S +2020,Data Engineer (Remote),ML/AI,EUR,47673,73042,IN,EN,FT,Hybrid,JP,S +2020,Data Analyst ,Analysis,INR,139619,123125,UK,EN,FL,In-person,MX,S +2022,Data Analyst (Remote),Engineering,us dolars,65470,106604,JP,EN,FT,Hybrid,CN,S +2021,Machine Learning Engineer in office,ML/AI,INR,71603,85918,MX,EN,CT,Remote,MX,L +2020,Data Scientist (Remote),Analysis,us dolars,192302,152225,IN,EN,FL,In-person,US,L +2022,Data Analyst ,ML/AI,EUR,175614,98882,MX,EN,FT,Hybrid,UK,L +2022,Data Engineer ,Engineering,EUR,91407,66822,CN,MI,CT,Remote,DE,L +2021,Data Analyst ,ML/AI,us dolars,83821,78760,IN,MI,FL,Hybrid,DE,M +2021,Statistician ,Analysis,EUR,65690,34200,JP,EX,CT,In-person,JP,L +2020,Data Scientist in office,ML/AI,GBP,36654,77259,DE,EN,CT,Remote,IN,M +2021,Machine Learning Engineer ,,,-142259,38527,DE,,CT,Remote,JP, +2022,Data Scientist in office,,,-118264,40535,JP,,FL,Remote,IN, +2022,Statistician ,Data Science,GBP,57446,179016,CN,MI,FL,Hybrid,JP,L +2021,Statistician ,ML/AI,GBP,125515,141477,CN,EN,PT,Hybrid,JP,S +2021,Statistician in office,ML/AI,JPY,78484,42438,US,EN,PT,Hybrid,MX,S +2021,Statistician (Remote),Engineering,JPY,74078,94344,UK,MI,PT,Remote,DE,L +2021,Data Engineer in office,Data Science,JPY,144824,150127,MX,MI,PT,In-person,CN,S +2020,Machine Learning Engineer (Remote),Engineering,JPY,34225,100388,DE,EX,FL,In-person,IN,S +2021,Statistician in office,Analysis,EUR,154098,102249,UK,EX,PT,Remote,CN,S +2020,Statistician (Remote),Analysis,INR,104745,91083,IN,EN,FT,In-person,CN,M +2022,Data Analyst ,Engineering,INR,41721,61354,MX,MI,PT,Remote,CN,S +2021,Machine Learning Engineer (Remote),ML/AI,GBP,163659,154365,MX,EX,FT,In-person,DE,S +2020,Data Scientist (Remote),Data Science,INR,138878,179865,MX,EN,FT,In-person,CN,M +2021,Machine Learning Engineer ,Engineering,GBP,69437,198138,IN,EX,CT,In-person,MX,L +2022,Machine Learning Engineer ,Engineering,INR,180061,101135,JP,EX,CT,Hybrid,IN,M +2022,Machine Learning Engineer (Remote),Analysis,us dolars,193798,193843,JP,EX,CT,Hybrid,UK,M +2022,Statistician (Remote),,,-109837,174512,JP,,PT,Remote,CN, +2021,Statistician in office,Data Science,INR,128215,41289,MX,EN,FL,Hybrid,CN,L +2021,Data Engineer ,Engineering,EUR,155437,139344,CN,EX,FT,Remote,UK,M +2020,Data Scientist ,Data Science,GBP,71168,141568,DE,EN,FL,Hybrid,CN,S +2022,Data Analyst ,Data Science,INR,132114,79178,UK,EN,FL,In-person,UK,L +2021,Machine Learning Engineer in office,,,-101616,96500,IN,,PT,Hybrid,US, +2022,Data Scientist in office,Data Science,JPY,168480,147784,UK,EN,FL,Hybrid,DE,L +2022,Data Scientist (Remote),Analysis,INR,165225,79223,DE,EX,FL,Hybrid,DE,S +2020,Data Engineer in office,ML/AI,EUR,154887,199441,MX,EN,CT,Remote,UK,M +2020,Data Analyst in office,ML/AI,JPY,172127,175256,UK,MI,CT,Remote,JP,M +2020,Machine Learning Engineer in office,ML/AI,INR,49760,98483,MX,SE,FT,In-person,DE,M +2020,Data Analyst ,,,47752,149178,UK,,FT,In-person,IN, +2022,Data Engineer (Remote),Analysis,INR,164872,174228,CN,MI,CT,In-person,DE,L +2020,Statistician in office,Analysis,us dolars,96573,163483,JP,EX,PT,Hybrid,DE,M +2020,Data Scientist in office,ML/AI,us dolars,191126,45674,CN,EX,PT,In-person,IN,S +2020,Machine Learning Engineer in office,Data Science,INR,56866,169380,CN,EX,FT,Remote,UK,M +2020,Statistician ,Analysis,INR,30992,138707,MX,EN,CT,In-person,MX,M +2022,Data Engineer (Remote),Engineering,us dolars,53696,98460,UK,SE,PT,In-person,MX,M +2020,Data Analyst (Remote),Analysis,GBP,128697,30576,UK,EX,FL,In-person,UK,M +2022,Data Scientist in office,Engineering,JPY,103541,175713,CN,SE,FT,In-person,IN,L +2021,Machine Learning Engineer (Remote),ML/AI,EUR,82838,128264,UK,MI,FT,In-person,MX,L +2022,Statistician ,Engineering,INR,59400,80907,CN,SE,FL,Remote,DE,L +2022,Statistician in office,Analysis,JPY,112277,114325,US,EX,FL,Hybrid,CN,S +2020,Data Scientist (Remote),Analysis,JPY,148692,69651,CN,SE,FT,In-person,DE,S +2021,Data Analyst in office,Data Science,GBP,47565,123435,IN,MI,FL,Hybrid,UK,M +2021,Data Engineer ,ML/AI,JPY,69585,176730,IN,SE,PT,In-person,CN,S +2021,Data Analyst in office,Engineering,INR,195905,68907,UK,EN,FT,Hybrid,US,S +2021,Data Analyst ,ML/AI,JPY,151559,93917,CN,MI,PT,Remote,UK,S +2022,Data Analyst in office,Analysis,INR,42094,192819,CN,EN,FT,Hybrid,IN,S +2021,Data Scientist in office,Data Science,INR,192352,84936,JP,EN,PT,In-person,CN,L +2022,Data Scientist (Remote),Analysis,us dolars,76647,56178,MX,EX,CT,Hybrid,US,L +2022,Data Engineer (Remote),Analysis,GBP,180585,160614,JP,EX,PT,Hybrid,MX,S +2022,Data Analyst ,,,-161226,129423,JP,,FL,In-person,US, +2021,Data Scientist ,Engineering,us dolars,125798,38000,CN,EX,CT,Hybrid,IN,L +2020,Data Engineer ,Analysis,EUR,189206,169137,CN,SE,FT,In-person,CN,M +2020,Data Engineer (Remote),ML/AI,INR,138050,138407,IN,MI,PT,Remote,JP,L +2021,Data Analyst in office,,,169750,162157,DE,,FT,In-person,UK, +2020,Machine Learning Engineer ,Data Science,JPY,167366,79325,UK,EX,CT,Remote,DE,S +2020,Data Analyst in office,ML/AI,JPY,39574,141868,IN,SE,FL,Hybrid,MX,S +2022,Machine Learning Engineer in office,Analysis,EUR,65183,178694,JP,EN,FL,In-person,CN,L +2022,Data Engineer (Remote),,,-96606,156190,IN,,FL,Hybrid,UK, +2021,Data Scientist (Remote),ML/AI,EUR,179710,93902,IN,EN,FT,Remote,IN,L +2021,Statistician in office,Data Science,GBP,87194,34834,IN,EX,FL,Remote,DE,M +2020,Data Engineer ,Data Science,JPY,56082,115733,JP,EN,FL,Hybrid,JP,S +2022,Data Scientist (Remote),ML/AI,us dolars,177378,42008,DE,EN,FT,In-person,MX,S +2021,Data Engineer in office,Engineering,us dolars,138371,108498,US,EX,FT,In-person,IN,M +2021,Data Analyst (Remote),Engineering,us dolars,157899,77229,UK,MI,CT,In-person,UK,L +2021,Machine Learning Engineer in office,Engineering,JPY,37807,142892,UK,SE,FL,In-person,MX,S +2021,Data Engineer (Remote),Engineering,INR,62143,169084,MX,EX,CT,Remote,US,S +2021,Data Scientist ,ML/AI,JPY,151952,81125,IN,SE,PT,In-person,IN,S +2021,Data Analyst ,Data Science,JPY,88414,115702,DE,SE,PT,Hybrid,IN,S +2020,Statistician (Remote),Analysis,us dolars,54715,114164,JP,EN,PT,Remote,UK,M +2022,Data Analyst (Remote),Analysis,JPY,102934,170921,US,EX,PT,Hybrid,JP,L +2022,Machine Learning Engineer (Remote),ML/AI,us dolars,42202,43767,US,MI,FT,Hybrid,UK,M +2021,Data Analyst ,Analysis,INR,57987,75052,IN,SE,CT,Hybrid,UK,L +2022,Statistician (Remote),Engineering,GBP,196812,129427,IN,SE,CT,Remote,JP,M +2022,Data Scientist ,Data Science,us dolars,106848,160591,JP,MI,FT,In-person,JP,M +2022,Data Engineer (Remote),ML/AI,EUR,174699,182637,MX,SE,PT,Hybrid,IN,L +2021,Machine Learning Engineer (Remote),Data Science,GBP,81069,130547,JP,EX,CT,Hybrid,US,S +2021,Statistician in office,ML/AI,INR,70409,98125,CN,MI,FL,In-person,UK,S +2022,Machine Learning Engineer ,,,-124022,80281,JP,,FT,In-person,US, +2022,Data Analyst (Remote),ML/AI,us dolars,141689,105285,IN,MI,FT,In-person,JP,M +2021,Machine Learning Engineer ,ML/AI,INR,136948,53423,DE,SE,FL,In-person,JP,M +2020,Statistician in office,Data Science,EUR,31611,114693,IN,MI,PT,Hybrid,UK,S +2022,Data Engineer ,Analysis,us dolars,156047,118860,MX,EX,PT,Remote,IN,L +2020,Data Engineer ,ML/AI,us dolars,61657,31706,IN,MI,CT,In-person,MX,S +2022,Machine Learning Engineer ,Engineering,INR,48462,81753,US,SE,FL,In-person,UK,M +2020,Data Scientist ,ML/AI,INR,119299,123755,JP,EN,CT,Hybrid,IN,S +2020,Machine Learning Engineer ,Data Science,GBP,68547,71334,UK,SE,PT,In-person,DE,S +2020,Data Analyst ,ML/AI,EUR,137754,97148,JP,SE,CT,Hybrid,IN,S +2021,Data Engineer ,Engineering,GBP,190135,132601,CN,EN,FL,Hybrid,UK,L +2020,Data Engineer (Remote),,,112273,80627,DE,,FL,Hybrid,UK, +2020,Data Engineer (Remote),ML/AI,us dolars,109397,45546,DE,SE,FL,Hybrid,IN,S +2020,Data Scientist ,,,-82788,104581,JP,,PT,In-person,US, +2022,Data Scientist ,Data Science,us dolars,191356,186371,JP,EX,FT,Remote,IN,M +2020,Statistician (Remote),ML/AI,EUR,117964,73347,IN,EN,FT,In-person,DE,S +2022,Machine Learning Engineer in office,Engineering,GBP,96247,71221,UK,SE,FT,Remote,DE,S +2020,Machine Learning Engineer (Remote),Data Science,EUR,43706,128203,MX,EX,CT,In-person,US,S +2020,Data Analyst in office,ML/AI,INR,40924,45948,IN,SE,FL,Hybrid,DE,S +2021,Data Engineer ,Data Science,INR,45921,55118,US,EN,PT,In-person,UK,M +2022,Data Scientist ,Engineering,JPY,186504,133729,US,EX,FT,Hybrid,US,S +2020,Data Analyst (Remote),ML/AI,EUR,148960,156677,DE,SE,FT,In-person,US,L +2022,Data Analyst (Remote),ML/AI,us dolars,47813,47021,DE,EN,CT,Hybrid,US,S +2022,Data Scientist (Remote),ML/AI,EUR,134748,78215,UK,EX,CT,Remote,CN,L +2021,Machine Learning Engineer ,Engineering,GBP,138988,31223,DE,SE,FT,Hybrid,IN,M +2021,Data Engineer (Remote),Analysis,INR,156078,197182,CN,EN,FL,In-person,IN,S +2021,Machine Learning Engineer (Remote),ML/AI,INR,163140,120162,US,SE,FL,Hybrid,US,L +2021,Data Analyst in office,Engineering,EUR,69927,126453,UK,SE,CT,Remote,MX,L +2021,Data Engineer ,Data Science,EUR,135148,51526,US,SE,CT,Remote,DE,S +2021,Statistician ,Data Science,EUR,60539,68829,JP,MI,FL,In-person,CN,S +2021,Data Analyst ,Engineering,GBP,41683,81862,JP,SE,CT,Hybrid,CN,M +2021,Machine Learning Engineer (Remote),Analysis,GBP,153031,157048,UK,EX,CT,In-person,UK,M +2020,Machine Learning Engineer ,Engineering,us dolars,115151,181408,IN,EN,FL,Hybrid,UK,S +2022,Machine Learning Engineer (Remote),Data Science,EUR,196746,60796,CN,EN,FL,Remote,IN,M +2021,Data Scientist in office,Data Science,us dolars,82703,188239,MX,MI,PT,In-person,JP,M +2021,Data Analyst ,ML/AI,JPY,88810,46818,CN,MI,CT,Remote,US,M +2022,Data Engineer in office,Analysis,GBP,116111,199964,MX,MI,CT,Hybrid,JP,M +2020,Machine Learning Engineer in office,Engineering,INR,115977,54488,DE,SE,PT,Remote,UK,S +2022,Machine Learning Engineer ,Data Science,JPY,172189,199024,MX,SE,CT,Hybrid,MX,S +2022,Data Scientist ,Data Science,INR,33665,113904,UK,EX,CT,In-person,IN,L +2021,Data Engineer (Remote),Data Science,JPY,74390,174295,CN,EN,FT,Hybrid,IN,M +2022,Data Analyst in office,Engineering,us dolars,104884,126931,MX,EN,FT,Hybrid,IN,S +2022,Statistician in office,,,-93887,191333,DE,,FT,In-person,IN, +2021,Data Scientist (Remote),Analysis,GBP,85541,105520,US,EN,PT,In-person,IN,M +2021,Data Analyst ,ML/AI,INR,124319,98334,MX,SE,CT,Remote,US,L +2021,Statistician in office,ML/AI,JPY,37882,168675,IN,MI,PT,Hybrid,CN,M +2021,Machine Learning Engineer (Remote),ML/AI,EUR,100825,141587,DE,SE,PT,Hybrid,JP,S +2022,Machine Learning Engineer in office,Data Science,EUR,43910,107240,JP,EX,CT,Remote,MX,L +2022,Data Engineer in office,ML/AI,GBP,70566,64261,MX,SE,FL,Hybrid,CN,S +2020,Statistician (Remote),Data Science,INR,127519,147367,JP,SE,FL,Hybrid,UK,M +2020,Machine Learning Engineer in office,,,-197248,45707,US,,CT,In-person,UK, +2022,Machine Learning Engineer (Remote),Data Science,GBP,113081,48009,UK,SE,FL,In-person,CN,M +2020,Data Engineer (Remote),Analysis,GBP,191361,82169,DE,EX,FT,In-person,IN,L +2022,Data Analyst in office,Analysis,INR,139337,48231,MX,SE,CT,Remote,IN,L +2020,Machine Learning Engineer in office,ML/AI,EUR,45362,33246,MX,SE,PT,In-person,CN,L +2021,Data Scientist ,ML/AI,EUR,43783,59825,US,MI,FT,Remote,IN,S +2020,Data Scientist ,Data Science,EUR,196821,176997,MX,SE,PT,In-person,CN,L +2021,Data Analyst in office,,,-164626,31316,JP,,FL,Hybrid,MX, +2021,Statistician ,,,-48773,113870,MX,,CT,Hybrid,DE, +2021,Data Engineer ,ML/AI,JPY,191403,126608,MX,EX,FT,In-person,UK,M +2021,Data Scientist (Remote),Engineering,us dolars,75640,144911,JP,EN,CT,In-person,IN,M +2020,Data Scientist in office,Engineering,us dolars,76969,163098,JP,MI,FT,Remote,JP,L +2022,Data Analyst ,,,72986,45289,IN,,FT,Hybrid,DE, +2021,Statistician ,,,132017,132082,IN,,FT,In-person,US, +2020,Statistician ,Data Science,GBP,146180,78886,JP,SE,CT,In-person,MX,M +2021,Data Analyst in office,Analysis,JPY,37585,95020,CN,EN,FT,Hybrid,DE,S +2020,Data Scientist (Remote),Analysis,INR,34122,69279,UK,SE,FT,In-person,DE,L +2020,Data Engineer in office,ML/AI,EUR,46838,136061,IN,EX,CT,Hybrid,MX,L +2020,Data Scientist (Remote),ML/AI,us dolars,178373,115643,DE,EN,PT,In-person,DE,S +2022,Statistician ,,,53107,129827,IN,,FL,Hybrid,JP, +2020,Data Scientist in office,Engineering,GBP,132678,158089,DE,EN,CT,Remote,MX,M +2020,Data Engineer (Remote),ML/AI,INR,96025,188351,IN,MI,CT,In-person,UK,S +2022,Machine Learning Engineer ,Analysis,us dolars,96520,179428,JP,SE,FT,In-person,MX,L +2022,Data Scientist ,Data Science,JPY,47344,95200,MX,EN,CT,In-person,IN,S +2020,Data Analyst in office,Data Science,INR,87202,191115,DE,EN,CT,Remote,JP,L +2022,Machine Learning Engineer (Remote),Engineering,us dolars,130086,125502,MX,SE,FL,In-person,JP,S +2021,Data Analyst ,ML/AI,us dolars,44959,173867,MX,EN,CT,In-person,MX,M +2021,Data Analyst ,ML/AI,EUR,199823,112536,UK,SE,FT,Hybrid,CN,M +2022,Data Analyst ,Data Science,EUR,162941,183230,IN,SE,FL,In-person,IN,M +2022,Data Scientist (Remote),,,74264,49005,IN,,CT,In-person,CN, +2020,Statistician (Remote),ML/AI,EUR,60268,140737,JP,EX,FT,Hybrid,CN,S +2022,Machine Learning Engineer ,Analysis,JPY,114564,114013,DE,EN,FL,Remote,MX,S +2020,Data Engineer (Remote),Data Science,GBP,174622,75176,CN,EN,CT,Remote,DE,L +2021,Statistician ,ML/AI,GBP,166774,145754,JP,EN,FT,Hybrid,CN,S +2022,Data Scientist ,Analysis,EUR,108563,161777,MX,MI,FL,Remote,US,L +2020,Data Analyst (Remote),Data Science,GBP,140164,81510,DE,SE,FT,Remote,DE,S +2020,Data Engineer (Remote),Analysis,INR,54459,76293,IN,SE,FL,In-person,DE,S +2021,Machine Learning Engineer in office,,,86782,148222,IN,,CT,In-person,CN, +2022,Statistician in office,Engineering,INR,167104,156947,IN,MI,PT,In-person,CN,S +2021,Statistician (Remote),Analysis,GBP,31825,74420,IN,EN,FL,Remote,UK,M +2020,Data Engineer (Remote),Engineering,INR,156187,181224,US,SE,CT,In-person,DE,S +2020,Data Scientist (Remote),ML/AI,JPY,90109,127391,IN,EX,FL,Remote,US,L +2022,Machine Learning Engineer (Remote),,,42470,89278,IN,,PT,In-person,JP, +2020,Data Engineer ,Data Science,EUR,33770,90216,CN,MI,FT,Remote,MX,S +2022,Data Analyst ,Engineering,JPY,188340,103699,CN,MI,PT,Hybrid,CN,S +2021,Machine Learning Engineer in office,,,-161101,30209,DE,,PT,Hybrid,DE, +2022,Statistician (Remote),,,191155,165906,MX,,FT,In-person,JP, +2022,Data Engineer in office,Engineering,EUR,38958,192584,IN,EX,PT,Remote,CN,M +2020,Statistician (Remote),Data Science,JPY,143806,92485,IN,SE,CT,Hybrid,UK,M +2020,Statistician (Remote),ML/AI,EUR,38806,99498,DE,EN,FL,Hybrid,MX,M +2022,Statistician (Remote),Engineering,GBP,62162,174100,MX,MI,PT,In-person,CN,L +2020,Data Scientist ,Analysis,INR,104732,81542,IN,EX,FL,In-person,US,S +2020,Statistician in office,Analysis,JPY,195961,182975,IN,EX,FL,Remote,IN,S +2020,Data Analyst (Remote),Engineering,JPY,57702,172789,JP,EN,FT,Hybrid,IN,M +2022,Data Analyst in office,Engineering,us dolars,196849,60545,US,SE,PT,Remote,CN,L +2020,Machine Learning Engineer in office,Engineering,us dolars,37739,65212,DE,SE,FT,Remote,UK,S +2022,Statistician ,ML/AI,us dolars,54599,139079,JP,MI,FT,In-person,US,M +2020,Statistician ,Analysis,EUR,66827,71100,CN,EN,FL,Remote,CN,M +2021,Data Engineer (Remote),,,106821,157215,MX,,CT,Remote,JP, +2020,Data Scientist in office,Analysis,EUR,126683,82016,UK,EN,FL,Hybrid,UK,L +2020,Machine Learning Engineer ,ML/AI,INR,98446,196447,UK,EX,FT,Remote,DE,L +2022,Statistician in office,Data Science,JPY,113890,181392,CN,EN,PT,Hybrid,JP,M +2022,Data Engineer in office,Analysis,EUR,53039,49301,US,SE,CT,Hybrid,CN,L +2020,Data Scientist (Remote),Analysis,EUR,156021,113717,MX,EX,CT,Remote,DE,M +2021,Machine Learning Engineer in office,Data Science,EUR,127367,39168,MX,MI,PT,Remote,DE,S +2020,Machine Learning Engineer ,ML/AI,GBP,73884,98109,UK,EN,PT,Hybrid,MX,M +2020,Statistician (Remote),Data Science,INR,186218,48973,US,SE,CT,Remote,JP,M +2021,Machine Learning Engineer (Remote),Data Science,INR,75819,197123,UK,EX,FT,Hybrid,MX,S +2022,Data Engineer (Remote),Data Science,EUR,113162,123059,UK,SE,CT,Remote,DE,L +2020,Machine Learning Engineer ,,,-192380,129017,MX,,CT,Hybrid,MX, +2022,Data Analyst (Remote),ML/AI,EUR,174126,181023,JP,MI,CT,Hybrid,IN,M +2022,Data Engineer in office,,,109606,192377,MX,,FT,In-person,MX, +2021,Data Scientist (Remote),Data Science,JPY,137789,111115,UK,EN,PT,Remote,JP,S +2021,Data Scientist ,Engineering,GBP,82018,105406,MX,EX,PT,Hybrid,UK,L +2022,Statistician ,Engineering,GBP,56250,39109,CN,SE,PT,Hybrid,IN,S +2020,Statistician (Remote),Engineering,EUR,175485,56842,US,SE,FT,Remote,UK,M +2022,Data Analyst in office,Engineering,JPY,107391,171788,IN,EX,FT,Remote,US,M +2020,Data Scientist ,Analysis,INR,68921,127969,MX,EN,PT,Remote,UK,S +2020,Data Scientist ,ML/AI,us dolars,101123,137055,MX,SE,FL,In-person,JP,S +2021,Data Scientist ,ML/AI,INR,104363,76408,IN,SE,FL,Remote,UK,L +2020,Data Scientist (Remote),,,-186857,138407,IN,,PT,In-person,US, +2020,Machine Learning Engineer ,Analysis,JPY,127400,66530,US,SE,FL,Remote,DE,L +2022,Data Engineer ,Data Science,GBP,126847,140047,US,EX,FL,In-person,JP,L +2021,Data Engineer ,Data Science,INR,36861,89730,IN,EX,PT,Remote,CN,S +2020,Data Analyst (Remote),ML/AI,GBP,106340,105623,CN,EN,PT,In-person,IN,S +2020,Machine Learning Engineer ,Analysis,JPY,175051,107658,UK,EN,FT,Hybrid,IN,L +2021,Data Scientist ,Engineering,JPY,143049,60898,IN,EX,FL,In-person,UK,S +2022,Data Scientist (Remote),ML/AI,EUR,30357,93908,DE,EN,FL,In-person,IN,L +2021,Statistician (Remote),Analysis,us dolars,144604,111377,MX,EX,PT,Hybrid,MX,L +2021,Statistician in office,Analysis,JPY,77201,121118,US,EX,CT,Remote,US,M +2020,Data Analyst ,ML/AI,JPY,112160,87392,DE,EX,PT,Hybrid,CN,L +2020,Data Scientist (Remote),ML/AI,GBP,40796,105578,DE,SE,FT,Hybrid,MX,M +2022,Data Analyst in office,Data Science,JPY,53238,56505,US,EN,CT,Hybrid,IN,S +2020,Machine Learning Engineer ,Data Science,INR,124176,118830,MX,SE,CT,In-person,MX,L +2020,Data Engineer (Remote),Data Science,EUR,70883,167245,IN,EN,CT,Hybrid,UK,L +2021,Data Scientist (Remote),Engineering,EUR,115478,114052,CN,MI,FT,Remote,IN,S +2020,Machine Learning Engineer ,ML/AI,INR,99396,36932,JP,SE,FL,In-person,MX,S +2022,Data Scientist ,Analysis,JPY,34447,113445,DE,SE,PT,In-person,DE,S +2021,Statistician in office,ML/AI,us dolars,50523,191313,IN,SE,FT,Hybrid,DE,L +2022,Data Analyst ,Analysis,JPY,165921,177784,JP,MI,FT,In-person,IN,S +2021,Statistician ,Engineering,EUR,185790,59105,MX,EN,CT,Remote,JP,S +2020,Data Engineer ,ML/AI,us dolars,135471,137083,DE,MI,CT,In-person,CN,M +2021,Statistician (Remote),,,117862,60382,IN,,FT,Hybrid,IN, +2021,Data Scientist in office,Analysis,GBP,90977,117892,DE,EN,FL,Hybrid,DE,L +2020,Statistician in office,Data Science,JPY,118325,49589,IN,EN,CT,Hybrid,DE,S +2020,Data Scientist in office,Engineering,JPY,188207,150829,MX,EN,FT,In-person,US,S +2022,Data Engineer (Remote),ML/AI,us dolars,191334,119452,CN,EN,CT,Hybrid,UK,M +2022,Statistician ,Data Science,us dolars,158422,195438,MX,MI,PT,In-person,US,L +2020,Data Analyst (Remote),Engineering,JPY,64787,164923,UK,SE,PT,Hybrid,JP,S +2020,Data Analyst in office,Data Science,EUR,45689,168654,UK,MI,PT,Hybrid,UK,L +2020,Data Analyst ,ML/AI,GBP,147537,166579,MX,SE,CT,Hybrid,IN,M +2021,Statistician ,Analysis,us dolars,80344,167006,US,SE,CT,Remote,IN,S +2021,Statistician in office,ML/AI,EUR,97891,71971,JP,EX,FL,Remote,JP,M +2021,Statistician ,Engineering,JPY,127464,34659,MX,SE,PT,Hybrid,CN,M +2020,Data Scientist (Remote),ML/AI,INR,95869,34398,MX,MI,FL,Hybrid,DE,M +2022,Data Engineer in office,Engineering,us dolars,196402,36242,DE,EX,FT,In-person,CN,S +2020,Data Analyst (Remote),Data Science,INR,110312,189692,DE,EN,FT,In-person,IN,L +2021,Data Scientist ,Engineering,EUR,57014,171868,IN,EN,PT,Remote,US,S +2021,Data Analyst in office,Analysis,GBP,64563,160014,JP,SE,FL,In-person,DE,M +2020,Data Scientist ,Analysis,EUR,176342,81175,DE,EN,CT,In-person,IN,L +2020,Statistician in office,Analysis,GBP,192351,198347,JP,EN,FL,In-person,DE,M +2021,Data Analyst in office,Data Science,EUR,128557,43937,MX,EX,FT,In-person,CN,S +2021,Statistician in office,Engineering,us dolars,164729,180641,JP,MI,FL,Remote,UK,L +2021,Data Analyst in office,Data Science,us dolars,119422,42343,UK,EN,FT,Remote,IN,S +2020,Machine Learning Engineer in office,ML/AI,INR,137919,86875,DE,EN,FT,In-person,IN,L +2021,Data Scientist ,ML/AI,EUR,162099,76803,DE,MI,FL,In-person,DE,M +2021,Machine Learning Engineer in office,ML/AI,EUR,175271,89937,US,EX,CT,Remote,UK,M +2022,Data Scientist (Remote),ML/AI,INR,146854,107069,JP,EX,FT,Hybrid,US,M +2020,Data Engineer in office,Analysis,JPY,109317,192204,IN,EN,FL,In-person,UK,S +2022,Data Analyst (Remote),Engineering,EUR,45120,192428,UK,SE,FT,Hybrid,US,S +2022,Data Engineer ,Analysis,EUR,119825,45438,MX,MI,PT,In-person,MX,M +2021,Data Engineer in office,Engineering,EUR,35983,187438,US,EX,CT,Remote,MX,M +2020,Data Scientist in office,Engineering,JPY,96629,109504,UK,EN,PT,In-person,JP,L +2021,Machine Learning Engineer (Remote),Data Science,us dolars,100325,47490,IN,EX,FT,Hybrid,CN,L +2020,Statistician in office,ML/AI,INR,163984,180245,US,EN,CT,Remote,UK,S +2022,Data Scientist ,Engineering,JPY,77879,171448,UK,MI,FL,In-person,US,L +2020,Statistician ,ML/AI,GBP,182945,96254,IN,SE,FL,In-person,DE,S +2021,Data Engineer in office,ML/AI,GBP,44332,135380,CN,MI,CT,Remote,US,S +2021,Statistician (Remote),ML/AI,JPY,177636,66763,US,EX,PT,In-person,JP,L +2021,Machine Learning Engineer ,Analysis,JPY,107795,95841,IN,EX,PT,Remote,US,L +2020,Data Scientist in office,ML/AI,us dolars,137716,71347,US,EX,CT,In-person,CN,L +2022,Machine Learning Engineer (Remote),Engineering,GBP,181598,71684,DE,SE,FL,Remote,MX,M +2022,Machine Learning Engineer (Remote),Analysis,INR,116649,60711,DE,MI,CT,In-person,UK,M +2020,Data Scientist ,ML/AI,EUR,177078,44177,UK,EN,PT,Remote,US,L +2021,Machine Learning Engineer in office,Data Science,EUR,51643,185642,JP,MI,FT,Remote,UK,M +2022,Data Analyst ,ML/AI,us dolars,93128,196436,CN,MI,FL,In-person,JP,S +2021,Data Analyst (Remote),ML/AI,us dolars,72523,179891,MX,SE,CT,Remote,US,M +2020,Data Analyst ,Analysis,GBP,100220,155220,JP,MI,FT,In-person,US,M +2021,Statistician in office,Engineering,INR,82784,61391,MX,EX,PT,In-person,JP,M +2022,Machine Learning Engineer ,ML/AI,INR,117893,45788,MX,SE,FL,In-person,CN,S +2022,Data Scientist (Remote),Analysis,JPY,89701,81055,MX,EX,CT,Remote,US,S +2021,Data Scientist ,Analysis,us dolars,179018,144187,IN,EX,PT,In-person,UK,L +2020,Statistician (Remote),Engineering,EUR,174199,148071,US,MI,CT,Remote,CN,M +2021,Data Scientist (Remote),Analysis,EUR,146101,184637,DE,EN,CT,Hybrid,IN,M +2020,Data Analyst (Remote),Engineering,GBP,139002,160101,JP,MI,FL,Hybrid,CN,S +2021,Machine Learning Engineer ,Data Science,EUR,190476,116462,MX,EN,PT,Hybrid,MX,M +2022,Data Scientist in office,ML/AI,INR,47401,43376,DE,SE,PT,In-person,IN,S +2020,Data Scientist (Remote),Analysis,INR,176500,182947,MX,SE,FT,Remote,MX,M +2020,Data Engineer ,Data Science,us dolars,131958,77606,CN,SE,PT,In-person,UK,L +2020,Data Engineer (Remote),,,142046,108393,IN,,PT,Remote,MX, +2022,Data Engineer ,Analysis,EUR,94372,92996,CN,EX,FL,Hybrid,US,S +2021,Machine Learning Engineer (Remote),Data Science,us dolars,41971,31283,CN,SE,FT,Hybrid,UK,S +2022,Data Analyst ,Analysis,JPY,118018,110456,IN,MI,FL,Hybrid,JP,M +2020,Data Analyst (Remote),,,-154768,95783,US,,PT,In-person,UK, +2021,Data Analyst (Remote),Data Science,EUR,46565,126382,CN,EX,FT,In-person,IN,S +2022,Machine Learning Engineer (Remote),Analysis,EUR,36829,102178,JP,MI,FL,Remote,MX,L +2020,Machine Learning Engineer in office,Engineering,EUR,106023,47365,MX,EX,FT,Remote,CN,S +2020,Data Engineer ,,,-196507,142255,IN,,PT,Hybrid,MX, +2022,Data Scientist in office,ML/AI,EUR,111823,179021,IN,EN,FT,In-person,DE,M +2022,Statistician ,Analysis,JPY,68941,146829,MX,MI,FT,In-person,JP,M +2022,Statistician (Remote),ML/AI,EUR,141539,194575,DE,EN,FT,Remote,US,L +2020,Data Scientist ,ML/AI,GBP,39176,156267,UK,EX,PT,Remote,MX,L +2022,Data Engineer ,Analysis,JPY,81516,106387,CN,EN,PT,In-person,CN,M +2020,Data Scientist (Remote),Data Science,GBP,176144,109942,JP,MI,FT,In-person,UK,L +2022,Data Scientist (Remote),Engineering,JPY,127368,176000,US,EN,FL,Remote,JP,L +2020,Statistician (Remote),,,-180761,177904,CN,,FL,In-person,IN, +2020,Data Engineer ,Analysis,JPY,179671,168606,MX,MI,PT,In-person,MX,S +2021,Machine Learning Engineer (Remote),,,-155670,162907,US,,CT,Hybrid,US, +2022,Statistician (Remote),,,-112045,100251,DE,,FL,In-person,UK, +2022,Machine Learning Engineer ,Engineering,GBP,196460,194453,CN,EX,FT,In-person,MX,M +2020,Data Engineer in office,Data Science,JPY,148903,84780,US,EX,CT,In-person,CN,M +2020,Data Scientist ,Analysis,JPY,80603,96412,CN,MI,PT,Remote,UK,M +2020,Data Analyst ,Analysis,INR,104736,170397,IN,MI,FL,Hybrid,US,L +2021,Data Analyst ,Data Science,us dolars,55789,190518,CN,EN,CT,Remote,CN,M +2021,Data Engineer (Remote),Analysis,us dolars,118623,128975,JP,MI,PT,Hybrid,DE,S +2020,Data Analyst ,ML/AI,EUR,82282,159788,CN,MI,PT,Hybrid,DE,S +2022,Machine Learning Engineer in office,Engineering,JPY,63464,90662,US,EX,FT,In-person,JP,L +2022,Data Analyst ,Analysis,JPY,71994,128664,JP,MI,FL,Hybrid,MX,S +2021,Data Engineer ,Data Science,JPY,137309,110249,US,EN,CT,Hybrid,UK,S +2021,Data Engineer (Remote),Engineering,JPY,153189,86525,MX,MI,FT,In-person,JP,M +2020,Machine Learning Engineer (Remote),Analysis,us dolars,121123,171656,MX,MI,FL,In-person,US,S +2022,Data Analyst in office,Engineering,GBP,55594,164973,UK,MI,CT,Hybrid,CN,M +2020,Data Analyst ,Data Science,INR,148406,143094,UK,SE,PT,Remote,JP,M +2021,Data Scientist ,,,-135021,86203,JP,,PT,Hybrid,MX, +2022,Statistician ,ML/AI,GBP,58386,117597,MX,EN,FL,Remote,UK,S +2022,Data Engineer ,Analysis,us dolars,96652,32090,UK,EX,FT,Remote,MX,L +2021,Data Scientist ,ML/AI,INR,124835,187924,UK,EX,CT,Hybrid,DE,L +2020,Data Engineer ,Analysis,JPY,128123,52454,IN,SE,CT,Remote,DE,S +2020,Data Scientist (Remote),Engineering,us dolars,47540,85084,US,EN,PT,Hybrid,US,M +2022,Statistician in office,Analysis,us dolars,143483,127103,UK,EX,FL,Remote,IN,M +2021,Data Scientist ,Analysis,INR,63756,194895,JP,EX,FT,Remote,JP,L +2022,Data Engineer ,Analysis,EUR,166659,193079,IN,MI,PT,Hybrid,US,M +2021,Data Analyst (Remote),ML/AI,us dolars,119792,134560,MX,MI,PT,In-person,DE,L +2020,Data Engineer ,Analysis,GBP,79039,175213,UK,MI,FT,In-person,MX,M +2021,Machine Learning Engineer (Remote),Data Science,GBP,171341,42746,CN,SE,CT,Hybrid,UK,S +2020,Machine Learning Engineer in office,Analysis,JPY,36088,33347,MX,MI,CT,Hybrid,UK,S +2021,Machine Learning Engineer ,Engineering,us dolars,130649,170433,JP,EN,FL,In-person,CN,M +2022,Machine Learning Engineer in office,Data Science,JPY,72044,141972,US,SE,PT,In-person,IN,L +2020,Statistician ,Engineering,us dolars,188153,34101,MX,EX,FL,Remote,IN,S +2022,Data Analyst in office,Engineering,INR,171615,135811,CN,EX,CT,Remote,DE,L +2022,Data Analyst in office,Engineering,us dolars,33005,78095,MX,EN,FT,Remote,IN,S +2020,Data Engineer ,Data Science,EUR,67203,131483,UK,EN,CT,In-person,IN,M +2020,Data Scientist in office,Data Science,GBP,46220,193740,JP,EX,CT,Hybrid,UK,S +2022,Data Engineer (Remote),ML/AI,INR,138991,150902,CN,EN,PT,Remote,CN,M +2022,Data Engineer (Remote),Data Science,GBP,62696,47747,JP,EN,CT,Hybrid,JP,L +2022,Data Engineer in office,Analysis,JPY,76381,176081,DE,EN,FL,In-person,MX,S +2022,Data Engineer in office,Engineering,INR,161148,119187,MX,MI,FT,Remote,UK,L +2020,Data Analyst (Remote),ML/AI,EUR,134056,162128,CN,EX,PT,In-person,CN,L +2020,Data Scientist ,Data Science,GBP,180018,193982,JP,EN,FT,Hybrid,UK,M +2022,Data Engineer (Remote),,,53471,182287,CN,,FL,Remote,DE, +2021,Data Analyst in office,Data Science,us dolars,143298,60375,DE,MI,FL,Hybrid,CN,S +2021,Data Engineer (Remote),,,199810,171148,US,,CT,Hybrid,CN, +2020,Machine Learning Engineer ,,,-124673,146612,US,,FL,Remote,DE, +2022,Data Engineer (Remote),Data Science,EUR,54440,140541,MX,EX,CT,Remote,CN,M +2022,Data Engineer ,Engineering,EUR,41862,196321,IN,EX,PT,In-person,MX,L +2020,Statistician in office,Analysis,EUR,131415,70664,CN,EX,FT,Remote,JP,S +2021,Machine Learning Engineer (Remote),Data Science,GBP,98273,68779,DE,MI,CT,Remote,US,S +2021,Data Scientist (Remote),ML/AI,INR,137848,89312,JP,EX,CT,Remote,IN,S +2021,Data Engineer ,Data Science,us dolars,51788,41414,IN,SE,PT,Remote,CN,M +2020,Data Scientist (Remote),Data Science,GBP,186594,197990,CN,EN,FL,Remote,IN,M +2021,Machine Learning Engineer (Remote),Analysis,EUR,100185,176948,IN,EX,CT,In-person,UK,S +2020,Data Engineer ,Engineering,us dolars,160683,153938,CN,MI,FL,Hybrid,UK,L +2020,Statistician (Remote),ML/AI,INR,168896,39198,MX,EX,CT,In-person,CN,M +2022,Data Analyst ,Engineering,JPY,150824,123302,MX,EX,FL,Hybrid,CN,S +2021,Statistician in office,Engineering,EUR,37799,129524,US,SE,CT,Remote,CN,L +2020,Statistician (Remote),Engineering,EUR,115406,198501,JP,SE,FT,In-person,MX,M +2021,Data Analyst ,Data Science,EUR,75147,133170,DE,MI,FT,Hybrid,MX,M +2021,Data Analyst ,Analysis,EUR,153699,153393,MX,MI,FT,Hybrid,JP,M +2022,Data Analyst (Remote),Data Science,us dolars,38614,146305,US,MI,CT,Remote,CN,S +2021,Data Engineer ,ML/AI,INR,55147,150759,IN,MI,FL,Remote,MX,M +2022,Data Scientist in office,,,106637,100148,UK,,PT,Hybrid,IN, +2020,Data Scientist in office,Engineering,us dolars,136210,138169,MX,EN,PT,In-person,UK,L +2021,Data Analyst (Remote),Analysis,INR,50914,61528,IN,EN,PT,Hybrid,UK,S +2020,Statistician in office,ML/AI,GBP,93699,171355,UK,MI,FT,In-person,MX,L +2021,Machine Learning Engineer (Remote),Data Science,EUR,39615,166025,CN,MI,FT,In-person,CN,M +2020,Data Analyst (Remote),Data Science,INR,80785,155728,US,EN,FT,Hybrid,DE,S +2021,Statistician ,Engineering,EUR,118589,116234,CN,SE,FL,In-person,MX,S +2021,Statistician ,Data Science,INR,109017,89121,DE,EN,FT,Hybrid,US,M +2021,Data Engineer ,Data Science,JPY,76898,52016,JP,MI,FL,Hybrid,CN,S +2021,Data Engineer ,,,157767,174320,MX,,FL,Remote,JP, +2021,Data Scientist (Remote),Analysis,EUR,139418,150184,UK,MI,FL,Hybrid,US,L +2021,Data Scientist ,Data Science,EUR,85505,178348,MX,EX,CT,Hybrid,US,S +2021,Machine Learning Engineer ,ML/AI,us dolars,106031,126544,JP,SE,PT,Remote,CN,S +2021,Machine Learning Engineer in office,,,121818,178427,CN,,FL,Remote,JP, +2021,Machine Learning Engineer (Remote),,,-152952,88451,US,,PT,In-person,MX, +2020,Machine Learning Engineer in office,ML/AI,EUR,30146,51529,US,MI,FL,In-person,IN,L +2022,Statistician in office,Engineering,us dolars,177049,197086,CN,EN,FL,Remote,CN,M +2021,Statistician in office,Data Science,us dolars,195017,150542,CN,SE,FT,Remote,UK,M +2022,Data Scientist ,Engineering,JPY,139822,50096,US,EN,PT,Remote,JP,M +2021,Data Engineer (Remote),ML/AI,INR,32594,125653,DE,SE,FL,Hybrid,UK,L +2021,Data Engineer in office,Analysis,EUR,106610,33417,UK,MI,PT,Hybrid,MX,M +2020,Data Analyst in office,Analysis,INR,188503,101981,JP,EN,FT,Hybrid,MX,L +2020,Statistician (Remote),Data Science,us dolars,152524,100953,IN,SE,FL,Remote,MX,L +2022,Machine Learning Engineer ,Data Science,us dolars,118197,45494,MX,SE,FT,In-person,CN,M +2020,Machine Learning Engineer in office,Analysis,JPY,188643,141670,CN,SE,FL,In-person,MX,M +2020,Data Analyst (Remote),Engineering,GBP,91797,148839,CN,EX,FT,Hybrid,CN,L +2022,Data Engineer ,Data Science,us dolars,73937,174374,MX,SE,FT,Hybrid,DE,L +2020,Machine Learning Engineer ,ML/AI,EUR,147618,85669,US,MI,CT,Remote,US,M +2021,Data Engineer ,Data Science,JPY,90051,197499,JP,MI,FL,Remote,DE,M +2022,Data Analyst ,Engineering,GBP,107903,88263,JP,MI,FL,In-person,MX,M +2022,Data Engineer ,Data Science,JPY,106990,70274,DE,SE,FL,In-person,US,L +2021,Data Engineer (Remote),ML/AI,us dolars,105204,149240,UK,MI,PT,Remote,MX,L +2020,Data Engineer ,ML/AI,GBP,98951,189875,DE,SE,CT,In-person,MX,L +2022,Machine Learning Engineer in office,ML/AI,INR,127309,190236,DE,SE,PT,In-person,IN,M +2022,Data Scientist (Remote),Engineering,GBP,155341,68441,JP,SE,FL,Hybrid,JP,S +2021,Statistician in office,Engineering,EUR,156822,93327,UK,EX,CT,Remote,IN,S +2021,Data Engineer in office,ML/AI,INR,190111,130461,UK,EN,FT,Remote,US,S +2020,Data Engineer ,ML/AI,INR,145694,129099,UK,MI,CT,Remote,CN,S +2022,Data Engineer ,Engineering,EUR,186640,106925,MX,EX,FT,Hybrid,MX,S +2020,Data Scientist (Remote),Engineering,INR,67459,81035,US,MI,FL,Remote,DE,L +2020,Data Analyst (Remote),Engineering,us dolars,168741,139863,UK,EX,FL,In-person,MX,M +2021,Machine Learning Engineer in office,Analysis,GBP,114985,43490,JP,EN,FT,Hybrid,US,M +2022,Data Scientist ,Engineering,GBP,196588,36044,MX,EN,CT,Hybrid,MX,M +2022,Data Engineer ,ML/AI,EUR,184405,57509,US,EN,PT,Remote,CN,M +2022,Data Scientist in office,,,-118295,57844,IN,,CT,In-person,IN, +2021,Data Scientist ,Engineering,INR,77941,92212,CN,SE,FT,Remote,CN,S +2021,Data Scientist (Remote),ML/AI,GBP,139903,182676,DE,MI,FT,In-person,CN,M +2021,Data Analyst in office,Data Science,GBP,68875,188632,UK,MI,PT,Remote,IN,M +2021,Statistician ,Analysis,GBP,158975,162278,IN,MI,PT,In-person,DE,S +2021,Machine Learning Engineer in office,ML/AI,GBP,173770,144587,UK,SE,PT,In-person,MX,M +2022,Data Analyst ,Data Science,JPY,126500,108632,DE,MI,FT,In-person,CN,S +2020,Data Analyst ,ML/AI,EUR,91826,190622,JP,EN,FL,Hybrid,DE,S +2022,Statistician ,Engineering,INR,192480,82232,JP,MI,CT,Remote,CN,L +2020,Data Analyst (Remote),Engineering,INR,154628,65228,DE,MI,PT,Remote,CN,M +2021,Data Scientist in office,Data Science,EUR,108845,115925,IN,EX,FT,Remote,IN,M +2020,Data Scientist (Remote),Engineering,us dolars,130965,67693,US,SE,CT,Hybrid,US,M +2022,Data Engineer (Remote),ML/AI,EUR,176205,114533,CN,EN,PT,In-person,MX,S +2022,Data Analyst in office,Data Science,GBP,150853,130019,CN,EN,FL,Hybrid,US,L +2020,Data Engineer in office,ML/AI,GBP,197198,117165,CN,EN,CT,Hybrid,JP,M +2021,Machine Learning Engineer ,ML/AI,EUR,63043,64337,US,MI,CT,In-person,IN,S +2021,Data Scientist ,ML/AI,EUR,165150,47060,UK,EN,FT,Remote,JP,S +2022,Machine Learning Engineer in office,Engineering,INR,83906,196353,DE,EN,FT,Hybrid,CN,S +2020,Statistician ,Engineering,INR,41137,78993,DE,EX,FT,In-person,IN,S +2021,Data Scientist ,ML/AI,JPY,59350,109459,US,MI,FL,In-person,JP,L +2021,Machine Learning Engineer in office,Analysis,JPY,34698,195871,IN,EX,CT,Remote,UK,L +2022,Statistician (Remote),ML/AI,GBP,160119,137606,CN,SE,PT,In-person,US,S +2021,Machine Learning Engineer in office,ML/AI,JPY,194204,145600,MX,MI,FL,In-person,US,M +2020,Statistician in office,Data Science,JPY,40165,35322,DE,EX,PT,In-person,UK,L +2022,Statistician (Remote),ML/AI,us dolars,161866,68438,JP,SE,PT,Remote,DE,M +2022,Data Scientist ,Engineering,EUR,174718,109369,JP,EX,FT,Remote,UK,M +2020,Data Engineer (Remote),,,-166942,48134,MX,,PT,In-person,MX, +2022,Statistician (Remote),Analysis,JPY,128893,37575,DE,EN,PT,In-person,US,M +2021,Statistician in office,Data Science,INR,60736,106899,CN,EN,FL,Remote,MX,L +2021,Data Scientist ,,,88084,118307,CN,,FT,Remote,IN, +2020,Data Engineer ,Data Science,JPY,46211,124265,CN,EX,PT,Remote,JP,M +2021,Data Analyst (Remote),Data Science,GBP,116665,196852,IN,EX,PT,Hybrid,US,M +2020,Data Analyst in office,Analysis,us dolars,168449,49812,JP,SE,PT,Remote,MX,S +2020,Data Engineer (Remote),Engineering,EUR,169933,74522,IN,MI,CT,In-person,UK,L +2021,Machine Learning Engineer ,Engineering,EUR,178893,118383,US,EN,CT,Remote,IN,M +2020,Data Scientist ,Engineering,GBP,108488,54932,UK,EX,FT,In-person,US,L +2021,Data Engineer in office,Data Science,GBP,188025,78966,CN,SE,FL,In-person,UK,S +2022,Data Analyst in office,ML/AI,EUR,157870,75580,US,EN,FT,In-person,MX,S +2022,Statistician (Remote),Data Science,EUR,66801,138113,UK,EN,CT,Remote,US,S +2020,Data Analyst in office,ML/AI,us dolars,48277,56199,MX,EN,FT,Remote,UK,S +2021,Statistician (Remote),ML/AI,JPY,113762,133528,JP,SE,FL,Remote,CN,S +2021,Data Scientist in office,Engineering,us dolars,183700,174909,UK,SE,FT,Remote,UK,S +2022,Statistician (Remote),ML/AI,EUR,112246,42688,UK,EN,PT,Remote,US,S +2022,Data Engineer ,Data Science,JPY,159350,170859,DE,SE,FL,Hybrid,IN,S +2021,Statistician ,Data Science,EUR,57802,195829,UK,EN,FL,Remote,US,L +2020,Machine Learning Engineer ,Engineering,us dolars,152794,120640,DE,EN,FL,Hybrid,US,M +2022,Data Engineer ,Analysis,us dolars,189749,90539,UK,EN,FT,In-person,CN,L +2020,Data Scientist ,Data Science,us dolars,168572,161135,DE,SE,FT,In-person,IN,L +2020,Data Engineer ,ML/AI,JPY,34015,107688,JP,MI,PT,In-person,CN,M +2022,Machine Learning Engineer in office,Data Science,INR,160305,114732,JP,MI,FL,In-person,US,M +2020,Data Scientist in office,Data Science,INR,88812,176031,UK,SE,PT,Hybrid,CN,S +2020,Data Analyst in office,Data Science,EUR,37826,192352,MX,EX,FL,Hybrid,JP,M +2021,Machine Learning Engineer (Remote),Analysis,JPY,39201,188539,MX,SE,CT,In-person,JP,L +2020,Data Scientist in office,ML/AI,GBP,59048,177128,IN,EX,FT,Remote,JP,S +2021,Statistician in office,Engineering,INR,151471,33135,MX,EN,PT,In-person,UK,L +2022,Data Engineer (Remote),Data Science,JPY,49941,47564,JP,EX,FT,In-person,DE,M +2022,Data Scientist (Remote),ML/AI,JPY,110641,93258,US,EN,FT,Hybrid,MX,L +2021,Data Engineer ,ML/AI,INR,88418,133813,MX,MI,CT,In-person,CN,L +2022,Statistician in office,Engineering,JPY,71541,57462,US,EN,CT,Hybrid,US,S +2020,Data Scientist in office,Data Science,JPY,100422,86682,DE,EX,FL,Hybrid,DE,S +2020,Data Analyst (Remote),Analysis,INR,148069,32728,IN,MI,CT,In-person,CN,L +2020,Machine Learning Engineer ,ML/AI,us dolars,185022,168703,CN,MI,FL,Remote,JP,M +2022,Data Scientist in office,Engineering,EUR,150965,171956,DE,SE,CT,Hybrid,MX,S +2020,Statistician (Remote),Analysis,GBP,181714,54974,UK,EX,CT,Hybrid,IN,L +2022,Data Scientist (Remote),ML/AI,EUR,71607,145092,MX,EX,PT,Hybrid,JP,S +2020,Data Engineer in office,Data Science,us dolars,192360,131177,JP,SE,CT,In-person,MX,S +2021,Data Scientist (Remote),ML/AI,us dolars,142117,143795,IN,SE,PT,In-person,US,M +2022,Data Analyst (Remote),Analysis,JPY,112865,197108,DE,MI,CT,Hybrid,DE,L +2022,Data Scientist in office,Analysis,EUR,44450,114614,DE,SE,PT,Remote,DE,L +2020,Machine Learning Engineer ,Data Science,us dolars,35618,171346,US,MI,FT,In-person,CN,L +2022,Data Scientist in office,,,195335,179923,UK,,FL,Remote,UK, +2022,Data Engineer ,Engineering,us dolars,97583,91816,DE,SE,CT,Remote,IN,L +2021,Data Scientist (Remote),,,104900,78526,US,,PT,In-person,MX, +2021,Data Analyst in office,,,-58794,83467,IN,,CT,Hybrid,JP, +2020,Statistician in office,,,-43091,146609,DE,,PT,Remote,MX, +2021,Data Scientist ,Analysis,JPY,45161,154420,CN,EN,PT,Hybrid,MX,S +2020,Data Scientist (Remote),ML/AI,EUR,165230,109430,CN,EX,CT,Remote,IN,M +2020,Machine Learning Engineer in office,ML/AI,INR,153612,56965,US,MI,FL,Hybrid,US,M +2020,Data Analyst in office,Engineering,EUR,57663,191630,CN,MI,PT,In-person,UK,L +2022,Statistician (Remote),Data Science,GBP,167805,89807,UK,EN,FT,Remote,JP,M +2021,Data Engineer ,Data Science,GBP,129961,82520,JP,MI,CT,Remote,US,S +2020,Data Scientist in office,,,193073,160030,CN,,FT,Remote,IN, +2021,Statistician (Remote),Analysis,us dolars,170401,128983,IN,EX,PT,Hybrid,UK,S +2020,Data Engineer in office,Engineering,GBP,83105,152194,DE,EN,PT,Remote,JP,S +2021,Data Analyst in office,Analysis,EUR,93436,112667,US,MI,CT,Remote,IN,S +2021,Data Analyst in office,Analysis,JPY,158379,178777,DE,EX,FL,Hybrid,JP,L +2020,Statistician ,Data Science,GBP,160705,159335,JP,SE,FT,Hybrid,MX,L +2022,Data Engineer (Remote),Engineering,EUR,122635,75110,DE,EN,FL,In-person,UK,S +2021,Data Analyst in office,Analysis,us dolars,99579,161032,DE,EX,FT,Hybrid,UK,L +2022,Statistician in office,ML/AI,us dolars,44242,34789,US,SE,FL,Remote,IN,M +2022,Data Analyst in office,ML/AI,JPY,128901,30533,JP,MI,CT,Remote,JP,M +2020,Data Analyst ,Data Science,JPY,155056,80970,IN,MI,FT,In-person,DE,S +2020,Data Analyst in office,ML/AI,EUR,188205,58776,US,SE,CT,In-person,US,L +2020,Machine Learning Engineer (Remote),ML/AI,JPY,185812,48725,MX,EX,FL,Remote,UK,S +2021,Data Engineer ,Analysis,JPY,130628,94367,JP,MI,FL,Hybrid,JP,L +2020,Statistician (Remote),ML/AI,us dolars,60976,102230,JP,MI,FL,Remote,IN,S +2020,Statistician in office,ML/AI,EUR,41231,100542,DE,EX,CT,In-person,MX,S +2021,Data Engineer in office,Analysis,JPY,164400,122534,UK,EX,PT,Remote,IN,S +2021,Data Engineer ,Data Science,EUR,55261,132849,UK,SE,PT,Remote,UK,M +2020,Data Engineer in office,Data Science,GBP,55262,125623,IN,MI,FT,Remote,CN,L +2020,Data Engineer (Remote),Engineering,us dolars,164352,133211,DE,EX,CT,In-person,UK,L +2020,Data Scientist (Remote),ML/AI,us dolars,192814,34485,UK,EN,CT,In-person,MX,M +2020,Statistician (Remote),Analysis,us dolars,33590,96771,US,SE,CT,In-person,CN,M +2022,Data Scientist in office,Engineering,INR,146726,127519,IN,SE,FL,Hybrid,DE,L +2022,Data Analyst in office,Data Science,EUR,117542,96681,DE,SE,CT,In-person,IN,L +2020,Data Analyst ,Data Science,GBP,43570,184876,CN,SE,PT,Hybrid,JP,S +2022,Statistician ,Analysis,JPY,39533,31475,US,EN,FT,Hybrid,CN,S +2021,Data Analyst (Remote),Engineering,GBP,155890,156803,UK,SE,PT,In-person,US,L +2022,Data Engineer (Remote),Engineering,EUR,174438,82073,UK,SE,CT,Hybrid,US,L +2022,Data Scientist ,Analysis,us dolars,143819,40047,UK,EX,FT,Hybrid,DE,S +2020,Data Engineer ,Analysis,INR,106368,156104,UK,MI,FT,Remote,CN,M +2022,Data Analyst (Remote),Engineering,EUR,189397,125957,JP,SE,CT,Hybrid,CN,L +2022,Data Scientist ,Data Science,EUR,64798,123491,CN,EX,CT,Hybrid,JP,L +2022,Data Engineer in office,ML/AI,JPY,52849,117599,IN,EX,PT,In-person,US,M +2022,Statistician in office,Data Science,GBP,167229,78444,IN,MI,PT,Remote,US,M +2021,Data Engineer ,Analysis,GBP,141972,182871,UK,EX,FL,Hybrid,MX,M +2020,Data Analyst ,Engineering,JPY,191250,116858,IN,EX,FL,Hybrid,JP,L +2020,Data Scientist in office,Engineering,INR,59030,141897,CN,SE,FL,Hybrid,MX,L +2021,Statistician in office,ML/AI,us dolars,156026,133351,US,SE,CT,In-person,CN,L +2022,Data Scientist (Remote),Engineering,us dolars,150398,87895,US,EX,CT,In-person,JP,S +2021,Statistician ,ML/AI,INR,95729,138500,MX,EN,FL,Remote,UK,M +2022,Data Scientist in office,Data Science,JPY,38164,92559,IN,MI,FL,Hybrid,US,M +2021,Data Analyst ,Data Science,EUR,31119,185075,UK,EX,PT,Remote,CN,S +2020,Statistician in office,Engineering,GBP,43351,183573,DE,EX,FL,In-person,US,S +2020,Machine Learning Engineer in office,Engineering,EUR,102076,61092,CN,EN,FL,Hybrid,MX,S +2020,Data Scientist ,Analysis,GBP,75162,59768,UK,MI,FT,Hybrid,DE,S +2022,Data Scientist (Remote),Analysis,EUR,61760,64604,JP,EX,FL,Remote,UK,M +2022,Data Engineer in office,,,119074,117824,DE,,FT,Hybrid,UK, +2021,Statistician ,Engineering,JPY,149567,76760,CN,SE,FL,In-person,US,S +2021,Machine Learning Engineer in office,Data Science,INR,59738,36476,JP,EX,FT,Remote,IN,M +2020,Data Analyst ,Engineering,EUR,76921,159416,IN,EN,FL,Remote,IN,M +2022,Data Engineer ,Analysis,EUR,152448,128138,JP,EX,PT,Hybrid,MX,M +2021,Machine Learning Engineer in office,,,-91068,137620,IN,,CT,In-person,JP, +2022,Statistician (Remote),ML/AI,INR,53581,146070,JP,MI,FT,Hybrid,UK,L +2022,Machine Learning Engineer in office,Analysis,JPY,125672,105498,DE,EN,CT,Remote,US,L +2020,Data Scientist in office,Analysis,JPY,51485,58439,JP,EX,PT,Remote,MX,L +2020,Data Scientist (Remote),Data Science,EUR,66294,33400,UK,EX,FL,In-person,MX,L +2022,Data Engineer (Remote),ML/AI,JPY,83001,119976,IN,EX,FL,Remote,CN,M +2022,Statistician ,Analysis,JPY,162706,159418,US,EX,PT,In-person,US,L +2022,Statistician ,Engineering,EUR,73969,54610,JP,EX,CT,Hybrid,US,S +2022,Machine Learning Engineer (Remote),Analysis,INR,30093,81356,IN,MI,CT,In-person,MX,S +2020,Data Engineer (Remote),Data Science,EUR,58370,190647,US,SE,CT,Hybrid,CN,S +2021,Statistician in office,Data Science,us dolars,49750,49728,IN,MI,CT,Hybrid,CN,L +2020,Data Scientist (Remote),Data Science,EUR,46472,147702,MX,SE,FT,Remote,DE,L +2021,Machine Learning Engineer in office,Analysis,us dolars,48934,59067,IN,MI,CT,Hybrid,IN,S +2022,Data Analyst in office,,,-69125,75262,US,,FT,Remote,DE, +2021,Data Scientist in office,Engineering,us dolars,69103,31628,US,EX,PT,In-person,US,M +2020,Data Engineer (Remote),Data Science,us dolars,118705,135068,DE,SE,FL,In-person,US,L +2020,Statistician (Remote),ML/AI,EUR,86543,105057,CN,MI,FT,Hybrid,UK,S +2022,Data Scientist in office,Engineering,JPY,178010,134049,MX,SE,CT,In-person,UK,S +2020,Data Analyst (Remote),Data Science,GBP,107492,186452,JP,EX,FL,Hybrid,IN,L +2022,Data Analyst ,Engineering,JPY,88024,89853,JP,EN,FT,In-person,CN,L +2020,Data Engineer ,Engineering,us dolars,56207,189995,MX,EX,FL,Hybrid,JP,S +2020,Data Scientist in office,ML/AI,EUR,79354,64058,IN,MI,PT,Hybrid,US,S +2022,Machine Learning Engineer (Remote),Engineering,EUR,198382,86162,MX,MI,CT,In-person,UK,L +2021,Data Scientist ,Data Science,EUR,78960,124416,UK,SE,PT,In-person,IN,L +2020,Data Analyst in office,ML/AI,EUR,91262,180042,UK,EN,FL,In-person,DE,S +2021,Data Engineer ,Analysis,GBP,127155,68891,CN,EN,PT,In-person,US,S +2020,Data Engineer in office,Analysis,INR,174475,166002,IN,MI,CT,Hybrid,JP,S +2020,Machine Learning Engineer in office,ML/AI,us dolars,174137,196390,DE,SE,FT,Hybrid,IN,S +2020,Data Engineer in office,Analysis,GBP,187873,80107,US,EX,PT,In-person,CN,S +2020,Data Engineer ,Engineering,JPY,138182,91953,IN,EX,CT,In-person,JP,S +2021,Data Engineer in office,Data Science,INR,129132,138433,JP,MI,FL,Remote,US,S +2021,Data Engineer in office,Engineering,INR,190302,79108,UK,MI,PT,Hybrid,IN,L +2020,Data Engineer ,ML/AI,EUR,102706,62574,UK,EX,FT,Hybrid,CN,M +2020,Data Analyst in office,Data Science,GBP,59968,135287,UK,EX,PT,In-person,MX,M +2021,Data Scientist ,ML/AI,JPY,72517,170929,DE,EX,FL,Remote,MX,L +2022,Statistician in office,ML/AI,EUR,193727,184585,JP,SE,FL,In-person,UK,M +2022,Data Engineer (Remote),ML/AI,EUR,159282,130434,DE,EN,FL,Hybrid,JP,L +2021,Statistician (Remote),Engineering,us dolars,75984,53593,US,MI,PT,Hybrid,DE,L +2020,Statistician ,Data Science,INR,172121,118219,IN,MI,PT,Remote,DE,L +2020,Data Analyst in office,Data Science,JPY,102321,132044,IN,SE,PT,In-person,MX,L +2022,Data Engineer ,Data Science,INR,151854,179956,MX,EX,FT,Remote,JP,M +2022,Statistician in office,Engineering,GBP,165727,88986,UK,SE,CT,In-person,US,L +2021,Data Engineer ,Analysis,us dolars,120638,166379,MX,EX,PT,Remote,US,S +2022,Machine Learning Engineer (Remote),Engineering,EUR,98972,42904,UK,MI,FT,In-person,US,L +2021,Machine Learning Engineer ,Engineering,us dolars,51432,135071,US,EN,FL,In-person,MX,M +2022,Machine Learning Engineer (Remote),ML/AI,EUR,95896,124714,DE,SE,PT,In-person,DE,M +2022,Statistician (Remote),Data Science,us dolars,135035,174654,CN,EX,PT,Hybrid,DE,M +2022,Machine Learning Engineer (Remote),Data Science,EUR,43750,87965,CN,MI,PT,In-person,UK,M +2020,Data Analyst ,Analysis,INR,57987,131448,CN,EN,FT,Hybrid,US,S +2020,Data Analyst ,Analysis,INR,132995,169097,JP,SE,PT,Remote,DE,L +2020,Statistician (Remote),ML/AI,INR,56165,114724,US,SE,PT,In-person,DE,S +2022,Data Engineer ,Data Science,INR,54346,37604,IN,MI,CT,Hybrid,US,L +2021,Data Scientist in office,Analysis,us dolars,33514,188362,IN,SE,FT,Remote,US,L +2021,Data Engineer (Remote),Analysis,EUR,54838,37871,DE,MI,CT,In-person,DE,S +2021,Data Engineer in office,Data Science,INR,57559,132318,MX,SE,CT,Remote,CN,S +2021,Data Engineer (Remote),Engineering,us dolars,131223,106981,US,EN,CT,Hybrid,JP,M +2020,Data Engineer in office,Analysis,EUR,89207,106574,JP,EN,CT,Hybrid,DE,L +2020,Data Scientist (Remote),Data Science,us dolars,46385,141376,US,SE,FL,In-person,UK,L +2022,Machine Learning Engineer (Remote),Analysis,INR,179389,141358,US,MI,PT,Hybrid,IN,L +2022,Data Engineer (Remote),ML/AI,GBP,161465,164577,DE,EX,CT,Hybrid,CN,L +2021,Data Analyst ,Analysis,us dolars,54881,114605,JP,SE,FT,Remote,US,L +2020,Statistician in office,Data Science,INR,141761,175490,CN,EX,PT,In-person,MX,L +2021,Statistician (Remote),Analysis,JPY,189027,46411,IN,MI,CT,In-person,UK,M +2022,Data Analyst ,ML/AI,EUR,88308,128569,UK,EX,CT,In-person,JP,L +2022,Data Engineer (Remote),ML/AI,INR,140515,39498,MX,SE,FT,Remote,MX,M +2021,Data Scientist in office,Analysis,JPY,102031,86257,CN,EN,FL,Hybrid,IN,L +2022,Machine Learning Engineer (Remote),,,-135257,116995,JP,,FT,In-person,CN, +2021,Statistician ,ML/AI,us dolars,116973,183275,IN,EN,FL,In-person,DE,S +2020,Machine Learning Engineer (Remote),ML/AI,JPY,89596,123566,CN,EN,FL,Remote,US,L +2021,Data Scientist (Remote),Engineering,JPY,162785,145498,DE,EN,FL,Remote,DE,S +2020,Statistician (Remote),Engineering,EUR,50428,116596,MX,SE,CT,In-person,UK,S +2020,Machine Learning Engineer (Remote),ML/AI,us dolars,92160,76917,JP,MI,CT,In-person,MX,S +2022,Data Scientist ,Analysis,JPY,110729,155154,JP,EX,FL,Remote,MX,M +2022,Machine Learning Engineer (Remote),Data Science,GBP,90843,50930,IN,EN,FL,Remote,US,S +2022,Data Engineer in office,Analysis,GBP,184075,109029,IN,EX,CT,Remote,DE,S +2021,Data Scientist in office,Analysis,JPY,110169,43638,US,MI,FL,Remote,MX,S +2021,Machine Learning Engineer (Remote),Engineering,EUR,124764,35724,US,MI,CT,Hybrid,US,L +2022,Data Engineer ,,,56730,95738,JP,,FL,Hybrid,UK, +2021,Data Engineer in office,Engineering,GBP,144082,128705,UK,EX,CT,In-person,DE,M +2022,Data Scientist (Remote),ML/AI,JPY,102981,163099,DE,EN,FT,Hybrid,IN,M +2021,Data Analyst (Remote),,,-95573,175879,IN,,FL,Remote,MX, +2020,Statistician ,Analysis,INR,189941,123962,US,EX,FL,In-person,JP,L +2020,Data Scientist (Remote),Analysis,JPY,61076,93109,DE,SE,FT,Remote,DE,S +2022,Data Engineer ,Data Science,EUR,156283,71849,MX,EN,PT,Hybrid,US,L +2021,Data Engineer in office,Analysis,GBP,55094,30178,CN,EN,FL,Remote,CN,M +2021,Data Scientist (Remote),Analysis,INR,187889,35817,CN,MI,PT,In-person,DE,L +2020,Data Analyst ,Engineering,GBP,40555,102721,JP,EX,FT,Hybrid,US,L +2020,Statistician (Remote),Engineering,GBP,100656,155762,IN,SE,FL,In-person,MX,M +2022,Machine Learning Engineer (Remote),Engineering,EUR,158061,33984,CN,MI,PT,Hybrid,CN,S +2020,Data Scientist in office,Engineering,JPY,151432,94096,MX,SE,FL,Remote,UK,L +2022,Statistician (Remote),Engineering,EUR,165787,116941,IN,EN,FL,In-person,CN,M +2020,Statistician ,Data Science,JPY,160694,117432,US,EX,CT,Hybrid,JP,L +2020,Data Engineer ,Data Science,INR,64162,175707,CN,SE,PT,Hybrid,US,L +2021,Machine Learning Engineer ,Data Science,EUR,131173,139914,UK,MI,CT,Hybrid,DE,L +2020,Data Scientist (Remote),Engineering,EUR,127858,192414,CN,EN,CT,Hybrid,MX,S +2020,Data Engineer (Remote),,,131980,84680,IN,,PT,Remote,CN, +2022,Data Engineer in office,Engineering,EUR,156652,140326,UK,SE,PT,Remote,UK,L +2020,Data Analyst (Remote),Engineering,us dolars,68458,159094,DE,MI,CT,Hybrid,CN,S +2022,Statistician ,Data Science,JPY,134122,37988,CN,SE,FL,Remote,IN,L +2020,Data Scientist ,Engineering,JPY,128538,62070,IN,EN,FL,Remote,DE,L +2020,Data Scientist in office,,,164212,127491,CN,,FT,Hybrid,JP, +2022,Data Scientist ,Engineering,us dolars,141201,108132,CN,EX,FL,Remote,UK,M +2021,Data Engineer ,Analysis,JPY,178455,53659,IN,EX,PT,In-person,DE,L +2022,Data Analyst ,ML/AI,GBP,178790,105952,UK,MI,PT,In-person,US,M +2022,Machine Learning Engineer in office,ML/AI,EUR,117008,180243,US,EX,FT,Remote,US,M +2022,Data Engineer in office,Data Science,us dolars,182935,83778,MX,EX,PT,Hybrid,US,M +2021,Machine Learning Engineer ,Analysis,JPY,41377,128113,CN,SE,CT,In-person,DE,S +2020,Data Analyst ,ML/AI,GBP,113031,52736,JP,EN,FT,Remote,JP,S +2022,Statistician (Remote),Data Science,EUR,154403,87781,DE,EN,FT,Remote,US,L +2022,Data Scientist (Remote),Engineering,EUR,175942,134192,IN,SE,FL,Hybrid,DE,M +2021,Machine Learning Engineer ,Engineering,JPY,87487,65126,CN,EX,FL,Hybrid,DE,S +2022,Data Engineer (Remote),Analysis,GBP,180372,156734,MX,SE,CT,Remote,MX,S +2020,Machine Learning Engineer ,ML/AI,us dolars,97639,59652,US,EX,CT,Hybrid,JP,M +2021,Statistician ,Engineering,JPY,120731,35390,IN,EX,FL,In-person,UK,S +2020,Data Scientist (Remote),Data Science,EUR,154766,116136,CN,EX,FL,In-person,UK,M +2020,Machine Learning Engineer in office,Engineering,EUR,133429,95942,DE,EN,CT,Remote,DE,S +2021,Statistician in office,Engineering,EUR,193122,83492,JP,MI,FL,Remote,UK,M +2022,Data Engineer in office,ML/AI,JPY,163993,128300,IN,EN,FT,Hybrid,IN,S +2020,Data Analyst ,ML/AI,INR,160904,128531,CN,EX,CT,In-person,JP,S +2020,Data Engineer ,Data Science,INR,100270,141473,UK,SE,FL,Hybrid,DE,S +2020,Data Scientist in office,Analysis,INR,115293,114104,US,SE,PT,Remote,UK,S +2020,Data Engineer in office,Analysis,GBP,60328,105969,JP,EX,PT,Remote,CN,M +2021,Data Engineer in office,Engineering,JPY,53138,157633,IN,MI,CT,Remote,UK,L +2021,Data Engineer ,Data Science,EUR,173166,152439,CN,EN,PT,Remote,JP,L +2020,Data Engineer ,,,-39028,78481,JP,,PT,Remote,CN, +2022,Data Scientist (Remote),Analysis,INR,176504,58612,UK,EX,FT,Remote,US,L +2020,Statistician (Remote),Engineering,us dolars,73819,117743,IN,EX,CT,Hybrid,UK,S +2022,Machine Learning Engineer (Remote),Data Science,GBP,118627,171867,JP,MI,PT,Hybrid,CN,L +2020,Data Analyst in office,Analysis,GBP,35312,47564,IN,EN,FL,Hybrid,JP,S +2022,Machine Learning Engineer ,ML/AI,JPY,55973,78603,IN,MI,CT,In-person,CN,L +2020,Machine Learning Engineer (Remote),,,-132126,130403,JP,,CT,Hybrid,MX, +2022,Data Analyst (Remote),Engineering,JPY,190045,161585,IN,MI,PT,Remote,US,S +2020,Data Scientist (Remote),Engineering,us dolars,74390,41324,UK,MI,PT,Hybrid,CN,L +2020,Data Analyst (Remote),Engineering,EUR,177171,45491,JP,MI,FT,Hybrid,MX,S +2022,Data Scientist in office,Engineering,EUR,79956,109229,CN,SE,FL,In-person,DE,L +2021,Machine Learning Engineer ,Analysis,INR,129379,64600,MX,SE,FT,Remote,MX,M +2022,Data Scientist ,Data Science,INR,44063,94179,JP,SE,FT,In-person,US,M +2021,Statistician ,Engineering,us dolars,124306,171944,UK,EN,FL,In-person,UK,M +2020,Data Analyst (Remote),Engineering,EUR,123196,160047,UK,MI,PT,In-person,DE,S +2022,Statistician in office,Analysis,INR,39605,41358,UK,EX,FT,Hybrid,DE,S +2022,Machine Learning Engineer in office,Engineering,GBP,126185,101343,CN,EX,CT,Remote,US,S +2022,Data Analyst in office,Engineering,JPY,132756,56503,CN,EN,FT,Remote,DE,M +2021,Machine Learning Engineer ,Data Science,INR,146351,82268,MX,EN,FL,In-person,MX,L +2021,Statistician ,ML/AI,us dolars,102964,77905,MX,EX,FT,Remote,MX,S +2020,Machine Learning Engineer in office,Engineering,EUR,176889,92668,IN,MI,FT,Remote,US,M +2021,Data Analyst (Remote),Analysis,us dolars,32420,183306,IN,SE,CT,In-person,US,S +2021,Data Analyst ,Data Science,JPY,114448,192047,DE,EN,FL,Hybrid,CN,S +2020,Machine Learning Engineer ,Analysis,JPY,119897,118104,MX,EN,CT,In-person,MX,L +2022,Data Analyst (Remote),,,57728,58106,MX,,PT,In-person,US, +2022,Data Analyst (Remote),Data Science,INR,154826,88438,IN,EX,FL,Hybrid,MX,S +2020,Machine Learning Engineer ,Engineering,INR,87858,78397,UK,SE,FT,Hybrid,JP,L +2022,Statistician (Remote),Engineering,EUR,136716,197496,DE,MI,CT,Hybrid,UK,S +2021,Data Analyst (Remote),Engineering,EUR,190036,81275,MX,MI,CT,Hybrid,DE,S +2020,Data Analyst (Remote),ML/AI,GBP,106992,84034,UK,EX,FL,In-person,IN,L +2020,Data Analyst (Remote),ML/AI,GBP,129259,177089,US,EN,CT,Hybrid,CN,S +2020,Data Analyst (Remote),Analysis,EUR,146185,109372,MX,EX,FL,Remote,UK,S +2022,Machine Learning Engineer in office,Engineering,GBP,130282,109722,CN,EX,PT,In-person,IN,M +2020,Statistician ,ML/AI,us dolars,173747,64432,JP,MI,FL,In-person,US,L +2020,Statistician in office,Engineering,INR,127677,183829,US,SE,FL,Hybrid,DE,M +2020,Data Scientist in office,ML/AI,GBP,90049,77188,CN,MI,PT,Hybrid,CN,L +2022,Data Analyst in office,ML/AI,GBP,70213,158161,CN,EX,PT,Remote,UK,S +2021,Data Analyst ,Data Science,us dolars,189183,61116,UK,EX,FT,Hybrid,IN,M +2020,Data Scientist ,Engineering,JPY,34284,197788,IN,EN,CT,In-person,IN,M +2021,Statistician ,Engineering,EUR,47585,88738,JP,EN,PT,Hybrid,IN,M +2022,Data Engineer in office,ML/AI,us dolars,125131,50456,IN,EX,PT,Remote,UK,M +2022,Data Engineer ,Engineering,JPY,37131,164706,IN,MI,CT,In-person,JP,L +2022,Statistician in office,ML/AI,us dolars,73382,79366,MX,EN,CT,In-person,US,S +2022,Data Analyst (Remote),Engineering,INR,194599,156934,JP,SE,FT,Hybrid,DE,S +2021,Data Engineer ,,,192008,50856,JP,,FT,Remote,IN, +2020,Machine Learning Engineer (Remote),Engineering,us dolars,117081,90615,US,EX,FL,Remote,CN,S +2022,Machine Learning Engineer in office,Data Science,INR,83441,113126,UK,SE,FT,Hybrid,UK,S +2022,Data Scientist ,Analysis,EUR,109220,104137,IN,SE,PT,In-person,CN,L +2021,Statistician ,,,-181714,99005,UK,,PT,In-person,IN, +2021,Statistician (Remote),Engineering,GBP,42651,185863,UK,EN,CT,In-person,UK,S +2022,Data Engineer in office,Engineering,EUR,162737,67615,MX,MI,FT,Hybrid,CN,S +2020,Data Analyst in office,Data Science,us dolars,36918,30348,DE,EN,FL,In-person,JP,S +2020,Statistician ,Engineering,GBP,53007,66419,US,MI,FL,In-person,IN,M +2022,Data Engineer ,Engineering,INR,55035,163950,IN,EN,FL,Hybrid,MX,L +2021,Data Engineer ,ML/AI,EUR,119352,41857,CN,EX,FL,In-person,IN,L +2022,Statistician ,Analysis,JPY,106749,133053,JP,MI,CT,Hybrid,DE,L +2022,Data Engineer ,Data Science,EUR,144049,139608,JP,EX,FT,Remote,UK,S +2021,Data Scientist in office,ML/AI,EUR,118148,55658,UK,MI,FT,Remote,UK,M +2022,Data Scientist ,Data Science,GBP,52211,53267,US,SE,FT,Hybrid,JP,L +2022,Statistician (Remote),ML/AI,INR,56866,140998,US,MI,FT,Hybrid,IN,M +2022,Data Analyst ,Analysis,INR,37344,109889,IN,MI,FL,Hybrid,DE,L +2021,Data Scientist ,ML/AI,EUR,98737,155513,IN,MI,FL,In-person,CN,M +2020,Data Scientist in office,Data Science,INR,100288,153892,UK,MI,CT,In-person,US,S +2020,Statistician in office,Engineering,GBP,92546,83416,UK,MI,CT,Hybrid,DE,S +2021,Machine Learning Engineer in office,Engineering,GBP,137879,191439,UK,SE,FL,Hybrid,CN,L +2020,Data Engineer (Remote),,,40327,178304,DE,,PT,In-person,DE, +2022,Data Scientist in office,Data Science,INR,57608,89048,US,EX,FT,In-person,CN,L +2020,Machine Learning Engineer ,Data Science,JPY,189357,79357,UK,MI,CT,Hybrid,DE,S +2022,Data Analyst in office,Data Science,us dolars,118534,187540,MX,MI,FL,In-person,MX,S +2020,Machine Learning Engineer (Remote),Analysis,GBP,146209,51497,US,EX,FT,In-person,DE,L +2021,Statistician ,Engineering,EUR,48007,144009,CN,EN,FT,Remote,IN,L +2020,Data Analyst ,ML/AI,GBP,55257,36258,JP,EN,FL,Hybrid,DE,S +2020,Data Analyst (Remote),Analysis,us dolars,115054,85959,JP,SE,PT,Hybrid,CN,L +2020,Machine Learning Engineer in office,ML/AI,EUR,59784,64902,US,MI,PT,In-person,CN,L +2021,Statistician in office,Engineering,INR,199660,45454,CN,MI,CT,Remote,UK,L +2020,Data Scientist in office,Analysis,INR,74221,67606,JP,EN,FL,Hybrid,CN,S +2021,Machine Learning Engineer in office,Engineering,GBP,51378,84969,JP,MI,CT,Hybrid,UK,S +2022,Data Scientist (Remote),ML/AI,EUR,34696,116465,JP,SE,PT,In-person,MX,M +2020,Machine Learning Engineer (Remote),Data Science,EUR,123531,161857,IN,EX,CT,Hybrid,MX,M +2021,Data Scientist in office,Data Science,JPY,64635,103679,CN,MI,CT,In-person,CN,M +2021,Machine Learning Engineer (Remote),ML/AI,us dolars,156489,119628,IN,EX,PT,Remote,DE,M +2020,Data Analyst ,,,-88543,148785,US,,FT,Remote,CN, +2022,Data Engineer in office,ML/AI,GBP,180279,43635,US,EN,FT,Hybrid,MX,S +2021,Data Analyst ,Analysis,EUR,188596,106518,DE,SE,PT,In-person,UK,S +2020,Data Scientist ,Analysis,INR,189626,43409,IN,SE,FT,Remote,MX,M +2022,Statistician ,,,-41817,48541,US,,FL,Hybrid,IN, +2021,Data Analyst in office,Data Science,INR,85258,88022,IN,SE,FT,Hybrid,MX,S +2021,Data Engineer in office,Engineering,GBP,161240,99064,DE,EX,PT,Hybrid,MX,S +2022,Data Scientist in office,Data Science,INR,152475,197399,US,SE,FL,In-person,US,L +2022,Data Analyst (Remote),Data Science,JPY,95199,54946,US,SE,CT,In-person,DE,L +2020,Machine Learning Engineer in office,Engineering,us dolars,94948,127616,US,SE,PT,Remote,CN,M +2020,Statistician ,Engineering,INR,87782,131241,US,SE,PT,In-person,UK,M +2021,Data Scientist in office,Engineering,us dolars,110759,159622,UK,EX,FT,In-person,UK,L +2022,Data Analyst (Remote),Engineering,INR,91599,185628,CN,SE,FL,Hybrid,MX,S +2022,Data Scientist in office,Data Science,EUR,46291,133445,CN,EN,PT,Hybrid,IN,L +2022,Machine Learning Engineer (Remote),ML/AI,JPY,138945,145409,IN,SE,FL,Remote,MX,L +2021,Data Engineer ,Analysis,JPY,117057,157280,IN,SE,FL,Hybrid,CN,S +2022,Data Analyst ,ML/AI,us dolars,120251,145611,IN,MI,FT,Hybrid,IN,S +2022,Data Scientist ,Data Science,EUR,117154,51775,DE,MI,PT,Hybrid,US,M +2021,Data Scientist ,Engineering,GBP,124535,161907,MX,MI,FL,In-person,CN,L +2020,Data Scientist ,Analysis,JPY,194064,196819,UK,SE,FL,Hybrid,JP,M +2020,Data Engineer ,Analysis,EUR,31573,177176,MX,EN,CT,Remote,JP,L +2021,Data Scientist (Remote),ML/AI,EUR,38577,44927,IN,EN,FT,Remote,CN,L +2022,Statistician ,Data Science,us dolars,169784,165593,IN,MI,PT,Hybrid,JP,S +2021,Statistician in office,Data Science,EUR,59948,74086,US,MI,FL,Hybrid,US,L +2020,Data Scientist (Remote),Data Science,EUR,107700,175352,MX,SE,FT,Remote,DE,L +2020,Statistician (Remote),Analysis,GBP,35217,93266,US,EN,PT,In-person,MX,S +2021,Data Analyst in office,ML/AI,us dolars,90178,191825,MX,EN,FL,Hybrid,JP,S +2021,Statistician in office,Analysis,us dolars,115062,124971,MX,MI,PT,Remote,MX,S +2020,Data Scientist in office,Analysis,EUR,126806,189149,US,EN,PT,In-person,JP,L +2021,Machine Learning Engineer in office,Engineering,GBP,187481,145210,IN,MI,FT,Remote,CN,S +2020,Data Analyst in office,ML/AI,INR,139657,198417,US,MI,FT,In-person,UK,L +2021,Data Engineer ,Engineering,JPY,97035,192108,IN,EX,CT,Remote,UK,M +2021,Data Scientist (Remote),Data Science,us dolars,123075,181074,MX,EX,CT,Remote,DE,S +2021,Data Engineer in office,Analysis,GBP,170741,78440,DE,SE,CT,In-person,CN,M +2020,Machine Learning Engineer in office,ML/AI,GBP,189634,147771,DE,MI,FL,Hybrid,IN,M +2021,Data Engineer (Remote),Data Science,EUR,51629,101466,JP,SE,CT,Remote,US,S +2020,Data Scientist (Remote),ML/AI,JPY,121282,108924,UK,EX,PT,Hybrid,JP,S +2020,Data Scientist ,Analysis,us dolars,76007,151411,US,EN,FT,Remote,CN,L +2021,Machine Learning Engineer (Remote),ML/AI,INR,179200,83965,CN,EX,PT,In-person,MX,S +2021,Data Scientist in office,Data Science,EUR,32039,49691,US,EX,FT,Hybrid,MX,M +2020,Machine Learning Engineer (Remote),Engineering,us dolars,136615,99178,UK,EX,FT,In-person,CN,M +2020,Machine Learning Engineer in office,Analysis,us dolars,33857,49201,MX,EN,PT,In-person,US,M +2022,Data Scientist (Remote),Engineering,GBP,121432,37421,UK,EX,PT,Hybrid,UK,L +2020,Statistician (Remote),Analysis,JPY,110977,135351,MX,MI,FL,Hybrid,US,L +2022,Machine Learning Engineer ,Data Science,INR,42735,174626,JP,MI,FT,Hybrid,UK,S +2022,Data Scientist in office,Analysis,JPY,195583,101124,UK,EX,CT,In-person,US,S +2022,Statistician ,Engineering,GBP,76051,119307,IN,SE,FL,In-person,MX,S +2021,Machine Learning Engineer ,Analysis,INR,154822,121360,US,SE,CT,In-person,UK,M +2021,Statistician in office,Data Science,INR,82693,104852,UK,EN,FL,Hybrid,US,M +2020,Data Analyst (Remote),Analysis,EUR,137942,90245,IN,EN,FT,Remote,JP,M +2022,Data Analyst ,Engineering,INR,99152,138153,UK,MI,PT,Hybrid,JP,S +2021,Statistician (Remote),Data Science,us dolars,110919,75562,CN,MI,PT,Remote,DE,S +2021,Machine Learning Engineer (Remote),Engineering,JPY,59756,189306,IN,EX,FT,In-person,US,M +2021,Data Scientist ,Analysis,JPY,164966,115322,DE,SE,PT,Remote,IN,S +2021,Data Engineer ,ML/AI,EUR,146412,176401,IN,MI,FT,Hybrid,DE,L +2021,Data Scientist ,Engineering,INR,134531,176770,JP,SE,FT,Hybrid,US,S +2022,Data Engineer (Remote),Analysis,GBP,83214,46548,MX,EN,FT,Hybrid,IN,M +2022,Data Engineer in office,ML/AI,us dolars,99817,95234,IN,EN,FL,Remote,JP,S +2022,Machine Learning Engineer in office,ML/AI,EUR,93862,48340,UK,EX,PT,Hybrid,MX,L +2022,Statistician ,Data Science,INR,191108,99396,DE,EX,FL,Remote,MX,M +2020,Data Scientist (Remote),ML/AI,GBP,179656,114695,DE,MI,CT,In-person,JP,S +2022,Statistician ,Engineering,INR,193380,188937,IN,SE,FT,Remote,MX,S +2021,Data Analyst (Remote),,,-143084,174815,UK,,PT,In-person,CN, +2022,Machine Learning Engineer in office,ML/AI,GBP,58333,108254,DE,MI,CT,Remote,JP,S +2020,Machine Learning Engineer in office,Analysis,GBP,197021,140192,CN,SE,FT,In-person,CN,L +2021,Data Analyst ,Engineering,GBP,154361,156658,IN,MI,CT,Hybrid,MX,S +2022,Data Scientist ,Engineering,GBP,127330,55530,IN,EX,FL,Remote,IN,S +2022,Data Analyst in office,Data Science,INR,69288,89003,MX,SE,FL,In-person,UK,M +2022,Data Scientist (Remote),Analysis,GBP,108588,62908,IN,SE,PT,Hybrid,US,L +2021,Data Engineer in office,ML/AI,INR,145784,145407,DE,MI,CT,Hybrid,DE,M +2021,Machine Learning Engineer (Remote),Analysis,GBP,62175,97186,US,SE,CT,In-person,CN,L +2020,Data Scientist ,Data Science,GBP,38915,70653,UK,EX,FL,In-person,DE,S +2021,Statistician in office,Data Science,EUR,111658,160503,JP,EX,FL,Remote,MX,L +2021,Statistician ,Analysis,INR,139735,63783,JP,EN,PT,In-person,JP,M +2022,Machine Learning Engineer in office,Data Science,INR,102454,83535,UK,EN,FT,In-person,UK,S +2021,Data Analyst ,,,125973,136838,US,,PT,Hybrid,CN, +2022,Data Analyst in office,Data Science,EUR,141342,118273,MX,EN,FL,In-person,US,M +2022,Data Scientist in office,Analysis,INR,43805,55551,MX,MI,PT,In-person,CN,L +2021,Data Analyst ,Data Science,EUR,84716,73543,MX,EN,FT,In-person,US,S +2020,Machine Learning Engineer in office,ML/AI,EUR,163943,180576,MX,EN,FL,Hybrid,DE,M +2020,Data Scientist in office,ML/AI,EUR,132793,177443,UK,EN,FT,Hybrid,DE,M +2021,Data Engineer in office,Engineering,us dolars,67375,80975,IN,EN,PT,Hybrid,DE,L +2020,Data Analyst in office,ML/AI,INR,140415,59036,CN,MI,FT,Hybrid,US,M +2022,Data Analyst ,Engineering,EUR,184220,111083,UK,EN,FL,Remote,CN,S +2022,Data Scientist ,Analysis,us dolars,35834,83756,UK,SE,FL,Hybrid,DE,S +2021,Statistician in office,,,72680,122739,CN,,FT,Hybrid,US, +2020,Data Analyst in office,ML/AI,GBP,158802,154348,DE,SE,PT,Remote,JP,M +2020,Machine Learning Engineer ,Engineering,GBP,33399,39305,JP,MI,PT,Remote,MX,L +2022,Data Analyst in office,Analysis,INR,182834,96436,JP,MI,PT,Remote,MX,L +2021,Data Engineer (Remote),Engineering,GBP,135908,33747,IN,MI,PT,In-person,MX,M +2020,Data Analyst ,Data Science,INR,106493,53245,CN,EX,CT,Hybrid,CN,S +2021,Statistician in office,ML/AI,us dolars,136035,164175,MX,EN,CT,In-person,CN,L +2020,Data Analyst (Remote),Analysis,us dolars,189412,144938,MX,MI,FT,Remote,CN,S +2022,Data Scientist in office,,,156766,190649,IN,,CT,Remote,UK, +2022,Data Analyst in office,Analysis,GBP,122674,169559,DE,MI,CT,Remote,DE,M +2021,Statistician in office,,,-111344,125559,IN,,CT,Remote,US, +2022,Data Scientist (Remote),Engineering,INR,123779,75567,CN,SE,FT,In-person,JP,S +2020,Machine Learning Engineer (Remote),Data Science,JPY,41809,141709,CN,SE,CT,Remote,IN,S +2022,Data Scientist ,Data Science,GBP,178768,146322,US,EX,PT,Hybrid,JP,S +2021,Data Engineer in office,Engineering,EUR,160306,150717,DE,EN,PT,Hybrid,UK,L +2021,Data Scientist in office,ML/AI,GBP,182963,166687,CN,MI,FT,Hybrid,JP,S +2021,Machine Learning Engineer (Remote),Analysis,JPY,89151,106004,CN,SE,FT,In-person,DE,L +2020,Data Analyst in office,Analysis,us dolars,114661,40879,DE,EX,FT,Remote,DE,M +2020,Data Scientist in office,Data Science,us dolars,86632,127491,MX,EN,FL,In-person,IN,M +2020,Data Scientist in office,,,-149847,174150,UK,,CT,Hybrid,CN, +2020,Data Scientist (Remote),,,96533,34590,MX,,FT,Remote,US, +2020,Data Scientist in office,Data Science,us dolars,143459,40910,UK,MI,FT,In-person,MX,S +2022,Machine Learning Engineer in office,Engineering,JPY,101889,193048,US,EX,FT,Remote,JP,L +2020,Statistician ,,,-114239,51574,MX,,PT,Remote,IN, +2020,Statistician in office,Data Science,GBP,131511,63430,CN,SE,FT,In-person,MX,M +2022,Data Scientist (Remote),ML/AI,EUR,87942,85627,DE,MI,PT,Hybrid,DE,S +2020,Machine Learning Engineer (Remote),Analysis,GBP,39275,82239,DE,EN,PT,In-person,MX,M +2021,Machine Learning Engineer in office,Data Science,us dolars,49965,83913,UK,EX,FL,In-person,CN,L +2020,Data Scientist ,ML/AI,GBP,127955,128972,MX,SE,FT,Hybrid,US,M +2020,Data Engineer in office,Engineering,JPY,144178,123276,JP,SE,FL,In-person,US,M +2021,Data Scientist in office,,,-196926,170549,JP,,FT,Remote,UK, +2021,Data Engineer in office,Analysis,GBP,177045,82772,CN,MI,CT,Hybrid,CN,M +2021,Data Scientist (Remote),Analysis,EUR,119086,95696,UK,EN,FT,In-person,DE,M +2021,Data Engineer in office,Engineering,JPY,56878,130837,CN,SE,FT,Remote,US,M +2020,Data Engineer (Remote),Data Science,INR,155664,183966,IN,SE,FT,Hybrid,UK,S +2021,Data Scientist ,Analysis,INR,178177,132750,DE,SE,FT,In-person,UK,L +2021,Data Engineer in office,Data Science,JPY,143174,143572,MX,MI,FT,Hybrid,DE,S +2022,Data Analyst (Remote),Analysis,INR,94746,32918,MX,SE,FT,Remote,US,L +2021,Statistician (Remote),Engineering,us dolars,129458,141683,CN,SE,FL,Remote,MX,S +2021,Machine Learning Engineer (Remote),Engineering,INR,158684,55629,US,EN,CT,Hybrid,CN,L +2022,Data Engineer in office,Data Science,us dolars,69935,46699,MX,SE,FL,Remote,US,L +2022,Data Engineer ,ML/AI,JPY,62784,142436,JP,EX,CT,Remote,JP,S +2020,Machine Learning Engineer (Remote),,,192673,83984,CN,,FL,Hybrid,US, +2022,Data Engineer in office,Engineering,INR,69865,81363,IN,SE,FL,Hybrid,UK,L +2020,Machine Learning Engineer (Remote),Analysis,us dolars,127081,37069,DE,EN,FT,In-person,IN,M +2022,Data Scientist (Remote),ML/AI,us dolars,108701,136815,MX,EN,FL,In-person,DE,L +2022,Data Analyst in office,,,179688,134726,IN,,CT,Hybrid,IN, +2020,Data Analyst (Remote),Analysis,EUR,41654,100063,CN,EN,PT,Remote,US,L +2022,Statistician (Remote),Analysis,INR,47830,49099,DE,EN,CT,Remote,CN,M +2020,Data Engineer in office,ML/AI,EUR,177277,45622,DE,MI,FL,Hybrid,CN,S +2022,Statistician ,Engineering,EUR,72425,187353,UK,SE,PT,Hybrid,MX,S +2021,Data Scientist ,Analysis,INR,107355,69433,UK,MI,FT,Hybrid,MX,M +2022,Data Analyst ,Analysis,us dolars,196923,69875,US,SE,PT,Remote,UK,M +2020,Data Scientist ,Data Science,GBP,138039,159381,US,EN,FT,In-person,IN,M +2022,Data Scientist in office,Data Science,JPY,168024,166204,MX,SE,CT,In-person,DE,M +2020,Data Engineer in office,ML/AI,INR,77405,124932,IN,EN,PT,Remote,JP,S +2020,Data Scientist ,Data Science,INR,35391,88016,UK,SE,PT,In-person,IN,L +2021,Data Analyst in office,Engineering,JPY,45091,90891,DE,EN,PT,Hybrid,CN,S +2021,Statistician ,ML/AI,EUR,60237,136966,UK,SE,FT,Hybrid,JP,L +2020,Data Analyst (Remote),ML/AI,GBP,143268,123343,DE,SE,FT,Remote,CN,S +2022,Data Engineer (Remote),Data Science,EUR,88353,69550,UK,SE,CT,Remote,MX,M +2020,Data Analyst (Remote),,,-104500,147295,DE,,CT,Hybrid,MX, +2020,Machine Learning Engineer ,Engineering,JPY,142780,57196,IN,SE,FL,Hybrid,US,S +2022,Statistician (Remote),Engineering,GBP,56968,83849,UK,EN,FT,Remote,US,M +2022,Machine Learning Engineer ,Engineering,JPY,155401,77358,JP,MI,CT,Remote,DE,M +2022,Machine Learning Engineer in office,ML/AI,JPY,58285,69513,JP,SE,PT,Hybrid,JP,S +2022,Data Engineer (Remote),Engineering,GBP,133507,110481,DE,EX,PT,Hybrid,JP,S +2020,Data Scientist (Remote),Analysis,INR,45430,118915,IN,EX,PT,In-person,DE,L +2020,Machine Learning Engineer (Remote),,,-170105,154790,DE,,CT,In-person,MX, +2021,Data Analyst in office,Data Science,INR,180990,68877,IN,EX,PT,Hybrid,CN,S +2020,Data Scientist ,Engineering,INR,48256,183897,US,EN,PT,Remote,IN,L +2022,Data Analyst (Remote),ML/AI,EUR,151946,96451,UK,EN,FT,In-person,DE,M +2021,Data Analyst (Remote),Data Science,INR,61188,53848,IN,EX,FT,In-person,MX,S +2022,Data Scientist ,Analysis,GBP,85134,174741,DE,EX,CT,Hybrid,US,S +2020,Data Scientist (Remote),,,82657,39875,MX,,FT,Remote,JP, +2021,Data Analyst (Remote),Analysis,us dolars,66088,110389,MX,EN,FL,Remote,UK,S +2022,Data Engineer (Remote),Data Science,INR,176051,97961,US,EX,CT,Hybrid,CN,S +2021,Statistician ,Analysis,JPY,80106,127976,MX,MI,FL,Remote,MX,M +2021,Statistician (Remote),Engineering,EUR,162667,194265,DE,MI,FL,Hybrid,UK,S +2020,Data Engineer in office,,,-193696,130091,JP,,CT,Remote,US, +2022,Data Scientist ,Data Science,JPY,97824,46552,JP,SE,FT,Hybrid,JP,M +2021,Data Analyst (Remote),,,135149,194354,UK,,FT,Remote,JP, +2021,Statistician in office,Analysis,INR,124547,197275,CN,EX,CT,Hybrid,DE,S +2022,Data Analyst in office,Analysis,JPY,151624,158682,UK,EX,FL,Hybrid,IN,L +2021,Data Engineer in office,ML/AI,INR,178199,126338,MX,EX,CT,Remote,DE,L +2021,Data Analyst in office,ML/AI,JPY,47878,106105,US,EX,CT,Hybrid,UK,M +2021,Data Engineer in office,ML/AI,EUR,90690,120802,MX,EX,PT,In-person,JP,S +2022,Data Scientist (Remote),,,107838,98740,JP,,PT,Remote,IN, +2022,Data Engineer in office,Analysis,GBP,138484,103301,IN,EN,FL,Hybrid,DE,S +2022,Data Engineer ,Data Science,us dolars,161279,186000,JP,MI,FT,Remote,IN,M +2022,Statistician (Remote),ML/AI,JPY,31083,44679,CN,EX,PT,Remote,MX,S +2020,Data Analyst (Remote),Analysis,INR,33311,129421,UK,EN,PT,Hybrid,CN,M +2021,Statistician in office,Data Science,EUR,53135,64173,DE,EX,FL,In-person,CN,S +2022,Machine Learning Engineer in office,Analysis,EUR,87109,74899,MX,EN,CT,Remote,UK,M +2021,Data Engineer (Remote),Data Science,EUR,91354,77865,US,MI,PT,In-person,IN,L +2021,Machine Learning Engineer ,ML/AI,GBP,136892,68182,CN,EN,FT,In-person,MX,M +2020,Statistician (Remote),,,92233,69109,JP,,FL,Hybrid,CN, +2022,Data Analyst (Remote),ML/AI,EUR,119468,165246,IN,EX,PT,Hybrid,JP,M +2022,Statistician in office,Analysis,EUR,81588,178133,CN,EN,FL,Remote,CN,L +2021,Data Analyst ,Analysis,us dolars,61716,137046,IN,SE,PT,Hybrid,IN,S +2022,Data Analyst in office,Data Science,JPY,157558,95524,IN,SE,PT,Remote,IN,L +2021,Data Scientist in office,Engineering,JPY,108255,108812,US,MI,FL,Remote,DE,S +2021,Data Engineer in office,,,182849,148942,IN,,FT,In-person,MX, +2020,Statistician in office,ML/AI,us dolars,157326,140572,IN,MI,FT,Hybrid,MX,S +2020,Data Analyst ,Engineering,GBP,151921,189553,JP,MI,CT,Hybrid,IN,L +2020,Statistician in office,ML/AI,us dolars,123481,81938,US,EX,PT,Remote,IN,M +2021,Statistician in office,Data Science,EUR,189860,192348,DE,SE,CT,In-person,UK,S +2022,Data Analyst ,Engineering,INR,165091,94850,DE,MI,FL,Hybrid,IN,S +2020,Machine Learning Engineer (Remote),Engineering,EUR,105018,156193,IN,EN,CT,In-person,MX,L +2022,Data Engineer in office,ML/AI,EUR,76873,191673,CN,EN,FL,In-person,DE,M +2020,Data Engineer (Remote),,,-160241,80324,UK,,FT,Remote,MX, +2020,Data Scientist in office,Engineering,JPY,170967,182336,US,MI,FL,Hybrid,DE,S +2021,Data Scientist in office,Engineering,us dolars,124672,109426,MX,EN,FL,Hybrid,MX,M +2020,Data Scientist ,Engineering,GBP,77672,72852,UK,MI,CT,Hybrid,MX,M +2020,Data Engineer ,Data Science,EUR,36121,147503,US,EN,PT,In-person,JP,M +2021,Machine Learning Engineer (Remote),Data Science,EUR,129332,182130,US,EX,CT,Hybrid,CN,S +2022,Data Engineer in office,Engineering,GBP,112445,111657,JP,EN,FT,Remote,UK,L +2020,Data Engineer ,ML/AI,us dolars,97863,133500,IN,MI,FT,In-person,US,L +2021,Data Engineer in office,ML/AI,EUR,180002,67352,JP,MI,FT,Hybrid,JP,S +2020,Data Engineer in office,,,-79987,35021,CN,,PT,In-person,IN, +2021,Machine Learning Engineer (Remote),Data Science,EUR,130787,52614,MX,SE,CT,In-person,CN,S +2022,Data Scientist in office,Engineering,JPY,158215,89131,UK,MI,FL,In-person,UK,S +2022,Statistician ,Data Science,JPY,196574,140813,UK,SE,FL,Remote,JP,M +2021,Data Scientist (Remote),Engineering,EUR,127083,32631,DE,MI,PT,Hybrid,DE,S +2021,Data Scientist ,Data Science,EUR,61688,167417,CN,EX,FT,Hybrid,UK,S +2021,Statistician (Remote),Analysis,JPY,138034,136400,MX,EN,PT,In-person,UK,S +2022,Data Engineer (Remote),ML/AI,EUR,138406,77674,CN,SE,FL,Hybrid,MX,M +2020,Machine Learning Engineer in office,Analysis,us dolars,37304,160323,JP,EN,FT,In-person,MX,M +2022,Machine Learning Engineer (Remote),ML/AI,us dolars,165121,56844,JP,EX,PT,In-person,IN,M +2021,Data Scientist (Remote),Data Science,INR,44947,101836,CN,EX,FL,In-person,UK,S +2021,Statistician in office,Analysis,us dolars,39495,134148,JP,EX,FL,Remote,CN,M +2022,Data Analyst (Remote),ML/AI,EUR,54707,35362,DE,MI,PT,Hybrid,MX,S +2021,Data Engineer (Remote),Engineering,EUR,74544,38097,MX,MI,FL,In-person,MX,S +2022,Data Scientist ,Data Science,GBP,191778,166671,MX,MI,CT,Hybrid,CN,L +2021,Machine Learning Engineer ,Data Science,us dolars,130770,34258,JP,MI,CT,Remote,UK,M +2020,Statistician in office,,,-195065,121066,JP,,FT,Remote,US, +2020,Statistician (Remote),Engineering,JPY,44987,102176,MX,EX,CT,In-person,MX,L +2021,Data Scientist in office,ML/AI,INR,180161,67056,CN,SE,CT,Remote,IN,M +2022,Data Analyst in office,Data Science,GBP,95997,47261,MX,MI,PT,Remote,MX,M +2020,Machine Learning Engineer in office,ML/AI,JPY,39993,149173,CN,EN,FT,Remote,UK,L +2022,Data Scientist ,Engineering,INR,41465,81696,JP,SE,PT,Remote,UK,S +2021,Data Analyst in office,Data Science,us dolars,112071,198899,JP,EN,PT,Remote,US,L +2022,Statistician (Remote),Engineering,GBP,62640,45141,CN,MI,CT,Remote,US,M +2020,Data Engineer ,ML/AI,GBP,105997,187824,UK,SE,CT,Hybrid,DE,S +2022,Machine Learning Engineer ,,,-42366,119084,IN,,FL,Remote,IN, +2022,Machine Learning Engineer ,ML/AI,us dolars,59895,130904,UK,SE,FL,Hybrid,US,L +2021,Data Analyst (Remote),Data Science,GBP,31785,123219,JP,EN,FT,In-person,UK,L +2021,Data Scientist in office,Engineering,INR,36242,82680,US,MI,CT,Remote,US,M +2021,Statistician in office,Engineering,JPY,54529,48792,US,EX,FL,Remote,JP,L +2020,Data Analyst ,ML/AI,us dolars,142616,198700,DE,EX,PT,Hybrid,DE,M +2020,Data Engineer ,ML/AI,us dolars,94399,138469,UK,MI,CT,Remote,DE,S +2021,Data Engineer in office,ML/AI,GBP,36356,83100,CN,SE,FT,Hybrid,CN,S +2021,Data Engineer (Remote),ML/AI,GBP,184301,154118,DE,EX,FT,Hybrid,IN,L +2020,Data Analyst ,,,115380,161839,DE,,PT,Remote,DE, +2020,Statistician ,Analysis,INR,48220,56992,US,MI,FL,In-person,IN,L +2020,Machine Learning Engineer (Remote),Analysis,EUR,186723,158468,UK,EN,PT,In-person,JP,S +2020,Data Scientist ,ML/AI,GBP,127222,59570,IN,SE,FL,In-person,CN,M +2021,Machine Learning Engineer (Remote),ML/AI,EUR,118198,149571,MX,EN,CT,Hybrid,UK,S +2020,Statistician in office,Engineering,EUR,64261,116126,CN,EN,FT,Hybrid,JP,S +2021,Machine Learning Engineer in office,Data Science,us dolars,160792,135389,UK,MI,FL,Remote,IN,M +2022,Data Analyst ,Engineering,JPY,133467,91580,DE,MI,PT,Hybrid,IN,M +2022,Data Engineer in office,Analysis,JPY,72380,30744,JP,EN,CT,In-person,IN,M +2020,Statistician (Remote),,,-109833,181630,DE,,FL,Remote,UK, +2022,Statistician ,ML/AI,INR,134008,62259,UK,EX,CT,In-person,CN,L +2022,Machine Learning Engineer (Remote),Analysis,JPY,118324,182522,US,EX,CT,Remote,CN,M +2022,Data Analyst in office,Analysis,JPY,157718,86949,MX,MI,PT,In-person,IN,M +2020,Machine Learning Engineer in office,,,-134992,198001,UK,,PT,Remote,JP, +2020,Machine Learning Engineer in office,Data Science,us dolars,57011,76589,IN,EN,CT,In-person,CN,M +2022,Statistician ,Analysis,JPY,123593,105122,CN,SE,CT,Hybrid,UK,S +2021,Machine Learning Engineer (Remote),Analysis,GBP,148339,161358,CN,EN,FL,In-person,JP,M +2022,Data Engineer ,Engineering,GBP,179519,46387,JP,MI,PT,Remote,MX,L +2020,Machine Learning Engineer in office,Analysis,us dolars,113940,144365,JP,SE,FL,In-person,UK,M +2020,Data Engineer in office,ML/AI,EUR,116677,52319,DE,MI,FT,Hybrid,IN,M +2020,Statistician ,Engineering,JPY,143570,161483,UK,EN,FL,Remote,CN,S +2022,Data Analyst (Remote),ML/AI,INR,94583,50729,CN,MI,CT,Hybrid,UK,M +2021,Data Engineer in office,ML/AI,GBP,93056,115647,US,SE,FT,In-person,US,L +2020,Data Analyst (Remote),ML/AI,EUR,111468,142102,IN,EX,FL,Remote,JP,L +2020,Data Analyst in office,Analysis,GBP,152897,45704,DE,MI,FT,In-person,US,S +2022,Data Engineer ,Data Science,EUR,42017,171181,UK,SE,PT,Remote,US,S +2021,Statistician in office,Data Science,JPY,67880,192244,US,MI,FL,Hybrid,IN,L +2022,Data Scientist ,ML/AI,JPY,31355,179056,UK,MI,FL,Hybrid,MX,M +2020,Data Analyst ,Analysis,JPY,136360,188532,US,EX,PT,Hybrid,IN,L +2021,Data Analyst ,Engineering,us dolars,88936,151845,MX,SE,FL,In-person,US,S +2021,Statistician in office,ML/AI,EUR,77266,160317,UK,SE,FT,Remote,UK,L +2020,Statistician (Remote),Engineering,INR,129138,199546,UK,SE,PT,Hybrid,IN,S +2021,Machine Learning Engineer (Remote),Engineering,INR,90656,74449,MX,EN,FT,In-person,JP,L +2021,Statistician in office,Analysis,JPY,84104,150247,CN,MI,FL,In-person,US,M +2022,Data Analyst ,Analysis,INR,106844,168268,DE,EX,FL,Remote,JP,M +2020,Data Engineer (Remote),Data Science,GBP,30969,81534,UK,SE,FL,Hybrid,MX,S +2020,Data Scientist (Remote),Data Science,EUR,128896,43549,UK,EX,FL,In-person,CN,M +2020,Machine Learning Engineer in office,Analysis,EUR,30254,39821,DE,EN,FT,Hybrid,MX,S +2020,Data Engineer ,ML/AI,EUR,171378,65564,DE,EN,FL,Remote,JP,M +2020,Data Scientist (Remote),,,-95516,41073,JP,,PT,Hybrid,JP, +2021,Data Scientist in office,Engineering,us dolars,123077,37282,JP,SE,PT,Hybrid,US,M +2022,Data Scientist in office,ML/AI,GBP,179295,180261,CN,EX,CT,In-person,DE,L +2020,Data Engineer ,Engineering,EUR,97967,139966,DE,SE,PT,In-person,MX,S +2022,Machine Learning Engineer in office,Analysis,EUR,80117,40771,MX,SE,CT,Remote,CN,M +2022,Machine Learning Engineer ,,,31737,91492,IN,,PT,Remote,IN, +2021,Data Scientist (Remote),ML/AI,INR,112404,183306,CN,EX,PT,Remote,JP,L +2020,Data Engineer in office,Analysis,us dolars,193548,64096,US,EN,FL,In-person,US,S +2021,Data Scientist (Remote),ML/AI,GBP,185397,42236,DE,MI,PT,Remote,DE,M +2020,Statistician ,Engineering,EUR,173398,81544,JP,EN,FL,Remote,US,S +2021,Machine Learning Engineer ,ML/AI,JPY,42911,65921,UK,SE,FL,In-person,IN,S +2022,Data Analyst ,Analysis,us dolars,190152,54576,DE,EX,PT,Remote,MX,M +2020,Data Scientist in office,Engineering,JPY,52635,161238,DE,MI,FT,In-person,MX,L +2022,Statistician in office,Engineering,us dolars,81179,175724,JP,MI,FL,Remote,US,S +2022,Machine Learning Engineer in office,,,166285,180710,JP,,PT,In-person,MX, +2021,Data Engineer (Remote),Data Science,us dolars,93545,45233,IN,MI,FT,Hybrid,UK,M +2020,Machine Learning Engineer (Remote),ML/AI,us dolars,189012,31885,CN,EX,PT,In-person,CN,S +2022,Data Engineer in office,Data Science,EUR,155918,83520,JP,SE,PT,In-person,UK,M +2021,Data Engineer (Remote),Data Science,JPY,78604,129203,JP,MI,FT,In-person,MX,S +2020,Data Scientist ,,,-104332,196088,JP,,PT,Remote,JP, +2020,Data Scientist in office,Data Science,INR,79119,139759,CN,EN,FL,In-person,US,L +2022,Machine Learning Engineer ,Analysis,JPY,112888,172841,UK,SE,CT,In-person,US,L +2020,Statistician ,Analysis,JPY,91604,167521,DE,MI,CT,Remote,JP,L +2022,Machine Learning Engineer ,Data Science,us dolars,46820,136459,DE,EN,PT,Hybrid,JP,M +2020,Data Analyst (Remote),ML/AI,INR,106502,38136,JP,EN,CT,In-person,MX,M +2021,Data Engineer ,Analysis,EUR,142271,101986,MX,EN,CT,Remote,CN,M +2022,Data Engineer (Remote),Data Science,EUR,97345,72999,MX,MI,CT,Hybrid,MX,M +2022,Data Scientist ,Analysis,GBP,70875,119567,CN,SE,FL,In-person,DE,M +2020,Statistician in office,Engineering,INR,101041,61052,IN,EX,FL,Hybrid,US,L +2020,Data Scientist ,Analysis,us dolars,100793,172418,JP,SE,CT,In-person,IN,S +2022,Data Analyst ,,,34909,44852,CN,,FT,In-person,IN, +2020,Machine Learning Engineer in office,ML/AI,GBP,122881,145418,CN,MI,FT,Hybrid,IN,L +2021,Machine Learning Engineer (Remote),Analysis,EUR,44866,102603,IN,EN,FT,Hybrid,JP,L +2020,Statistician in office,ML/AI,JPY,120404,192557,CN,SE,FL,Hybrid,JP,M +2021,Data Scientist ,,,95997,136071,DE,,FL,In-person,JP, +2021,Data Scientist ,Data Science,INR,58460,54272,IN,MI,FL,In-person,MX,S +2021,Data Analyst (Remote),ML/AI,GBP,78500,164835,IN,EX,FL,Remote,IN,S +2021,Machine Learning Engineer ,Analysis,us dolars,42128,89087,US,SE,CT,Remote,DE,M +2021,Data Scientist ,Analysis,EUR,35202,84848,IN,EN,FL,Remote,CN,M +2020,Statistician (Remote),ML/AI,GBP,131243,60075,IN,EN,CT,In-person,UK,L +2021,Machine Learning Engineer (Remote),Engineering,GBP,192310,58692,UK,EN,FT,Hybrid,US,M +2020,Data Analyst (Remote),,,-109258,122085,DE,,CT,Remote,UK, +2021,Statistician (Remote),Analysis,EUR,160388,96414,JP,MI,FT,In-person,US,M +2022,Data Engineer ,Engineering,EUR,141302,189920,US,MI,FL,Hybrid,JP,S +2021,Data Analyst (Remote),Data Science,us dolars,158623,150170,IN,EX,FT,Remote,IN,L +2022,Statistician (Remote),,,-113583,49268,UK,,FT,Hybrid,UK, +2021,Data Scientist ,Analysis,us dolars,193616,155887,UK,MI,CT,Hybrid,JP,L +2021,Data Engineer (Remote),ML/AI,JPY,90064,106323,CN,MI,FT,Remote,US,L +2021,Data Analyst ,Analysis,GBP,127119,146985,JP,SE,PT,Remote,CN,S +2022,Data Scientist (Remote),Analysis,us dolars,52413,106872,JP,EX,FT,In-person,CN,S +2022,Data Engineer (Remote),Analysis,JPY,112341,123274,MX,EN,FL,Hybrid,UK,M +2021,Machine Learning Engineer in office,Engineering,GBP,116891,70139,DE,EN,FT,Remote,UK,L +2020,Data Scientist ,ML/AI,us dolars,63033,64037,MX,EN,PT,Remote,UK,M +2021,Statistician (Remote),Engineering,EUR,131154,108434,CN,EN,CT,Hybrid,UK,L +2022,Data Analyst in office,Analysis,INR,31378,178750,IN,MI,FT,Hybrid,UK,M +2021,Data Engineer in office,ML/AI,us dolars,167575,48141,UK,MI,PT,Hybrid,JP,S +2022,Data Scientist ,Data Science,INR,135461,54160,US,SE,FL,Remote,MX,S +2022,Machine Learning Engineer in office,ML/AI,us dolars,149104,173907,DE,EN,FL,Remote,US,M +2022,Data Analyst ,Analysis,EUR,63617,39383,IN,MI,CT,In-person,US,S +2021,Data Analyst in office,ML/AI,INR,165886,134882,CN,MI,FL,Hybrid,DE,M +2022,Data Scientist ,Data Science,JPY,156616,185636,JP,MI,PT,Remote,MX,L +2022,Machine Learning Engineer (Remote),Data Science,EUR,53763,137549,CN,EN,FT,Remote,MX,L +2021,Data Engineer ,ML/AI,INR,171072,199556,IN,MI,PT,Hybrid,IN,S +2022,Data Scientist in office,Data Science,INR,164346,81556,CN,EX,CT,Remote,CN,S +2021,Data Engineer ,Engineering,EUR,84232,189352,JP,EN,FT,Hybrid,UK,S +2022,Data Analyst (Remote),ML/AI,EUR,175299,187367,IN,EN,PT,Remote,CN,L +2020,Data Engineer (Remote),,,-178351,87596,US,,CT,Hybrid,US, +2020,Machine Learning Engineer in office,Data Science,GBP,140249,128236,MX,SE,CT,Hybrid,IN,S +2022,Statistician in office,ML/AI,JPY,122916,143424,DE,SE,FT,Remote,IN,M +2020,Machine Learning Engineer in office,,,-170723,128145,CN,,FT,Hybrid,JP, +2021,Data Engineer (Remote),ML/AI,INR,114463,105287,JP,EN,FL,In-person,UK,S +2020,Data Scientist (Remote),Data Science,us dolars,37771,101678,US,EN,FL,In-person,DE,S +2022,Data Analyst in office,ML/AI,EUR,108996,75955,UK,EX,FT,Hybrid,IN,M +2022,Statistician (Remote),Data Science,JPY,100173,81080,US,MI,FL,In-person,JP,M +2021,Data Scientist (Remote),Analysis,JPY,70834,111793,US,EX,FT,Remote,UK,M +2022,Data Scientist in office,ML/AI,GBP,164625,183722,US,MI,FL,Remote,US,L +2021,Machine Learning Engineer (Remote),ML/AI,EUR,195189,133717,JP,MI,PT,Hybrid,DE,L +2020,Data Engineer in office,Data Science,INR,131290,184284,UK,SE,CT,Remote,UK,L +2020,Machine Learning Engineer (Remote),Data Science,GBP,158928,97726,DE,EX,FT,Remote,JP,M +2021,Data Engineer ,Data Science,EUR,64890,72882,US,EX,FT,In-person,CN,L +2021,Machine Learning Engineer ,Data Science,GBP,123740,53038,JP,EN,FT,Remote,JP,S +2022,Data Scientist (Remote),,,-109428,103630,JP,,PT,Remote,JP, +2020,Data Analyst (Remote),Data Science,EUR,38689,52451,DE,MI,CT,In-person,JP,S +2021,Data Engineer ,ML/AI,INR,58063,85352,MX,MI,FL,Hybrid,JP,S +2020,Statistician in office,Engineering,INR,87198,50521,IN,EX,FL,Hybrid,DE,M +2021,Statistician in office,ML/AI,EUR,31363,94308,UK,SE,CT,In-person,IN,S +2020,Data Scientist ,Data Science,GBP,177763,150631,UK,SE,FL,In-person,MX,M +2022,Machine Learning Engineer in office,Data Science,JPY,163823,67206,CN,EN,FT,Remote,IN,L +2020,Machine Learning Engineer in office,Engineering,EUR,153763,99963,US,EN,CT,Remote,MX,M +2020,Data Scientist ,ML/AI,INR,37782,156407,IN,MI,PT,Hybrid,US,M +2020,Statistician ,Engineering,us dolars,113184,166628,MX,EX,CT,Hybrid,MX,S +2020,Statistician (Remote),ML/AI,INR,173612,136836,UK,MI,FT,In-person,IN,S +2020,Machine Learning Engineer ,Data Science,JPY,75991,48772,MX,MI,CT,Remote,JP,S +2022,Data Engineer ,ML/AI,INR,100875,189135,CN,EX,PT,In-person,IN,S +2021,Data Analyst in office,Data Science,JPY,188681,135296,US,MI,PT,Hybrid,MX,S +2020,Data Engineer in office,Data Science,EUR,86655,52709,IN,MI,CT,Hybrid,CN,S +2022,Statistician (Remote),Analysis,INR,93177,166455,JP,SE,CT,In-person,MX,S +2020,Data Engineer in office,Analysis,GBP,88396,31233,US,EN,FL,Remote,CN,S +2020,Data Analyst in office,ML/AI,GBP,46877,57146,IN,SE,FL,Remote,IN,S +2021,Data Engineer in office,Data Science,INR,157934,159205,DE,EN,FT,In-person,JP,M +2020,Data Engineer ,Engineering,INR,48405,158443,UK,EN,FL,Hybrid,MX,S +2022,Data Engineer in office,Data Science,us dolars,146435,81450,MX,EN,FT,In-person,DE,S +2022,Data Engineer ,Engineering,INR,78629,185785,US,SE,FT,In-person,JP,M +2021,Data Scientist in office,ML/AI,us dolars,76233,110325,CN,EX,CT,Remote,IN,L +2020,Statistician ,ML/AI,us dolars,51471,42374,JP,MI,FL,Hybrid,IN,L +2022,Data Analyst in office,,,-33302,80985,CN,,PT,Hybrid,US, +2020,Statistician (Remote),Engineering,us dolars,143466,61012,MX,EX,PT,Remote,JP,L +2020,Data Scientist (Remote),Data Science,EUR,110048,114059,US,EN,CT,Hybrid,US,S +2020,Data Scientist (Remote),ML/AI,GBP,127972,54783,UK,EN,PT,Hybrid,US,S +2021,Data Scientist in office,Data Science,us dolars,184583,176635,UK,SE,PT,Remote,UK,S +2020,Data Scientist (Remote),Engineering,GBP,166094,73193,IN,SE,CT,Hybrid,CN,L +2022,Data Engineer ,Analysis,us dolars,73239,40042,CN,MI,PT,Hybrid,US,M +2020,Statistician (Remote),Analysis,GBP,158185,89031,CN,EX,CT,In-person,CN,S +2022,Machine Learning Engineer (Remote),Analysis,INR,153811,73163,JP,EX,FT,Hybrid,IN,M +2020,Data Analyst (Remote),Engineering,INR,151097,118356,MX,MI,FL,In-person,MX,M +2022,Data Scientist (Remote),Data Science,GBP,89269,126788,IN,EN,PT,In-person,IN,S +2022,Statistician ,ML/AI,us dolars,133558,163280,JP,SE,CT,In-person,UK,M +2020,Data Scientist (Remote),Engineering,EUR,120868,43796,US,MI,PT,Remote,UK,M +2020,Data Scientist in office,Analysis,GBP,91895,120962,US,EX,FL,Remote,MX,S +2022,Data Scientist (Remote),Data Science,JPY,99890,183742,CN,MI,PT,Hybrid,JP,M +2021,Data Scientist in office,,,127383,54320,MX,,FT,In-person,MX, +2020,Data Scientist in office,ML/AI,JPY,65284,50074,IN,EX,CT,Hybrid,UK,S +2021,Data Analyst (Remote),Engineering,GBP,105692,57931,MX,EX,FL,Hybrid,DE,S +2020,Statistician (Remote),Engineering,us dolars,183525,48993,DE,SE,FT,Hybrid,IN,S +2020,Data Scientist in office,ML/AI,JPY,119294,85330,UK,SE,PT,Hybrid,IN,S +2020,Data Scientist ,ML/AI,GBP,199048,194063,MX,EX,PT,Hybrid,CN,S +2020,Data Scientist ,,,174797,45003,IN,,PT,In-person,UK, +2021,Data Scientist (Remote),ML/AI,us dolars,124852,44743,MX,SE,FL,In-person,CN,S +2020,Data Engineer ,Engineering,JPY,107080,154291,IN,SE,CT,In-person,UK,L +2022,Data Engineer ,Data Science,GBP,111863,109543,US,EX,FL,In-person,IN,M +2022,Machine Learning Engineer (Remote),Analysis,us dolars,46705,54300,UK,EN,FT,Remote,UK,L +2021,Data Scientist in office,Analysis,us dolars,93131,140888,MX,EN,CT,In-person,JP,M +2020,Machine Learning Engineer in office,ML/AI,INR,106015,136818,MX,SE,FL,In-person,UK,S +2022,Data Analyst ,Data Science,us dolars,92456,101509,MX,EN,PT,In-person,UK,L +2021,Machine Learning Engineer in office,Analysis,GBP,106859,39703,IN,SE,FT,Remote,MX,S +2020,Statistician (Remote),Engineering,EUR,184161,119403,MX,EN,PT,Hybrid,JP,M +2022,Data Engineer ,ML/AI,INR,97238,86436,US,EN,FL,Remote,JP,L +2022,Data Engineer in office,Engineering,GBP,105940,51845,US,MI,FT,In-person,JP,L +2021,Data Scientist ,ML/AI,GBP,129134,111777,CN,SE,CT,In-person,CN,M +2020,Data Scientist in office,Analysis,GBP,103916,65055,CN,EN,CT,Remote,IN,M +2020,Data Analyst ,ML/AI,JPY,91396,169950,IN,EN,FL,Hybrid,MX,L +2022,Data Analyst in office,Data Science,JPY,33877,40209,IN,MI,FL,Remote,UK,L +2022,Statistician in office,Engineering,EUR,138407,88812,US,EN,CT,Remote,JP,L +2022,Data Scientist (Remote),Data Science,GBP,114256,124035,CN,MI,CT,In-person,JP,M +2020,Data Scientist (Remote),Engineering,JPY,61818,133139,MX,EN,FL,Remote,IN,S +2021,Data Analyst (Remote),Engineering,JPY,78555,130838,MX,MI,CT,Remote,DE,L +2021,Data Analyst ,ML/AI,JPY,72368,172076,IN,MI,FT,Remote,UK,M +2020,Data Analyst ,Analysis,EUR,153054,126123,UK,EX,FL,Remote,DE,L +2021,Data Engineer ,Analysis,EUR,119666,194462,US,SE,FT,Remote,DE,M +2022,Machine Learning Engineer in office,Data Science,GBP,128777,58400,US,EX,PT,Remote,JP,L +2021,Machine Learning Engineer in office,ML/AI,INR,139928,106511,IN,SE,FT,In-person,CN,M +2021,Data Scientist in office,Analysis,GBP,79421,108121,IN,EN,FL,In-person,IN,M +2021,Data Engineer ,Engineering,JPY,56620,145763,IN,SE,PT,In-person,UK,L +2022,Data Analyst (Remote),Engineering,JPY,151238,167948,MX,EX,CT,In-person,UK,M +2020,Data Scientist ,ML/AI,us dolars,90539,153183,MX,SE,FT,Remote,UK,M +2022,Data Engineer ,Data Science,GBP,47077,120775,UK,EX,FT,Remote,CN,M +2020,Statistician (Remote),ML/AI,JPY,173735,73906,US,SE,FL,Remote,DE,M +2020,Data Engineer (Remote),Data Science,JPY,113335,149925,DE,EN,CT,Remote,US,M +2020,Data Scientist ,ML/AI,INR,77285,50378,UK,EN,FL,In-person,IN,M +2021,Machine Learning Engineer in office,Engineering,us dolars,178691,56568,UK,SE,CT,In-person,US,M +2021,Data Analyst in office,ML/AI,GBP,99503,127046,MX,SE,FL,Remote,DE,M +2020,Statistician (Remote),Analysis,EUR,154851,117332,CN,EN,CT,Remote,JP,L +2020,Data Engineer ,Analysis,GBP,87477,137014,US,SE,PT,Remote,US,M +2021,Data Scientist in office,ML/AI,GBP,57488,60796,MX,MI,FL,Remote,US,S +2022,Data Scientist in office,Data Science,INR,108747,85061,DE,EN,PT,Hybrid,IN,L +2020,Data Analyst (Remote),Data Science,GBP,51169,105597,US,EN,FL,Hybrid,DE,L +2022,Data Scientist ,Engineering,INR,60373,54401,UK,EX,FL,Hybrid,IN,S +2021,Data Scientist (Remote),Engineering,INR,62669,164882,IN,EX,FL,Hybrid,JP,M +2020,Data Analyst ,Data Science,JPY,85277,129216,US,MI,FT,Remote,CN,S +2022,Statistician ,,,-85120,119362,US,,FL,Remote,CN, +2022,Machine Learning Engineer ,Engineering,INR,96376,34902,IN,MI,CT,Remote,CN,S +2022,Machine Learning Engineer ,Data Science,us dolars,84235,115148,DE,SE,FT,Hybrid,UK,L +2021,Data Engineer ,Data Science,us dolars,195301,79723,DE,EX,CT,Hybrid,CN,M +2021,Statistician ,ML/AI,EUR,116854,90599,US,SE,CT,Remote,MX,L +2022,Data Engineer in office,Analysis,INR,45405,43967,MX,EX,CT,Hybrid,CN,M +2022,Machine Learning Engineer in office,Data Science,EUR,143307,143312,IN,EN,CT,In-person,DE,S +2021,Data Analyst in office,Engineering,JPY,131776,166207,CN,EN,CT,Hybrid,MX,L +2022,Data Scientist in office,ML/AI,us dolars,176919,92365,US,SE,PT,Hybrid,CN,M 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Science,GBP,48837,146747,IN,MI,CT,Hybrid,JP,M +2020,Data Analyst in office,Data Science,EUR,110684,67879,DE,EX,FL,In-person,CN,M +2022,Data Scientist ,Data Science,JPY,147704,33888,US,EX,FL,Remote,UK,M +2020,Statistician (Remote),Data Science,JPY,106730,95713,CN,MI,PT,Remote,JP,L +2020,Machine Learning Engineer in office,ML/AI,JPY,175891,153825,CN,EX,FL,Remote,US,L +2021,Machine Learning Engineer ,Analysis,INR,37404,37426,JP,SE,FL,Hybrid,CN,M +2021,Data Scientist (Remote),Analysis,EUR,44674,100031,UK,MI,FT,Hybrid,UK,M +2020,Statistician ,Data Science,GBP,115923,40047,JP,SE,CT,In-person,CN,L +2020,Machine Learning Engineer (Remote),,,179769,179111,UK,,CT,In-person,IN, +2021,Machine Learning Engineer (Remote),,,184642,196373,CN,,FL,Remote,UK, +2022,Machine Learning Engineer ,Analysis,GBP,135319,51366,UK,EN,FL,Hybrid,JP,M +2021,Statistician ,Data Science,EUR,58037,181817,US,MI,PT,Remote,DE,S +2020,Data Scientist (Remote),Engineering,GBP,143565,172425,CN,EX,CT,Remote,CN,L diff --git a/week2_analysis.ipynb b/week2_analysis.ipynb new file mode 100644 index 0000000..93a6631 --- /dev/null +++ b/week2_analysis.ipynb @@ -0,0 +1,683 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "id": "8f1bf0ec-7633-44d5-9d47-a876f3f8f737", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Первый взгляд на данные:\n", + " ФИО Возраст Оценки\n", + "0 Ренат 23 81\n", + "1 Никита 22 78\n", + "2 Кирилл 19 86\n", + "3 Илья 25 76\n", + "\n", + "Системная информация о таблице:\n", + "\n", + "RangeIndex: 4 entries, 0 to 3\n", + "Data columns (total 3 columns):\n", + " # Column Non-Null Count Dtype\n", + "--- ------ -------------- -----\n", + " 0 ФИО 4 non-null str \n", + " 1 Возраст 4 non-null int64\n", + " 2 Оценки 4 non-null int64\n", + "dtypes: int64(2), str(1)\n", + "memory usage: 228.0 bytes\n", + "None\n", + "\n", + "Статистическая сводка:\n", + " Возраст Оценки\n", + "count 4.00 4.000000\n", + "mean 22.25 80.250000\n", + "std 2.50 4.349329\n", + "min 19.00 76.000000\n", + "25% 21.25 77.500000\n", + "50% 22.50 79.500000\n", + "75% 23.50 82.250000\n", + "max 25.00 86.000000\n", + "\n", + "Проверка на отсутствующие данные:\n", + "ФИО 0\n", + "Возраст 0\n", + "Оценки 0\n", + "dtype: int64\n", + "\n", + "Обновленный DataFrame с дополнительными баллами:\n", + " ФИО Возраст Оценки Дополнительные Баллы\n", + "0 Ренат 23 81 97.2\n", + "1 Никита 22 78 93.6\n", + "2 Кирилл 19 86 103.2\n", + "3 Илья 25 76 91.2\n", + "\n", + "Группировка по возрасту (средний балл):\n", + " Оценки\n", + "Возраст \n", + "19 86.0\n", + "22 78.0\n", + "23 81.0\n", + "25 76.0\n", + "\n", + "Потребуется: студенты, которым больше 21 лет:\n", + " ФИО Возраст Оценки Дополнительные Баллы\n", + "0 Ренат 23 81 97.2\n", + "1 Никита 22 78 93.6\n", + "3 Илья 25 76 91.2\n", + "\n", + "--- Математические операции с numpy ---\n", + "Суммарное значение элементов: 25\n", + "Средний показатель: 5.0\n", + "Медианное значение: 5.0\n", + "Стандартное отклонение: 2.8284271247461903\n", + "\n", + "Матрица 2x2:\n", + "[[1 3]\n", + " [5 7]]\n", + "\n", + "Равномерно распределённые числа от -1 до 1 (8 значений):\n", + "[-5. -2.5 0. 2.5 5. ]\n", + "\n", + "Полученные значения из нормального распределения (4х4):\n", + "[[ 0.35716372 0.70235756 0.66136613 -1.06119039 0.34697262]\n", + " [ 0.41563651 -0.56808265 -0.24628306 0.89924839 -0.62027043]\n", + " [-0.27438315 0.32306686 1.70828784 1.23302475 1.45374835]\n", + " [ 0.18450677 0.57201517 -3.09569119 1.79579105 -0.61741201]\n", + " [-0.57069763 0.42029197 1.06887692 1.56673026 -2.2769301 ]]\n", + "\n", + "Результат умножения матриц M1 и M2:\n", + "[[20 28]\n", + " [52 76]]\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "# 1. Создание таблицы\n", + "dataset = {\n", + " \"ФИО\": [\"Ренат\", \"Никита\", \"Кирилл\", \"Илья\"],\n", + " \"Возраст\": [23, 22, 19, 25],\n", + " \"Оценки\": [81, 78, 86, 76]\n", + "}\n", + "\n", + "df = pd.DataFrame(dataset)\n", + "\n", + "# Анализ содержимого\n", + "print(\"Первый взгляд на данные:\")\n", + "print(df.head()) # Вывод первых строк таблицы\n", + "print(\"\\nСистемная информация о таблице:\")\n", + "print(df.info()) # Общая информация о DataFrame\n", + "print(\"\\nСтатистическая сводка:\")\n", + "print(df.describe()) # Основные статистические показатели\n", + "print(\"\\nПроверка на отсутствующие данные:\")\n", + "print(df.isnull().sum()) # Подсчёт пропущенных значений\n", + "\n", + "# 2. Добавление вычисляемого столбца\n", + "df[\"Дополнительные Баллы\"] = df[\"Оценки\"] * 1.2\n", + "print(\"\\nОбновленный DataFrame с дополнительными баллами:\")\n", + "print(df)\n", + "\n", + "# 3. Группировка информации\n", + "df_grouped = df.groupby(\"Возраст\").agg({\"Оценки\": \"mean\"})\n", + "print(\"\\nГруппировка по возрасту (средний балл):\")\n", + "print(df_grouped)\n", + "\n", + "# 4. Фильтрация по критериям \n", + "df_filtered = df[df[\"Возраст\"] > 21]\n", + "print(\"\\nПотребуется: студенты, которым больше 21 лет:\")\n", + "print(df_filtered)\n", + "\n", + "# 5. Использование numpy\n", + "numbers = np.array([1, 3, 5, 7, 9])\n", + "print(\"\\n--- Математические операции с numpy ---\")\n", + "print(\"Суммарное значение элементов:\", np.sum(numbers))\n", + "print(\"Средний показатель:\", np.mean(numbers))\n", + "print(\"Медианное значение:\", np.median(numbers))\n", + "print(\"Стандартное отклонение:\", np.std(numbers))\n", + "\n", + "# Двумерный массив\n", + "array_2d = np.array([[1, 3], [5, 7]])\n", + "print(\"\\nМатрица 2x2:\")\n", + "print(array_2d)\n", + "\n", + "# Генерация значений\n", + "sequence = np.linspace(-5, 5, 5)\n", + "print(\"\\nРавномерно распределённые числа от -1 до 1 (8 значений):\")\n", + "print(sequence)\n", + "\n", + "random_matrix = np.random.randn(5, 5)\n", + "print(\"\\nПолученные значения из нормального распределения (4х4):\")\n", + "print(random_matrix)\n", + "\n", + "# Операции над матрицами\n", + "M1 = np.array([[1, 3], [5, 7]])\n", + "M2 = np.array([[2, 4], [6, 8]])\n", + "matrix_product = np.dot(M1, M2)\n", + "\n", + "print(\"\\nРезультат умножения матриц M1 и M2:\")\n", + "print(matrix_product)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e0b75a88-e04c-44d6-bf84-2dc254928262", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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HcdUchCoeghYuXJhOOeWU1KdPn1yB++yzT3rooYcqXSwAAKDRELjo5XnxxRdz2Inen9bE9tgfx8Xx8bpqVNEQFJOoDj300FxZd9xxR/rLX/6SLrnkktSrV69KFgsAAGgk5gAtWLAgDRgwIA99W5fYH8fF8bNnz07VqKILI3zta19LAwcOTNddd13Dtl122aWSRQIAABqJVd9iEYSwth6g5krHzZgxI40dO3a9walQIeinP/1pXj3ihBNOSPfcc09OjJ/4xCfSRz/60VaPX7NmTb6VrFixIt/X1dXlWyXF50cDqXQ52iv1q45rnTasfmuZ9qt+a5n223bLly/Pq8DFvJ/mYSael27NxfHxunj9dtttlza3jTkPr2gI+tvf/pamT5+ezjrrrPSFL3whT546/fTT0zbbbJNOPfXUFsdPnjw5TZo0qcX2JUuWpNWrV2+hUq+90kvro3fsWPGpVu2O+lXHtU4bVr+1TPtVv7VM+y3PFJYhQ4bk3p2Yw99YhJ++ffvmx82vE/Tyyy+nV199NS1evHiLnKuvXLlyg4/tUF/BqxpF2Bk+fHj63e9+17AtQlCEoQceeGCDeoJiOF38YrZEulzfP7AIYzvssIMQpH5rkjasfmuZ9qt+a5n2q36r3fLly9PIkSNz4InencZi284775yee+65FiFo2bJledtdd921Rc7VIxvE2gIb0vNU0Z6gfv36pb322qvJtje96U3p1ltvbfX4zp0751tz0fNSDb0v0QiqpSztkfpVx7VOG1a/tUz7Vb+1TPttm549e+YLoUZHRY8ePVrsj6BTujUPQSNGjMiv2RJzgjbmHLyiZ+uxMtxTTz3VZFuMG4xl9QAAgMrr0KFDGjduXH4cw9s2ROm48ePHV92iCBUPQZ/+9KfTgw8+mL7yla+kZ555Jt10003p6quvTqeddloliwUAADQSi5kNGjQoX+NzfbNpYv+iRYvy8aNGjUrVqKIhKLrHfvSjH6Uf/OAHadiwYemiiy5K06ZNSyeffHIliwUAADTSrVu3NGXKlNSnT580f/78tfYIxfbY37t37zR16tT8umpU0TlBYcyYMfkGAABUrxEjRuSVnSdOnJgvhFqaLxSrwMX8n7iFmNoSASgWQKtWFQ9BAABA7QSh22+/Pc2ePTtfCDXm80fvTwyBi30xByiGzm277bapmglBAADABoshbscff3waO3ZsXo46rgMUqz5vqVXgykEIAgAANloEnrgeT1wINe5rJQAFF7QBAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgCAKBdqq+vT8uXL09Lly7N9/EcwtaqAQCA9mTVqlVp1qxZaebMmWnu3LlpyJAhad68eWno0KFp3LhxafTo0albt26VLiYVpCcIAIB2Y86cOWnMmDFp4sSJ+XGHDh1Sp06d8n08j+2xPx5TXEIQAADtQgSbCRMmpPnz56f+/funwYMHp549e6auXbvm+3ge22N/HCcIFVdFQ9AFF1yQU3nj25577lnJIgEAUKND4KKX58UXX8xhJ3p/WhPbY38cF8fH6yieivcE7b333mnx4sUNt/vuu6/SRQIAoMbEHKAFCxakAQMG5C/W1yX2x3Fx/OzZs7dYGakeFQ9BW2+9ddpxxx0bbttvv32liwQAQA2JVd9iEYSwth6g5krHzZgxw6pxBVTx1eGefvrpPDazS5cu6eCDD06TJ09OgwYNavXYNWvW5FvJihUr8n1dXV2+VVJ8fvwDrHQ52iv1q45rnTasfmuZ9qt+q10sfx2rwMW8n+a9QI2nXTQXx8fr4vXbbbfdFixx+1FXRefAG1OGioaggw46KF1//fVpjz32yEPhJk2alA477LD0+OOPp+7du7c4PgJSHNPckiVL0urVq1OlK720/nzHjhXvYGt31K86rnXasPqtZdqv+q12cR2gWAY7endiEYTGIvz07ds3P25+naCXX345vfrqq/k8tNLnkrWqrorOgVeuXLnBx3aor6KrRi1btixPVLv00kvThz/84Q3qCRo4cGBu+JVO79EAIoztsMMOFW8A7ZH6Vce1ThtWv7VM+1W/1S5OwkeOHJkDT/TuNBbbdt555/Tcc8+1CEFx7hnb7rrrroqfS9aquio6B45s0KtXrw3q2av4cLjGotHGRayeeeaZVvd37tw535qLCq90pZf+kVVLWdoj9auOa502rH5rmfarfqtZ6Rwylrzu0aNHi/0RdEq35iFoxIgR+TXrW0yB6v/7sDGfX1Vn67FEYVzNt1+/fpUuCgAANXQSPm7cuPw4hrdtiNJx48ePF4AKqKIh6Oyzz0733HNP7p783e9+l8aOHZu22mqrdNJJJ1WyWAAA1JjRo0fnxbUWLly43tXeYv+iRYvy8aNGjdpiZaR6VDQE/eMf/8iBJxZGiPTep0+f9OCDD+YxhQAAsKG6deuWpkyZks8n58+fv9Yeodge+3v37p2mTp2aX0fxVHRO0M0331zJjwcAoB2J+T3Tp09PEydOzBdCLc0XilXgYv5P3EIsxBUBaPjw4RUuMZVSVQsjAABAW4PQ7bffnmbPnp0vhBrXAYrenxgCF/tiDlAMndt2221VdIEJQQAAtCsxxO3444/P881jueS4DlAsvGUVOEqEIAAA2u2qcXG9mLgQatxbBpuqXCIbAABgcxOCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCAACAQhGCqHr19fVp+fLlaenSpfk+ngMAwKbaepNfCZvZqlWr0qxZs9LMmTPT3Llz05AhQ9K8efPS0KFD07hx49Lo0aNTt27d/B4AANgoeoKoSnPmzEljxoxJEydOzI87dOiQOnXqlO/jeWyP/fEYAAA2hhBE1YlgM2HChDR//vzUv3//NHjw4NSzZ8/UtWvXfB/PY3vsj+MEIQAAajIEffWrX83f8p955pmVLgoVHgIXvTwvvvhiDjvR+9Oa2B7747g4Pl4HAAA1E4Lim/yrrroq7bvvvpUuChUWc4AWLFiQBgwYkEPxusT+OC6Onz179hYrIwAAta3iISi+wT/55JPTNddck3r16lXp4lBBsepbLIIQ1tYD1FzpuBkzZlg1DgCA2lgd7rTTTktHH310evvb354uvvjidR67Zs2afCtZsWJFvq+rq8u3SorPj5P4SpejlsXy17EKXMz7ad4LFM9Lt+bi+HhdvH677bbbgiVuX7Rh9VvLtF/1W8u0X/Vby+qq6Bx4Y8pQ0RB08803pz/+8Y8bPLF98uTJadKkSS22L1myJK1evTpVutJL17Dp2LHiHWw1Ka4DFMtgR+9OLILQWISfvn375sfNrxP08ssvp1dffTUtXry44u2glmnD6reWab/qt5Zpv+q3ltVV0TnwypUrqz8E/f3vf09nnHFGuvPOO1OXLl026DXnnHNOOuuss5r0BA0cODDtsMMOFe8BiAYQJ+pRlko3gFrVuXPnfB2gqMfo3Wms1AP03HPPtQhBy5Yty9v69etX8XZQy7Rh9VvLtF/1W8u0X/Vby+qq6Bx4QzNFRUPQww8/nF544YX05je/uWHb66+/nu699970rW99Kw9722qrrVqcJMetuajwSld6iAZQLWWpRRF84kKo0TPYo0ePFvsj6JRuzUPQiBEj8mvWt5gC66YNb17qV/3WMu1X/dYy7bcY9dtxIz6/YiHoyCOPTI899liTbR/84AfTnnvumT73uc+1CEAU4x/QuHHjcgiK4W0bsjhCHBfGjx8vAAEAsPlCUOPem9bEPJ/16d69exo2bFiTbdtuu23q06dPi+0Ux+jRo9Pll1+eL4Qa1wFaV89O9AgtWrQoDRo0KI0aNWqLlhMAgIKFoEceeSR95jOfSd26dcsnorFgwcc//vHUu3fv8peQQok2NWXKlDRhwoQchOI6QK31CEUP0MKFC3Nonjp1an4dAABs1uFwEydObFit65JLLsmLHOy6666pLe6+++42vZ72Ieb3TJ8+PbexuBBqab5QrAIX83/iFqKnKALQ8OHDK1xiAABqySbNXopha3GR0/Daa6/lZYk/+9nPNmyDcgSh22+/PYeceBw9jtH7E/fxPLb//Oc/F4AAANgyPUH77LNPOvfcc3Pvz8yZM9OOO+6YFzKIb+Rvu+22tNdee23K20ITMcTt+OOPT2PHjs3rz8d1gGIZbKvAAQCwxUNQDH874YQT0owZM/IJ6Q033JCOPvrodOmll6ZDDz00X/QSyiUWR4jr/0SPY9xbBhsAgC0egg4++OD0j3/8Iy1ZsiQvhlBazjouZPqWt7ylTQUCAADYnNp0naC4Mmxzb33rW9vylgAAANUXgn7605+uc/+73/3uTS0PAABA9YWg4447rmFeRqzW1Vhsf/3118tTOgAAgGpYIvvkk09O3bt3TxdddFG+dktdXV3DTQACAADaXQj6/ve/n37961+n2bNnp6FDh6Ybb7yx/CUDAAColhAUDjzwwHT33Xenyy67LF144YX5GkH33ntveUsHAABQDSFoxYoVDbeRI0em+++/Px177LFpzJgxeb4QAABAu1oYoWfPnq1esDIWSfjZz35WjnIBAABUTwi66667yl8SAACAag1BRxxxRPlLAgAAUK0h6M9//vM69++7776bWh4AAIDqC0H7779/nhMUc4CaXzTVxVIBAIB2F4KeffbZhuAzbNiw9Itf/CINHjy43GUDAACojhDUOPBEz89OO+0kBAEAAO37YqkAAACFDEHRE9TaNYMAAADazXC4Xr16NQSfVatWpQMOOCB17Ph/eerf//53+UoIAABQ6RA0bdq0cpYBAACgukPQqaeeWv6SAAAAVPOcoHnz5qUvfvGL6aSTTkovvPBC3nbHHXekJ554opzlAwAAqHwIuueee9I+++yTfv/736fbbrstzwsKjz76aDr//PPLW0IAAIBKh6DPf/7z6eKLL0533nln2mabbRq2jxw5Mj344IPlLB8AAEDlQ9Bjjz2Wxo4d22J7375907/+9a9ylAsAAKB6QlDPnj3T4sWLW2z/05/+lAYMGFCOcgEAAFRPCDrxxBPT5z73ufT888/n6wXV1dWl+++/P5199tnp/e9/f/lLCQAAUMkQ9JWvfCXtueeeaeDAgXlRhL322isdfvjh6ZBDDskrxgEAALSr6wTFYgjXXHNNOu+889Ljjz+eg9ABBxyQdt999/KXEAAAoNIhqGTQoEH5BgAA0K5D0FlnnbXO/ZdeeummlgcAAKD6QlCsAtfYfffdlw488MDUtWvXvFACAABAuwpBd911V5Pn3bt3TzfddFPaddddy1UuAACA6lkdrrn6+vpyvA0AAED1h6DbbrstrV69OvXt27c8JQIAAKi24XC9evXKc38i/KxZsyZfOLVbt27lLx0AAEA1hKBp06bl+1gIYe+99843AACAdhuCTj311PKXBAAAoNovlvqXv/wlLViwIL3yyitNtr/73e9ua7kAAACqJwT97W9/S2PHjk2PPfZYnhtUWh2udI2g119/vbylBAAAqOTqcGeccUbaZZdd0gsvvJDe8IY3pCeeeCLde++9afjw4enuu+8uV9kAAACqoyfogQceSL/5zW/S9ttvnzp27Jhvb33rW9PkyZPT6aefnv70pz+Vv6QAAACV6gmK4W7du3fPjyMILVq0KD8ePHhweuqpp8pRLgAAgOrpCRo2bFh69NFH85C4gw46KH39619P22yzTbr66qvTrrvuWv5SAgAAVDIEffGLX0wvvfRSfnzhhRemMWPGpMMOOyz16dMnzZgxo1xlAwAAqI4QNHr06IbHu+22W/rrX/+a/v3vf6devXo1rBAHAADQ7q4T1Fjv3r3L9VYAAADVFYKOP/74de6/7bbbNrU8AAAA1bc6XI8ePRpuP//5z/MS2Y23AQAAtKueoOuuu67h8S233JJXh7MqHAAA0G57ggAAAGqVEAQAABTKJg2H++Y3v9nw+LXXXkvXX3992n777Ru2nX766eUpHQAAQDWEoG984xsNj3fcccf0/e9/v+F5XCdICAIAWL/6+vq0fPnytHTp0tS5c+fUs2dP11yEag1Bzz77bPlLAgBQEKtWrUqzZs1KM2fOTHPnzk1DhgxJ8+bNS0OHDk3jxo3LF6bv1q1bpYsJ7dZGzwm6+uqr0ymnnJJuvPHGhufxD3a33XZLl1xyyeYoIwBAuzFnzpw0ZsyYNHHixPw4RtF06tQp38fz2B774zFQBT1BEXw+85nPpFGjRuV/oM8880yaNm1aOvvss1NdXV268MIL0y677LLei6kCABRRBJsJEyakF198MQ0YMKAh/HTt2jUPhYvrLb766qtp/vz5+bjp06enESNGVLrYUOyeoCuvvDL/Y7z11lvTz372s3TRRRflawSde+656bzzzkuXXnppuvzyyzf4/eK99t1337Tddtvl28EHH5zuuOOOTfk5AACqfghcfIkcAWjw4ME5ALUmtsf+OC6Oj9cBFQxBTz75ZA4q4cADD0wdO3ZMBx10UMP+ww8/PD322GMb/H477bRT+upXv5oefvjh9NBDD6WRI0emY489Nj3xxBMbUywAgKoXc4AWLFiQe4Ci92ddYn8cF8fPnj17i5URimKjQtCaNWvSG97whobnsYpJ40l70ZX7+uuvb/D7HXPMMeld73pX2n333fO8oi9/+cv5/R588MGNKRYAQNWvAheLIIS19QA1VzpuxowZ+fVAheYExTcSMQ+oX79++fkNN9zQ8Dg89dRTaeedd96kgkR4+uEPf5heeumlht6m1kJY3EpWrFiR72M+UtwqKT4//kBVuhztlfpVx7VOG1a/tUz7bbtYBjtWgWttCex4Xro1F8fH6+L1MXWAjaf9Fqd+6zaiDBsVgo444oj0i1/8Ih122GH5eQxdayxWijvkkEM25i3z8LkIPatXr869QD/60Y/SXnvt1eqxkydPTpMmTWqxfcmSJfn1la70+AMVjSCGCaJ+a402rH5rmfarfqtdXAcolsGO3p0YOdNYhJ++ffvmx817fF5++eW8UMLixYsrfq5Tq/x9KE79rly5coOP7VBfxv7V+OAuXbpscDdveOWVV/J416i8W265JX3nO99J99xzT6tBqLWeoIEDB+Y/LJX+diQaQISxHXbYoeINoD1Sv+q41mnD6reWab9tF+c5Mfc5Ak/07jQW22IkzXPPPdciBC1btixvu+uuuyp+rlOrtN/i1O+KFStSr169NqjndJMulro23bt33+jXbLPNNvkaQ6XFFmLpyMsuuyxdddVVLY6NOUhxay4qvNKVXvojVi1laY/Urzquddqw+q1l2m/bRPCJ+c9xnhPLYDcXQad0ax6CYonseM36FlNg7bTfYtRvx434/I7VmCYb9/YAALSHk8Rx48blxzG8bUOUjhs/frwABGVW0RB0zjnnpHvvvTd3/8bcoHh+9913p5NPPrmSxQIAKLvRo0enQYMGpYULF653tbfYv2jRonx8XKQeaEch6IUXXkjvf//70x577JGOPPLI3EUca+i/4x3vqGSxAADKLhaAmjJlSurTp0+aP3/+WnuEYnvs7927d5o6dWqTy5EA5VHWOUEb69prr63kxwMAbFExv2f69Olp4sSJeWGo0nyhWAUu5v/ELQwePDgHoOHDh/sNQXsLQQAARQxCt99+e5o9e3a+EGpcByh6f2IIXOyLOUAxdG7bbbetdFGh3RKCAAC2sBjidvzxx6exY8fm5XzjOkBxAXqrwMGWIQQBAFRw1bi4nklcCDXuLYMNW0bVLZENAACwOQlBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBAABAoQhBZVBfX5+WL1+eli5dmu/jOdQSbZhapv0CsLG23uhX0GDVqlVp1qxZaebMmWnu3LlpyJAhad68eWno0KFp3LhxafTo0albt25qjKqlDVPLtF8ANpWeoE00Z86cNGbMmDRx4sT8uEOHDqlTp075Pp7H9tgfj6EaacPUMu0XgLYQgjbxP98JEyak+fPnp/79+6fBgwennj17pq5du+b7eB7bY38cJwhRbbRhapn2C0BNh6DJkyenESNGpO7du6e+ffum4447Lj311FOp2odfRC/Piy++mMNO9P60JrbH/jgujo/XQTXQhqll2i8ANR+C7rnnnnTaaaelBx98MN15553p1VdfTaNGjUovvfRSqlYxB2jBggVpwIABeejbusT+OC6Onz179hYrI6yLNkwt034BqPkQ9Mtf/jJ94AMfSHvvvXfab7/90vXXX58Dw8MPP5yqdQWiWAQhrK0HqLnScTNmzLBqHBWnDVPLtF8A2uXqcLG8dOjdu3er+9esWZNvJStWrMj3dXV1+bYlyherwMW8n+a9QPG8dGsujo/Xxeu32267zV7O9ih+v3ECtCV+z+2ZNlw52nDbab+Vo/2q31qm/Ranfus2ogxVE4Ki0GeeeWY69NBD07Bhw9Y6h2jSpEktti9ZsiStXr16s5cxrgMUy2BH704sgtBYhJ+Y1xSaXyfo5ZdfzkP9Fi9evEXK2R5F+yhdg6ljR+t5bCptuHK04bbTfitH+1W/tUz7LU79rly5svZCUMwNevzxx9N999231mPOOeecdNZZZzXpCRo4cGDaYYcdtkgPS+fOnfN1gCLwRO9OY6UeoOeee65FCFq2bFne1q9fPz1BbfgHFnUcv+tK/wOrZdpw5WjDbaf9Vo72q35rmfZbnPrt0qVLbYWgT37yk+n2229P9957b9ppp53W+R9g3JqLCt8SlR7BJy6EGsuz9ujRo8X+CDqlW/MQFKvgxWvWt5gCaxd1t6V+1+2VNlxZ2nDbaL+Vpf2q31qm/RajfjtuxOdXtKQRFiIA/ehHP0q/+c1v0i677JKq/Rc8bty4/DiGt22I0nHjx48XgKg4bZhapv0CUC4dKz0E7oYbbkg33XRTvlbQ888/n28xh6ZajR49Og0aNCgtXLhwvau9xf5Fixbl42Ppb6gG2jC1TPsFoOZD0PTp0/NEqre97W15vkzpFstJV6tu3bqlKVOmpD59+qT58+evtUcotsf+WOlu6tSp+XVQDbRhapn2C0A5VHRO0Pp6UqpVzO+JADdx4sR8XaPSWPXowYr5P3ELgwcPzgFo+PDhFS4xNKUNU8u0XwDaqioWRqjV/4RjMYfZs2fnnqu4DlD0/kSwi30xByiGbWy77baVLiq0Shumlmm/ALRFh/pa7Y75f0tkx4prlb4IaVRhlCGuAxTD+awCt3mWX3zhhRfytZgqvfJIe6QNb37a8Oaj/W5+2q/6rWXab3Hqd8VGZAM9QWVasSgqOi6EGveWwabWaMPUMu0XgI3lK3UAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCCAzay+vj4tX748LV26NN/Hc6gV2i/QHm1d6QIAtFerVq1Ks2bNSjNnzkxz585NQ4YMSfPmzUtDhw5N48aNS6NHj07dunWrdDGhVdov0J7pCQLYDObMmZPGjBmTJk6cmB936NAhderUKd/H89ge++MxVBvtF2jvhCCAzXACOWHChDR//vzUv3//NHjw4NSzZ8/UtWvXfB/PY3vsj+MEIaqJ9gsUQUVD0L333puOOeaYfDIQ347++Mc/rmRxAMoyhCh6eV588cUcdqL3pzWxPfbHcXF8vA4qTfsFiqKiIeill15K++23X7riiisqWQyAsok5QAsWLEgDBgzIX+6sS+yP4+L42bNn+y1QcdovUBQVDUFHHXVUuvjii9PYsWMrWQyAsq2iFYsghLX1ADVXOm7GjBlWjaOitF+gSGpqdbg1a9bkW8mKFSvyfV1dXb5VUnx+/AdS6XK0V+pXHdeCWP46VoGLeT/Ne4HieenWXBwfr4vXb7fddluwxO2HvxFtp/1WjvarfmtZXRWdA29MGWoqBE2ePDlNmjSpxfYlS5ak1atXp0pXeun6Hx07Wm9C/dYebbjt4jpAsQx29O7EIgiNRfjp27dvftz8OkEvv/xyevXVV9PixYsr/resVmm/baf9Vo72q35rWV0VnQOvXLmyfYagc845J5111llNeoIGDhyYdthhh4p/exoNIE5yoiyVbgDtkfpVx7Wgc+fO+TpA8bcgencaK/UAPffccy1C0LJly/K2fv36VfxvWa3yN6LttN/K0X7Vby2rq6Jz4C5durTPEBR/oOPWXFR4pSs9RAOolrK0R+pXHVe7CD5xIdRYYrhHjx4t9kfQKd2ah6ARI0bk16xvMQXWzt+IttF+K0v7Vb+1rEOVnANvzOc7Wwco438C48aNy49jeNuGKB03fvx4AYiK0n6BIqloCIrrETzyyCP5Fp599tn8OJaLBahFo0ePToMGDUoLFy5c72pvsX/RokX5+FGjRm2xMsLaaL9AUVQ0BD300EPpgAMOyLcQ833i8Ze+9KVKFgtgk3Xr1i1NmTIl9enTJ82fP3+tPUKxPfb37t07TZ06Nb8OKk37BYqionOC3va2t7kuBtDuxPye6dOnp4kTJzb0bMd8i1gFLub/xC0MHjw4B6Dhw4dXuMTwf7RfoAhqamEEgFo6kbz99tvT7Nmz84VQ4zpA0fsTQ+BiX8wBiqFH2267baWLCi1ov0B7JwQBbMahRccff3waO3ZsvoZCXAcolsG2Chy1QPsF2jMhCGALrLoV1/+JC6HGvWWwqSXaL9AeWSIbAAAoFCEIAAAoFCEIAAAoFCEIAAAoFCEIAAAoFCEIAAAoFCEIAAAolJq+TlBceT2sWLGi0kVJdXV1aeXKlalLly6pY0fZUv3WHm1Y/dYy7Vf91jLtV/3WsroqOgcuZYJSRmi3ISgqPAwcOLDSRQEAAKokI/To0WOdx3So35CoVMXJc9GiRal79+4VvwJ7JM8IY3//+9/zFeFRv7VGG1a/tUz7Vb+1TPtVv7VsRRWdA0esiQDUv3//9fZK1XRPUPxwO+20U6om8cuvdANoz9SvOq512rD6rWXar/qtZdpvMeq3x3p6gEpMXgEAAApFCAIAAApFCCqTzp07p/PPPz/fU37qd/NTx+q3lmm/6reWab/qt5Z1rtFz4JpeGAEAAGBj6QkCAAAKRQgCAAAKRQgCAAAKRQgCAAAKRQgqkyuuuCLtvPPOqUuXLumggw5Kf/jDH8r11oV37733pmOOOSZf/bdDhw7pxz/+ceHrpFwmT56cRowYkbp375769u2bjjvuuPTUU0+p3zKZPn162nfffRsuIHfwwQenO+64Q/1uJl/96lfz34gzzzxTHZfBBRdckOuz8W3PPfdUt2W0cOHCdMopp6Q+ffqkrl27pn322Sc99NBD6rhM4ryseRuO22mnnaaO2+j1119P5513Xtpll11y2x0yZEi66KKLUi2ttyYElcGMGTPSWWedlZcH/OMf/5j222+/NHr06PTCCy+U4+0L76WXXsp1GkGT8rrnnnvyfwYPPvhguvPOO9Orr76aRo0aleuctttpp53yifnDDz+cT2xGjhyZjj322PTEE0+o3jKbM2dOuuqqq3LopHz23nvvtHjx4obbfffdp3rLZOnSpenQQw9NnTp1yl+O/OUvf0mXXHJJ6tWrlzou49+Fxu03/p8LJ5xwgjpuo6997Wv5i75vfetb6cknn8zPv/71r6fLL7881QpLZJdB9PzEt+nREEJdXV0aOHBg+tSnPpU+//nPl+Mj+H/iG5wf/ehHuceC8luyZEnuEYpwdPjhh6vizaB3795pypQp6cMf/rD6LZNVq1alN7/5zenKK69MF198cdp///3TtGnT1G8ZeoKi5/2RRx5Rl5tBnB/cf//96be//a363UKil/j2229PTz/9dD6fYNONGTMmvfGNb0zXXnttw7b3vOc9uVfohhtuSLVAT1AbvfLKK/lb3re//e3/V6kdO+bnDzzwQFvfHrao5cuXN5yoU/6hAzfffHPuZYthcZRP9GYeffTRTf4OUx5xshhDkXfdddd08sknpwULFqjaMvnpT3+ahg8fnnsl4sunAw44IF1zzTXqdzOer8XJ+Yc+9CEBqAwOOeSQ9Otf/zrNnTs3P3/00UdzT/FRRx2VasXWlS5ArfvXv/6VT24iDTcWz//6179WrFywsaIHM74li+EZw4YNU4Fl8thjj+XQs3r16tStW7fck7nXXnup3zKJYBnDkGPYC+Uf5XD99denPfbYIw8lmjRpUjrssMPS448/nucR0jZ/+9vf8nCiGE7/hS98Ibfh008/PW2zzTbp1FNPVb1lFr2ay5YtSx/4wAfUbZl6MlesWJHnCW611Vb5XPjLX/5y/rKkVghBQMO36XFyY8x/ecUJZAwnil62W265JZ/cxHBDQajt/v73v6czzjgjj/OPRWkor8bf6MZcqwhFgwcPTjNnzjScs0xfPEVP0Fe+8pX8PHqC4m/wt7/9bSFoM4hhW9Gmo2eTtou/AzfeeGO66aab8tzB+H8uvkiN+q2VEC8EtdH222+fE/A///nPJtvj+Y477tjWt4ct4pOf/GQeJx0r8cVkfsonvtXdbbfd8uMDDzwwf9t72WWX5Un8tE0MRY4FaGI+UEl8GxntOOZorlmzJv99pjx69uyZhg4dmp555hlVWgb9+vVr8WXIm970pnTrrbeq3zKbP39++tWvfpVuu+02dVsmEydOzL1BJ554Yn4eKxtGPceqs7USgswJKsMJTpzYxLjIxt/uxHPj/ql2sZRlBKAYovWb3/wmL3XJ5hV/H+LknLY78sgj83DD+AaydItv1mM4RjwWgMq/AMW8efPyyTttF0OPm1+SIOZXRG8b5XXdddfleVcxd5Dy+M9//pPnwDcWf3Pj/7haoSeoDGI8b6Te+M/3LW95S16VKCY/f/CDHyzH2xde/Mfb+JvHZ599Np/gxOT9QYMGFb5+2joELrqyf/KTn+Qx/s8//3ze3qNHj7zCC21zzjnn5OEX0U5XrlyZ6/ruu+9Os2bNUrVlEG22+fy1bbfdNl9zxby2tjv77LPzNdripHzRokX5MhBxknPSSSeV4d359Kc/nSeXx3C4cePG5esLXn311flG+cRJeYSgOE/bemunveVyzDHH5DlA8f9bDIf705/+lC699NK88ETNqKcsLr/88vpBgwbVb7PNNvVvectb6h988EE1WyZ33XVXXHmrxe3UU09Vx23UWr3G7brrrlO3ZfChD32ofvDgwfnvwg477FB/5JFH1s+ePVvdbkZHHHFE/RlnnKGOy2D8+PH1/fr1y+13wIAB+fkzzzyjbsvoZz/7Wf2wYcPqO3fuXL/nnnvWX3311eq3zGbNmpX/X3vqqafUbRmtWLEi/62Nc98uXbrU77rrrvXnnntu/Zo1a2qmnl0nCAAAKBRzggAAgEIRggAAgEIRggAAgEIRggAAgEIRggAAgEIRggAAgEIRggAAgEIRggAAgEIRggAAgEIRggAAgEIRggAoqw984AOpQ4cOa70tW7ZMjQNQUUIQAGX3zne+My1evLjJ7dZbb1XTAFQFIQiAsuvcuXPacccdm9x69+7d5JgIRXvvvXc+duedd06XXHJJk/0jR47Mr4n9b3rTm9L3v//9hn0XXHBB2n///Ruev/LKK2m33XZr0tN0/fXXp549ezZ5z+eeey4f88gjjzRsi+c//vGPG55fe+21eduZZ57ZsC3KN23atIbnv/71r/Mxxx13XBtrCoBKEIIA2OIefvjhNG7cuHTiiSemxx57LIea8847LweXktNOOy3dd999ae7cuenjH/94OvXUU9P8+fNbfb9vfetb6Z///Geby/XSSy/lcnTr1m2tx9TV1aXPfOYz6zwGgOq2daULAEDxXHrppenII4/MgSMMHTo0/eUvf0lTpkzJc4rCe97znobj99xzz3z/2muvtXivf//73+niiy9On/vc5xreb1N9/etfT3vttVern1Py3e9+N61ZsyYde+yxadWqVW36PAAqQ08QAFvck08+mQ499NAm2+L5008/nV5//fWGbUcddVQeDjd27Nj0v//7v2nIkCEt3uvCCy9M//3f/53e+ta3tqlMixYtyuGs+bC8xv7zn/+kL37xizksbb217xEBapUQBEDV+s53vpOHzn32s5/N4WPJkiVN9kdoimO+9rWvtfmzzj333HTCCSek/fbbb63HRE/VHnvskY455pg2fx4AleNrLAC2uFjo4P7772+yLZ7HsLitttqqYduAAQPybdiwYemyyy5L99xzT3rve9/bsD+GwH3kIx/JiyL84x//2OTyxEIJt9xyS3rqqafWekyscDd9+vRcBgBqmxAEwBYXCwuMGDEiXXTRRWn8+PHpgQceyIsbXHnllXn/s88+m+bMmZMOOOCAVF9fn773ve+llStXpn322afhPZ555pm0YMGCfL8uq1evbngcc3lKq8nF+8YKb2Hq1Km5TP3791/r+1xxxRV5nlKUCYDaJgQBsMW9+c1vTjNnzkxf+tKXchDq169fnttTWhQhFib4xje+kZ544okcVmJhhB/+8Id5KFrjldwmTZrUYuntxpYvX566du3aYvtBBx2Ug1YsfR26d++eh9ytS6wK9+Uvf7kNPzUA1aJDffzvAgAFEtcYimsDlUIQAMViYQQACidWnCsNhQOgePQEAQAAhaInCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAAKBQhCAAASEXy/wGQSxjo88TzGwAAAABJRU5ErkJggg==", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# 1. Генерация данных для графиков\n", + "x = np.linspace(0, 3, 30)\n", + "y_sin = np.sin(x)\n", + "y_tan = np.tan(x)\n", + "\n", + "# 2. Визуализация графика sin(x) и tan(x) \n", + "plt.figure(figsize=(10, 5))\n", + "plt.plot(x, y_sin, label=\"sin(x)\", color=\"red\", linewidth=2)\n", + "plt.plot(x, y_tan, label=\"tan(x)\", color=\"blue\", linewidth=2)\n", + "plt.xlabel(\"Значение X\")\n", + "plt.ylabel(\"Значение Y\")\n", + "plt.title(\"График sin(x) и tan(x)\")\n", + "plt.axhline(0, color=\"black\", linewidth=0.5, linestyle='--') # Линия уровня y=0\n", + "plt.axvline(0, color=\"black\", linewidth=0.5, linestyle='--') # Линия уровня x=0\n", + "plt.legend()\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n", + "# 3. Столбчатая диаграмма (Bar chart)\n", + "np.random.seed(99)\n", + "random_values = np.random.randint(1, 9, size=9)\n", + "\n", + "plt.figure(figsize=(10, 5))\n", + "plt.bar(range(len(random_values)), random_values, color=\"green\", alpha=0.75, edgecolor='black')\n", + "plt.xlabel(\"Индексы\")\n", + "plt.ylabel(\"Случайные числа\")\n", + "plt.title(\"Столбчатая диаграмма\")\n", + "plt.grid(axis='y', alpha=0.3)\n", + "plt.show()\n", + "\n", + "# 4. Точечная диаграмма (Scatter plot)\n", + "plt.figure(figsize=(10, 5))\n", + "plt.scatter(range(len(random_values)), random_values, color=\"black\", alpha=0.75, s=100)\n", + "plt.xlabel(\"Позиции\")\n", + "plt.ylabel(\"Значения\")\n", + "plt.title(\"Диаграмма рассеяния\")\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n", + "# 5. Гистограмма распределения (Histogram)\n", + "plt.figure(figsize=(10, 5))\n", + "plt.hist(random_values, bins=6, color=\"pink\", alpha=0.75, edgecolor='black')\n", + "plt.xlabel(\"Диапазоны значений\")\n", + "plt.ylabel(\"Частота\")\n", + "plt.title(\"Гистограмма распределения\")\n", + "plt.grid(axis='y', alpha=0.3)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "17d2b0bf-46a5-4e5a-acbe-760c80d769ae", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Таблица создана:\n", + " Имя Возраст Оценка Класс\n", + "0 Ренат 23 81 A\n", + "1 Никита 22 78 B\n", + "2 Кирилл 19 86 A\n", + "3 Илья 25 76 B\n", + "4 Егор 20 84 A\n", + "5 Игорь 28 70 B\n", + "\n", + "==================================================\n", + "\n" + ] + }, + { + "data": { + "image/png": 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zwP/8z/9sNDxFzVVTNTD1a3VCfKZqP090qI99jteK4d5XRNSeRcg966yzGm1aGO9fdT+o5bW8+1G7yVo8Hp+JaNoVA36sDNGkLobejv5c9ZuLRfPdGD47+v5E/7Zltaz7EE3aqvsCLstnv/o7qP7nO+ZPamxQl6jdiXATg17Un9+suglutRjYIQayiEATg8HU/x6obt7ZVBnic7Ssze3iOyI+f9FELwZUAVY9TfWAlap65KqYoySuDkfn72jeE6O8xc+NdbKP0BEnNDGaXJw07bLLLvmEJUJNXAWO3689j9PyiCvbcSISz7/FFlvkE5hoShN9U+o3m4nQFH0jYuS0mM8mRk+LEbNicsuofYgmQ3GSFGJumJiYMprqxYhcV199dZ3nqu7YH9uF6vmn4gpynHRH0624Ch41dDFoQuxrPFdcYb/hhhvyc0Zzphh0IZqMxTwxy3LyGM16ojlcbB/N7+KYxgAeUbsWJ4dx1Tv6TSzLQAxFYh833XTTfHyLRDh++umn049//OPchClq6CJsRfOn2L/oGxTHeGkBLEQfkBh9L0JbNAuN5ojV8x/FyevFF1/caH+zqNmsfu/qT8Acoj9J9MuL9yJO7OOzECeuUSMZ8+pEzUucyEeojQA9dOjQZer319L7UV+MuhbvaUx2HH9LtUd3aynV87BFgI8LI3GBIY7DzTffnGuXo0lZ/QFYmqOxfYi/pwg8cSEhAs6y1DjFdlGW+DuJObjicx5/a/G5i4sk9fsuxt9F/J3H5ze+G2Letgg+0fwwLjrE71TPaxXBP45BzNkUA0TEZyVqUeO7IcJjzF8Xvx8XYGKJ7aIJ4HbbbZe3iXnB4vmWpalq9JGKBSijlTjUOdAO53FqzAcffFD65je/mecR6tq1a5435dxzz81zCzU1V9CcOXPy3D6DBw/Ov9OrV6/SVlttleeJqj3P0YrMNRTzF8Xv9ujRI8/P87Wvfa00ffr0Rp9r9uzZpe985zt5TqLu3buXVl999bwfhx56aOm2225rMDfPsiyNlftXv/pVaddddy196lOfKnXu3DnPGbTTTjuVLr744tI///nPvM1//dd/lbbeeuvSpZdeWmdOq2WZPyjm1DrttNNy2eO4xn5vttlmpWOPPbb0wAMP1Nl2RebIirl8lmUuoBBz21x11VV5Xp4oT5Srf//+pT322KM0efLk0ocfflhaFnEsLrroojyvVjxHzFkV5f/1r3/d5NxBy7LUnyPnb3/7W+mYY47J+xLzTMV7Fa956qmnlp544okVmsdpefejsfmXquf6Oeigg1bKPE4hPpOx3/FYfF5jrqkDDjig9MILLxS+5vLsQ/y9xeekqXI2NY9TrI/fi2O55pprlr761a+WnnrqqUY/x7V/J+Y2W2uttfL7HHORxRxz//M//9NgLqaf/vSnpe222y5/l6y22mr57+uEE04ozZw5s2a7d999N8/ZFPNDdevWLb+/l19+eZ5jqrHPSVPHvLallR9oeR3in3IGN4BVKfpeRO1R1Ng0NkT0iooapLjqXjRc97JuR/nE+xPz/0St1E477eStAGjn9HECAAAooI8TQAuK/gzLMjLesm5H+URH/Oh7Fv2bAEBwAmhBEYhacjvKJwYRiMEhACDo4wQAAFBAHycAAIACghMAAECBdtfHacmSJXnW7+j0GxM/AgAA7VOpVMqTnsdAQEWTdre74BShqV+/fuUuBgAAUCHefPPN9OlPf3qp27S74BQ1TdUHp2fPnuUuDgAAUCZz587NlSrVGWFp2l1wqm6eF6FJcAIAADosQxceg0MAAAAUEJwAAAAKCE4AAAAFBCcAAIACghMAAEABwQkAAKCA4AQAAFBAcAIAACggOAEAABQQnAAAAFpTcFq8eHE6++yz04ABA1L37t3TwIED07nnnptKpVKd7f7617+mvffeO/Xq1Sv16NEj/cd//EeaOXNm2coNAAC0bVWpglx44YVp8uTJ6brrrktbbLFFmjZtWjr66KNzQDr11FPzNq+++mraYYcd0jHHHJPGjx+fevbsmf7yl7+kbt26lbv4AABAG9WhVL86p4z22muv1KdPnzRlypSadfvvv3+ufZo6dWq+f/DBB6fOnTunn//858v1GnPnzs1BbM6cOTl0AQAA7dPcZmSDiqpxGjp0aLr66qvTK6+8kgYNGpSee+659Mgjj6RLLrkkP75kyZJ0zz33pG9961tp+PDh6ZlnnsnN+saNG5f23XffRp9z4cKFeal9cMKiRYvyQuu2YMGC9Oabb5a7GLQj/fr1U8MNAG1Ec/JARQWnsWPH5mAzePDg1KlTp9znacKECemwww7Lj7/77rvpww8/TBdccEE677zzctO+e++9N+23337poYceSsOGDWvwnBMnTsxN+uqLZoDRP4rWbdasWemKK64odzFoR0466aS0wQYblLsYAEALmDdvXutsqvfLX/4ynXnmmem///u/cx+nZ599No0ZMybXOI0aNSq99dZb+YTlkEMOSTfccEPN78VAERGCbrzxxmWqcYorxu+9956mem2AGqflE4OpxEWFqK3t379/C78rbZsaJwBoOyIb9O7du/U11YvQFLVO0Y8pDBkyJM2YMSOf4EVwWnvttVNVVVXafPPN6/zeZpttlpv0NaZr1655qS+eJxZat9VXXz2//zRP1OiGaOoazWIBANqjqmbkgYoajnz+/PmpY8eODU7wom9T6NKlSx56/OWXX66zTfSJ2nDDDVdpWQEAgPajoqpcRo4cmfs0RdOhaKoXgz9EM73Ro0fXqZU66KCD0o477ph23nnn3MfprrvuSn/4wx/KWnYAAKDtqqjgNGnSpDwBbnS+joEg+vbtm44//vh0zjnn1Gzzta99LV155ZW5+V7M7bTpppumW2+9Nc/tBAAAsDJU1OAQq4J5nOD/Nm897rjj8vD/+jgBAO3V3GbM41RRfZwAAAAqkeAEAABQQHACAAAoIDgBAAAUEJwAAAAKCE4AAAAFBCcAAIACghMAAEABwQkAAKCA4AQAAFBAcAIAACggOAEAABQQnAAAAAoITgAAAAWqijZg1XrnnXfSnDlzHHZWqhkzZtS5hZWpV69eqU+fPg4yAK1ah1KpVErtyNy5c/N/4hFOevbsmSotNB1+xJHpk48XlrsoAC2mc5euaerPrxeeAGjV2UCNUwWJNyxC00efGZaWdOtV7uIArLCOC+ak9Nof8/ebWicAWjPBqQJFaFrSY+1yFwMAAPh/DA4BAABQQHACAAAoIDgBAAAUEJwAAAAKCE4AAAAFBCcAAIACghMAAEABwQkAAKCA4AQAAFBAcAIAACggOAEAABQQnAAAAAoITgAAAAUEJwAAgAKCEwAAQGsKTosXL05nn312GjBgQOrevXsaOHBgOvfcc1OpVGp0+xNOOCF16NAh/fCHP1zlZQUAANqPqlRBLrzwwjR58uR03XXXpS222CJNmzYtHX300alXr17p1FNPrbPt7bffnh5//PHUt2/fspUXAABoHyoqOD366KNpn332SSNGjMj3N9poo3TjjTemJ554os52s2bNSqecckr63e9+V7MtAABAuwhOQ4cOTVdffXV65ZVX0qBBg9Jzzz2XHnnkkXTJJZfUbLNkyZJ0xBFHpDPPPDPXShVZuHBhXqrNnTs33y5atCgvldZUMXT86P1yFwWgRVR/n8X3W6V95wLAomb831RRwWns2LE52AwePDh16tQp/0c7YcKEdNhhh9VpzldVVdWg6V5TJk6cmMaPH99gfTQD7NGjR6okUZMWur/+p3IXBaBFvfDCC2n27NmOKgAVZd68ea0zON10003pF7/4RbrhhhtybdKzzz6bxowZk/sxjRo1Kj311FPpRz/6UXr66afzoBDLYty4cemMM86ouR/BrF+/fmmbbbZJPXv2TJVk+vTp+fajATumJd3XLHdxAFqkxikuBg0ZMiRtsskmjigAFaW6NVqrC07R/C5qnQ4++OB8P/6jnTFjRq41iuD08MMPp3fffTf179+/5neiVuqb3/xmHlnvjTfeaPCcXbt2zUt9UWsVSyWJWrYQoWlJj7XLXRyAFv1+q7TvXACoasb/TRX1v9j8+fNTx44dG/xnG/2aQvRt2nXXXes8Pnz48Lw+Rt8DAABYGSoqOI0cOTL3aYoapWiq98wzz+SBIUaPHp0f7927d15q69y5c1pvvfXSpptuWqZSAwAAbV1FBadJkyblCXBPOumk3CQv+jYdf/zx6Zxzzil30QAAgHasooLTGmuskfsqxbKsGuvXBAAA0JLqdigCAACgAcEJAACggOAEAABQQHACAAAoIDgBAAAUEJwAAAAKCE4AAAAFBCcAAIACghMAAEABwQkAAKCA4AQAAFBAcAIAACggOAEAABQQnAAAAAoITgAAAAUEJwAAgAKCEwAAQAHBCQAAoIDgBAAAUEBwAgAAKCA4AQAAFBCcAAAACghOAAAABQQnAACAAoITAABAgaqiDVj1Oi6Y47ADbYLvMwDaCsGpgvTq1St17tI1pdf+WO6iALSY+F6L7zcAaM0EpwrSp0+fNPXn16c5c9Q4sXLNmDEjTZgwIZ111llpww03dLhZqSI0xfcbALRmglOFiZMLJxisKhGaBg0a5IADABQwOAQAAEABwQkAAKCA4AQAAFBAcAIAAGhNwWnx4sXp7LPPTgMGDEjdu3dPAwcOTOeee24qlUr58U8++ST913/9VxoyZEjq0aNH6tu3bzryyCPTW2+9Ve6iAwAAbVhFjap34YUXpsmTJ6frrrsubbHFFmnatGnp6KOPzkPZnnrqqWn+/Pnp6aefzuFqyy23TP/+97/Taaedlvbee++8LQAAQJsPTo8++mjaZ5990ogRI/L9jTbaKN14443piSeeyPcjQN133311fueyyy5L2267bZo5c2bq379/WcoNAAC0bRUVnIYOHZquvvrq9Morr+S5ZZ577rn0yCOPpEsuuaTJ34nJYjt06JDWXHPNRh9fuHBhXqrNnTs33y5atCgv0B5Fs9jqW38HAEB7tagZeaCigtPYsWNzsBk8eHDq1KlTPqmbMGFCOuywwxrdfsGCBbnP0yGHHJJ69uzZ6DYTJ05M48ePb7A+mvZFPyloj2bNmpVvX3jhhTR79uxyFwcAoCzmzZvXOoPTTTfdlH7xi1+kG264IfdxevbZZ9OYMWPyIBCjRo2qs20MFPH1r389DxwR/aKaMm7cuHTGGWfU3I9g1q9fv7TNNts0GbagrZs+fXq+jYFWNtlkk3IXBwCgLKpbo7W64HTmmWfmWqeDDz645qRuxowZudaodnCqDk3x2IMPPrjUANS1a9e81FdVVZUXaI+iRrf61t8BANBeVTUjD1RUcohR8zp2rDtCepzYLVmypEFoiivmDz30UOrdu3cZSgoAALQnFRWcRo4cmfs0xeh40VTvmWeeyQNDjB49uiY0HXDAAXlI8rvvvjv3gXr77bfzY2uttVbq0qVLmfcAAABoiyoqOE2aNCnP0XTSSSeld999N/dtOv7449M555xT06H9zjvvzD9vtdVWdX43ap922mmnspQbAABo2yoqOK2xxhrphz/8YV4aE/M6xWAQAAAAq1LdDkUAAAA0IDgBAAAUEJwAAAAKCE4AAAAFBCcAAIACghMAAEABwQkAAKCA4AQAAFBAcAIAACggOAEAABQQnAAAAAoITgAAAAUEJwAAgAKCEwAAQIGqog2gki1YsCDNnDmz3MVodWbMmFHnlmXXv3//1K1bN4cMANoZwYlWLULTcccdV+5itFoTJkwodxFanauvvjoNGjSo3MUAAFYxwYlWf/U/TmRhVX7mAID2R3CiVYsmU67+AwCwshkcAgAAoIDgBAAAUEBwAgAAKCA4AQAAFBCcAAAACghOAAAABQQnAACAAoITAABAAcEJAACggOAEAABQQHACAAAoIDgBAAAUEJwAAAAKCE4AAAAFBCcAAIDWFJwWL16czj777DRgwIDUvXv3NHDgwHTuueemUqlUs038fM4556T1118/b7Prrrum6dOnl7XcAABA21ZRwenCCy9MkydPTpdddln661//mu//4Ac/SJMmTarZJu7/+Mc/TldeeWX685//nHr06JGGDx+eFixYUNayAwAAbVeHUu3qnDLba6+9Up8+fdKUKVNq1u2///65Zmnq1Km5tqlv377pm9/8ZvrP//zP/PicOXPy71x77bXp4IMPbvCcCxcuzEu1uXPnpn79+qX33nsv9ezZcxXtGQAAUGkiG/Tu3TtniqJsUJUqyNChQ9PVV1+dXnnllTRo0KD03HPPpUceeSRdcskl+fHXX389vf3227l5XrVevXqlL37xi+mxxx5rNDhNnDgxjR8/vsH6adOm5doqAACgfZo3b94yb1tRwWns2LE59Q0ePDh16tQp93maMGFCOuyww/LjEZpC1DDVFverH6tv3Lhx6YwzzmhQ47TNNtuocQIAgHZs7ty5rTM43XTTTekXv/hFuuGGG9IWW2yRnn322TRmzJjcPG/UqFHL9Zxdu3bNS31VVVV5AQAA2qeqZuSBikoOZ555Zq51qm5yN2TIkDRjxozc3C6C03rrrZfXv/POO3lUvWpxf6uttipbuQEAgLatokbVmz9/furYsW6RosnekiVL8s8xTHmEpwceeKBO9VqMrvelL31plZcXAABoHyqqxmnkyJG5T1P//v1zU71nnnkmDwwxevTo/HiHDh1y073zzjsvbbLJJjlIxbxP0ZRv3333LXfxAQCANqqiglPM1xRB6KSTTkrvvvtuDkTHH398nvC22re+9a08+sVxxx2X3n///bTDDjuke++9N3Xr1q2sZQcAANquiprHaVWIpn0xhPmyjNUOAAC0Xc3JBhXVxwkAAKASCU4AAAAFBCcAAIACghMAAEABwQkAAKCA4AQAAFBAcAIAAFhVE+B+8MEHefzzJUuWNHisf//+LfUyAAAArS84TZ48OV1yySXptddea3KbxYsXr+jLAAAAtM6meldeeWU6+eST08Ybb5zOO++8VCqV0pgxY9LYsWPTeuutl7bccss0ZcqUlistAABAawtOkyZNSsOHD0+//e1v03HHHZfXjRgxIk2YMCG99NJLufnee++911JlBQAAaH3B6dVXX00jR47MP3fu3Dnffvzxx/m2V69e6dhjj01XXHFFS5QTAACgdQanCEeLFi3KP/fs2TOtttpq6c0336x5fI011khvv/32ipcSAACgtQanz372s+m5556rub/ddtvlwSJmzZqVA9RVV12VBg0a1BLlBAAAaJ2j6h1++OF5gIiFCxemrl27pvHjx6ddd921ZvjxaL536623tlRZAQAAyqJDKYbCa0ExLPldd92VOnXqlHbfffeKq3GaO3dubmIYc05F80IAAKB9mtuMbNDiwanSCU4AAEBzs8EK9XH629/+ttTH33nnnXTAAQesyEsAAACU3QoFpx122CE9/vjjjT7205/+NA0ePDg98sgjK/ISAAAArTs4bbvttnkwiLvvvrtm3fTp09POO++cJ8SNOZ5iIlwAAIB2O6peDAJxzDHHpP322y9NmjQpvffee+ncc89N66+/frr33nvz4BAAAADtOjjFyHnXXntt6tu3bzrxxBNThw4d0pgxY3J4islwAQAAUntvqlft/PPPTz/+8Y9zcJo/f37q3r17SzwtAABA669x+v73v1/n/jbbbJOuvvrq9MYbb6QvfelLeV2EqbPPPnvFSgkAAFBGKzSPU8eOxRVWEZwWL16cKoV5nAAAgOZmgxWqcVqyZMmK/DoAAED76eMEAADQlglOAAAABVaoqV70cYo+TEsTjy9atGhFXgYAAKD1BqeTTjqpJjh99NFH6Wc/+1naZ5990qc//emWKh8AAEDrHlWvtvfeey+ts8466f7770+77LJLqlRG1QMAAJqbDfRxAgAAKFBRwWmjjTbKTf/qLyeffHJ+/O23305HHHFEWm+99VKPHj3SF77whXTrrbeWu9gAAEAbt0J9nBpTNFjE0jz55JN1Jst98cUX02677ZYOPPDAfP/II49M77//frrzzjvT2muvnW644Yb09a9/PU2bNi19/vOfb5HyAwAAtGhw2nvvvWt+/uSTT/LtWWedlUNN7SD161//epmeL/pI1XbBBRekgQMHpmHDhuX7jz76aJo8eXLadttt8/3vfOc76dJLL01PPfWU4AQAAFRmcHr++efr1DBtuOGG6R//+EdeVrQG6uOPP05Tp05NZ5xxRs1zDB06NP3qV79KI0aMSGuuuWa66aab0oIFC9JOO+3U5PMsXLgwL7U7gIUYIt0w6QDQNsT5wJtvvlnuYtCO9OvXL3Xr1q3cxWAFNScPrFBweuONN9LKcscdd+RmeUcddVTNughKBx10UOrdu3eqqqpKq622Wrr99tvTxhtv3OTzTJw4MY0fP77B+mjeF/2kAIDWb9asWemKK64odzFoR2Jang022KDcxWAFzZs3b9UPR97Shg8fnrp06ZLuuuuumnWnnHJKeuKJJ9L555+fmwNGuIqmeg8//HAaMmTIMtc4xRWCGD69aMhBAKB1UOPUfDNnzswXmMeNG5f69++/Et6Vtk2NU9sQ2SAqZZZlOPIVHhwiBnO4+eab00MPPZTefffd9P3vfz+HmHjxBx54IG2//fapT58+zXrOGTNm5Pmgbrvttpp1r776arrsssvygBFbbLFFXrflllvm0HT55ZenK6+8stHn6tq1a17qixqrWACA1m/11VdPm222WbmL0ap06tQp3w4YMCANGjSo3MWBsmhOHlih4cijKV0Eo0MPPTTdeOONebS7f/7znzVfYKeeemr60Y9+1Oznveaaa9K6666b+zJVmz9//v8tcMeODf7olyxZsiK7AQAAsPKC09ixY9Nf/vKX9Lvf/S699tprqXarvwg0BxxwQPrNb37TrOeMEBTBadSoUXUS4ODBg3NfpuOPPz4314saqIsvvjjdd999ad99912R3QAAAFh5wSn6GEW/o5hrqbHR86Lat7kDSEQTvWhzO3r06DrrO3funENYDFk+cuTI9LnPfS5df/316brrrktf/epXV2Q3AAAAlmqFOvlEP6ZoF9uUmNupuUN+77777nVqrmrbZJNN0q233trscgIAAJStxikmp3366aebfPz3v/992nzzzVfkJQAAAFp3cDr22GPTz372szwpbXUtUTTZi+G/zzrrrHTvvffmPkkAAADttqneaaedlgeHOOSQQ9Kaa66Z18UIezFHUjTRi9B0zDHHtFRZAQAAWl9witqln/zkJ3kEvFtuuSVNnz49j4oXTfi+/vWvpx133LHlSgoAAFAmLTID7A477JAXAACAtqhFglNTXnzxxXTJJZfU3B8yZEg6/fTTV+ZLAgAAVFZwinmUluaFF17I8ywdeeSRK/IyAAAArTc4HXXUUbmfU1PzLoV4/JprrlmRlwEAAGi9wenJJ59c6uOPPvpoGjNmzIq8BAAAQOsOTltvvfVSH//Xv/61Ik8PAADQ+ifABQAAaA8EJwAAgJXZVG/27NlLfXzu3Lkr8vQAAACtPzitvfbaedQ8AACAtmyFgtM555wjOAFAC3vnnXfSnDlzHFdWqhkzZtS5hZWpV69eqU+fPq36IHcoLW0SpmU0b9683CxvjTXWSKuvvnqqZFHOeOPiP6SePXuWuzgA0CA0HX7EkemTjxc6MkCb0blL1zT159dXXHhqTjZY7hqnN954I/3gBz9I99xzT/r73/9es36DDTZII0eOTGeeeWbaaKONlvfpAaBdiv+8IzR99JlhaUm3XuUuDsAK67hgTkqv/TF/v1VacGqO5QpOv/71r9MRRxyRPvzwwxyOIihFbdMHH3yQnn/++TR58uR0/fXXp6lTp6Z99tmn5UsNAG1chKYlPdYudzEAWN7g9NJLL6WDDjoofeYzn0lXXXVV+vKXv9xgm4cffjidcMIJ6eCDD05PPfVU2nzzzZv7MgAAAK13Hqfzzz8/j6b3yCOPNBqaQqyP8NS7d+80ceLElignAABA6wlODz30UDrmmGPSWmuttdTt4vHRo0enBx98cEXKBwAA0PqC03vvvbfMgz4MGDAgbw8AANCuglM003v99deXadvYLrYHAABoV8Fpp512SlOmTEmzZ89e6nbxeGwX2wMAALSr4PTtb387N7/bcccd06OPPtroNrF+2LBhebtx48a1RDkBAABaz3DkMbT4DTfckI488sg8el70d9pyyy3rzOMUTfS6deuW53HaYostVk7JAQAAKnkC3P322y9ttdVW6Qc/+EG6++670x133FHz2Prrr5+OPfbYdOaZZ6aNN964JcsKAADQeoJTiAlwr7zyyvzz3Llzc21T1Dr17NmzJcsHAADQeoNTbRGWBCYAAKCtavbgEAAAAO2N4AQAAFBAcAIAACggOAEAALSm4BRzQnXo0KHBcvLJJ9ds89hjj6Vddtkl9ejRIw9IERPxfvTRR2UtNwAA0La1yKh6LeXJJ59Mixcvrrn/4osvpt122y0deOCBNaFpjz32SOPGjUuTJk1KVVVV6bnnnksdO1ZU/gMAANqYigpO66yzTp37F1xwQRo4cGAaNmxYvn/66aenU089NY0dO7Zmm0033XSVlxMAAGhfKio41fbxxx+nqVOnpjPOOCM313v33XfTn//853TYYYeloUOHpldffTUNHjw4TZgwIe2www5NPs/ChQvzUi0m6w2LFi3KCwBUkuqWFx0/er/cRQFoER3/3/dZfL9V2vl3c8pTscHpjjvuSO+//3466qij8v3XXnst337ve99LF110Udpqq63S9ddfn77yla/kJn2bbLJJo88zceLENH78+Abrp02blvtJAUAlmTVrVr7t/vqfyl0UgBb1wgsvpNmzZ1fUUZ03b94yb9uhVCqVUgUaPnx46tKlS7rrrrvy/UcffTRtv/32uX/T+eefX7Pd5z73uTRixIgckJa1xqlfv37pvffey4NLAEAlmT59ejrxxBPTRwN2TEu6r1nu4gC0SI1T99f/lCZPntxkZUe5RDbo3bt3mjNnTmE2qMgapxkzZqT7778/3XbbbTXr1l9//Xy7+eab19l2s802SzNnzmzyubp27ZqX+mJgiVgAoJJ06tQp30ZoWtJj7XIXB6BFv9+qKuz8uznlqcjh6K655pq07rrr5pqk2kOV9+3bN7388st1tn3llVfShhtuWIZSAgAA7UVlRb64wrZkSQ5Oo0aNqpMAY4CIM888M333u99NW265Ze7jdN1116W//e1v6ZZbbilrmQEAgLat4oJTNNGLpnejR49u8NiYMWPSggUL8rDk0bEsAtR9992XhywHAABoN8Fp9913T0sbryLmcKo9jxMAAMDKVpF9nAAAACqJ4AQAAFBAcAIAACggOAEAABQQnAAAAAoITgAAAAUEJwAAgAKCEwAAQAHBCQAAoIDgBAAAUEBwAgAAKCA4AQAAFBCcAAAACghOAAAABQQnAACAAoITAABAAcEJAACggOAEAABQQHACAAAoIDgBAAAUEJwAAAAKCE4AAAAFBCcAAIACghMAAEABwQkAAKCA4AQAAFBAcAIAACggOAEAABQQnAAAAAoITgAAAAUEJwAAgAKCEwAAQAHBCQAAoDUFp4022ih16NChwXLyySfX2a5UKqU999wzP3bHHXeUrbwAAED7UJUqyJNPPpkWL15cc//FF19Mu+22WzrwwAPrbPfDH/4whyYAAIB2F5zWWWedOvcvuOCCNHDgwDRs2LCadc8++2y6+OKL07Rp09L6669fhlICAADtTUUFp9o+/vjjNHXq1HTGGWfU1C7Nnz8/HXrooenyyy9P66233jI9z8KFC/NSbe7cufl20aJFeQGASlK75QVAW/t+W1Rh59/NKU/FBqfou/T++++no446qmbd6aefnoYOHZr22WefZX6eiRMnpvHjxzdYHzVWPXr0aLHyAkBLmDVrlgMJtEkvvPBCmj17dqok8+bNa/3BacqUKXkAiL59++b7d955Z3rwwQfTM88806znGTduXK61ql3j1K9fv7TNNtuknj17tni5AWBFTJ8+3QEE2qQhQ4akTTbZJFWS6tZorTY4zZgxI91///3ptttuq1kXoenVV19Na665Zp1t999///TlL385/eEPf2j0ubp27ZqX+qqqqvICAJWkU6dO5S4CwEr7fquqsPPv5pSnskr+/1xzzTVp3XXXTSNGjKhZN3bs2HTsscc2SK2XXnppGjlyZBlKCQAAtBcVF5yWLFmSg9OoUaPqJMAYDKKxASH69++fBgwYsIpLCQAAtCcVNQFuiCZ6M2fOTKNHjy53UQAAACqzxmn33XdPpVJpmbZd1u0AAADaVI0TAABApRGcAAAACghOAAAABQQnAACAAoITAABAAcEJAACggOAEAABQQHACAAAoIDgBAAAUEJwAAAAKCE4AAAAFBCcAAIACghMAAEABwQkAAKBAVdEGAMCq13HBHIcdaBM6tpHvM8EJACpIr169UucuXVN67Y/lLgpAi+ncpWv+fmvNBCcAqCB9+vRJU39+fZozp21coaVyzZgxI02YMCGdddZZacMNNyx3cWjjevXqlb/fWjPBCQAqTJxctPYTDFqPCE2DBg0qdzGg4hkcAgAAoIDgBAAAUEBwAgAAKCA4AQAAFBCcAAAACghOAAAABQQnAACAAoITAABAAcEJAACggOAEAABQQHACAAAoIDgBAAAUEJwAAAAKCE4AAAAFBCcAAIDWFJw22mij1KFDhwbLySefnGbPnp1OOeWUtOmmm6bu3bun/v37p1NPPTXNmTOn3MUGAADauKpUQZ588sm0ePHimvsvvvhi2m233dKBBx6Y3nrrrbxcdNFFafPNN08zZsxIJ5xwQl53yy23lLXcAABA21ZRwWmdddapc/+CCy5IAwcOTMOGDcs1T7feemvNY7F+woQJ6fDDD0+LFi1KVVWN78rChQvzUm3u3Ln5Nn4nFgCA9qj6YnXcOieivVrUjDxQUcGpto8//jhNnTo1nXHGGTk0NSaa6fXs2bPJ0BQmTpyYxo8f32D9tGnTUo8ePVq0zAAArcWsWbPy7QsvvJC7REB7NG/evNYfnO644470/vvvp6OOOqrRx//1r3+lc889Nx133HFLfZ5x48bl8FW7xqlfv35pm222yaELAKA9mj59er4dMmRI2mSTTcpdHCiL6tZorTo4TZkyJe25556pb9++je7giBEjcl+n733ve0t9nq5du+alvqilWlpNFQBAW9apU6eaW+dEtFdVzcgDFZkcYuCH+++/P912220NHvvggw/SHnvskdZYY410++23p86dO5eljAAAQPtRUcORV7vmmmvSuuuum2uV6tc07b777qlLly7pzjvvTN26dStbGQEAgPaj4mqclixZkoPTqFGj6lSdVYem+fPn50Ej4n51m8QYja+6uhkAAKDNB6doojdz5sw0evToOuuffvrp9Oc//zn/vPHGG9d57PXXX8+T5wIAALSL4BS1SqVSqcH6nXbaqdH1AAAA7bKPEwAAQCURnAAAAAoITgAAAAUEJwAAgAKCEwAAQAHBCQAAoIDgBAAAUEBwAgAAKCA4AQAAFBCcAAAACghOAAAABQQnAACAAoITAABAAcEJAACggOAEAABQQHACAAAoIDgBAAAUEJwAAAAKCE4AAAAFBCcAAIACghMAAEABwQkAAKCA4AQAAFBAcAIAACggOAEAABQQnAAAAAoITgAAAAUEJwAAgAKCEwAAQAHBCQAAoIDgBAAAUEBwAgAAaE3BaaONNkodOnRosJx88sn58QULFuSfe/funVZfffW0//77p3feeafcxQYAANq4igpOTz75ZPrHP/5Rs9x33315/YEHHphvTz/99HTXXXelm2++Of3xj39Mb731Vtpvv/3KXGoAAKCtq0oVZJ111qlz/4ILLkgDBw5Mw4YNS3PmzElTpkxJN9xwQ9pll13y49dcc03abLPN0uOPP5622267MpUaAABo6yoqONX28ccfp6lTp6YzzjgjN9d76qmn0ieffJJ23XXXmm0GDx6c+vfvnx577LEmg9PChQvzUm3u3Ln5dtGiRXkBAFq/aM7/5ptvlrsYrcrMmTPz7euvv54WL15c7uK0Ov369UvdunUrdzFYQc3JAxUbnO644470/vvvp6OOOirff/vtt1OXLl3SmmuuWWe7Pn365MeaMnHixDR+/PgG66dNm5Z69OixEkoOAKxqs2bNSldccYUDvxziXInmO+mkk9IGG2zg0LVy8+bNa/3BKZrl7bnnnqlv374r9Dzjxo3LtVa1a5ziCsE222yTevbs2QIlBQAqocZpyJAh5S4G7Ygap7ahujVaqw1OM2bMSPfff3+67bbbatatt956ufle1ELVrnWKUfXisaZ07do1L/VVVVXlBQBo/WK03ej3DNAczckDFTWqXrUY9GHddddNI0aMqFm39dZbp86dO6cHHnigZt3LL7+c2+d+6UtfKlNJAQCA9qDiqlyWLFmSg9OoUaPqJMBevXqlY445Jje7W2uttXIzu1NOOSWHJiPqAQAA7So4RRO9qEUaPXp0g8cuvfTS1LFjxzzxbYyUN3z4cB1BAQCAla5DqVQqpXbWASxqr2JeKINDAABA+zW3GdmgIvs4AQAAVBLBCQAAoIDgBAAAUEBwAgAAKCA4AQAAFBCcAAAACghOAAAABQQnAACAAoITAABAAcEJAACgQFVqZ0qlUr6dO3duuYsCAACUUXUmqM4IS9PugtMHH3yQb/v161fuogAAABWSEXr16rXUbTqUliVetSFLlixJb731VlpjjTVShw4dyl0cKNvVlbh48Oabb6aePXt6FwDaIf8XQMo1TRGa+vbtmzp2XHovpnZX4xQH5NOf/nS5iwEVIUKT4ATQvvm/gPauV0FNUzWDQwAAABQQnAAAAAoITtAOde3aNX33u9/NtwC0T/4vgOZpd4NDAAAANJcaJwAAgAKCEwAAQAHBCQAAoIDgBAAAUEBwgnbmscceS506dUojRowod1EAKIOjjjoqdejQoWbp3bt32mOPPdLzzz/v/YClEJygnZkyZUo65ZRT0p/+9Kf01ltvlbs4AJRBBKV//OMfeXnggQdSVVVV2muvvbwXsBSCE7QjH374YfrVr36VTjzxxFzjdO2115a7SACUaQ6n9dZbLy9bbbVVGjt2bHrzzTfTP//5T+8HNEFwgnbkpptuSoMHD06bbrppOvzww9PPfvazZCo3gPYtLqpNnTo1bbzxxrnZHtC4qibWA220mV4EpupmGnPmzEl//OMf00477VTuogGwCt19991p9dVXzz/Pmzcvrb/++nldx46uqUNT/HVAO/Hyyy+nJ554Ih1yyCH5frRnP+igg3KYAqB92XnnndOzzz6bl/i/Yfjw4WnPPfdMM2bMKHfRoGKpcYJ2IgLSokWLUt++fWvWRTO9aOd+2WWXpV69epW1fACsOj169MhN86r99Kc/zf8P/OQnP0nnnXeetwIaocYJ2oEITNdff326+OKLa64wxvLcc8/lIHXjjTeWu4gAlFEMSx7N9D766CPvAzRBjRO0A9Fu/d///nc65phjGtQs7b///rk26oQTTihb+QBYtRYuXJjefvvt/HP8/xAtD2KQiJEjR3oroAlqnKAdiGC06667NtocL4LTtGnTTHwI0I7ce++9eUCIWL74xS+mJ598Mt18880GC4Kl6FAyFjEAAMBSqXECAAAoIDgBAAAUEJwAAAAKCE4AAAAFBCcAAIACghMAAEABwQkAAKCA4AQAAFBAcAIAACggOAFQsa699trUoUOHNG3atAaP/eQnP8mP7bvvvmnx4sVlKR8A7YfgBECrc/vtt6cTTzwxffnLX06//OUvU6dOncpdJADaOMEJgFblD3/4QzrkkEPS5ptvnu66667UrVu3chcJgHZAcAKg1Xj22WfTPvvsk9Zff/30u9/9LvXq1avO42+88UZuvtfYUttFF12Uhg4dmnr37p26d++ett5663TLLbc0+ppTp05N2267bVpttdXSpz71qbTjjjum3//+93W2+e1vf5uGDRuW1lhjjdSzZ8/0H//xH+mGG25YCUcAgHIRnABoFV599dW0xx57pK5du+bQFOGpKccdd1z6+c9/npevfe1rDR7/0Y9+lD7/+c+n73//++n8889PVVVV6cADD0z33HNPne3Gjx+fjjjiiNS5c+e8bdzv169fevDBB+v0wxoxYkSaPXt2GjduXLrgggvSVlttle69994WPgIAlFNVWV8dAJbBO++8kw4++OB8u/vuu6dBgwY1ut2iRYvy7fbbb58OP/zw/PP//u//5j5Rtb3yyiu5pqnaN77xjfSFL3whXXLJJTkEVf9ehKUIXlEb1bHj/3+tsVQq5ds5c+akU089NddIRRPC2s0Gq7cBoG1Q4wRAxTvqqKPSm2++mQ499NDcTO7mm29udLuPP/4430at1NLUDk3//ve/cwCKgSaefvrpmvV33HFHWrJkSTrnnHPqhKZQ3fTvvvvuSx988EEaO3Zsg75W9ZsHAtC6CU4AVLxoBhd9ja677rrcDO60007LYae+999/P9+uvvrqS32+u+++O2233XY57Ky11lppnXXWSZMnT67znNE0MAJTDELRlNgmfPazn12BvQOgNRCcAKh4//3f/537IEVfpKuvvjo32Yv+RPW9/fbb+Xa99dZr8rkefvjhtPfee+fQdMUVV6Tf/OY3ueYoarM0rwOgKYITABUvRrKrFiPWnXzyyemqq65Kjz/+eJ3tXnrppdxEbtNNN23yuW699dYcmmKAidGjR6c999wz7brrrg22GzhwYG6qF8/ZlNgmvPjii8u5ZwC0FoITAK3OhAkT8qh6MXpe9YAQcRuhKAZqWFpTvZgsN8LV4sWL6wxjHn2aatt3331zU70YICICVG3VNVMxUEUMQT5x4sS0YMGCRrcBoG0wqh4ArU6ElUmTJqX99tsvXXzxxXkeprPPPjs9//zzeVLcpYlR82L0vBjaPJrnvfvuu+nyyy9PG2+8cf79anH/rLPOSueee24eOCJeKwadePLJJ1Pfvn1zWIo5my699NJ07LHH5pqweL6Y6+m5555L8+fPz32yAGgbBCcAWqUYJjwmw40aoV122SV16dIl91caPnz4Un8vtp0yZUqeb2nMmDFpwIAB6cILL8y1TrWDU4jnjscjpEWIiklwP/e5z+W5naodc8wxad11183PFyEr5nwaPHhwOv3001favgOw6nUoaUsAAACwVPo4AQAAFBCcAAAACghOAAAABQQnAACAAoITAABAAcEJAACggOAEAABQQHACAAAoIDgBAAAUEJwAAAAKCE4AAAAFBCcAAIC0dP8f5E0/Ql9yV1QAAAAASUVORK5CYII=", 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2AAAAAMABhC0AAAAAcABhCwAAAAAcQNgCAAAAAAcQtgAAAADAAYQtAAAAAHAAYQsAAAAAHEDYAgAAAAAHELYAAAAAoLKHrSlTpsj5558vNWrUkHr16smgQYNk69atxf7c22+/LW3atJH4+Hjp0KGDfPjhhwH3W5Yl48ePl4YNG0pCQoL069dPtm3b5uArAQAAAFDVhVXY+uKLL+S+++6Tr7/+Wj755BPJzs6Wyy67TNLT0wv9mVWrVsmNN94ow4cPl40bN5qApsv333/v2+bpp5+W559/XmbOnClr1qyRxMRE6d+/v2RkZJyiVwYAAACgqnFZ2uwTpg4dOmRauDSEXXLJJUG3GTJkiAljH3zwgW/dBRdcIJ07dzbhSl9eo0aN5OGHH5ZHHnnE3J+cnCz169eXOXPmyA033FDsfqSkpEjNmjXNzyUlJVXgKwQAAAAQSUqTDaIljOkLULVr1y50m9WrV8vIkSMD1mmr1aJFi8z1nTt3yv79+03XQZsenO7du5ufDRa2MjMzzeJ/QFVOTo5ZAAAAUD579uyRw4cPcxhRYnXr1pUzzjhDQq00eSBsw5bH45GHHnpILrzwQmnfvn2h22mQ0lYqf3pb19v32+sK2ybY2LFJkyYVWL9u3TrTBREAAABlp0M5dGiHft4DSsrtdpsGE63TEEpFDXGKmLClY7d03NWKFStO+XOPHj06oLVMW7aaNGkiXbt2pRshAABAOW3atMl8sT37iSnSunlLjieKtXXXT3L7+NGycuVKM1wolOxebxEbtu6//34zBuvLL78stqmwQYMGcuDAgYB1elvX2/fb67Qaof82hf2i4uLizJJfdHS0WQAAAFC+FoqsrCxp27ylnNfuHA4lSlTVT88ZPXdC/Xm8NM8fVtUItZiFBq13331XPvvsM2nRokWxP9OjRw9ZtmxZwDqtZKjrlT6GBi7/bTSNatO1vQ0AAAAAVLTocOs6OG/ePHnvvffMXFv2mCotaKHzY6lbb71VGjdubMZVqQcffFB69eolzz77rAwYMEDmz59vxla9/PLL5n6Xy2XGfj355JPSqlUrE77GjRtnKhRqiXgAAAAAqPRh68UXXzSXvXv3Dlj/2muvyW233Wau79692zQf2nr27GkC2tixY2XMmDEmUGklQv+iGqNGjTID2e688045duyYXHTRRbJkyZKQD64DAAAAUHmFVdgqyZRfy5cvL7Bu8ODBZimMtm498cQTZgEAAACAUyGsxmwBAAAAQGVB2AIAAAAABxC2AAAAAMABhC0AAAAAcABhCwAAAAAcQNgCAAAAAAcQtgAAAADAAYQtAAAAAHAAYQsAAAAAHEDYAgAAAAAHELYAAAAAwAGELQAAAABwAGELAAAAABxA2AIAAAAABxC2AAAAAMABhC0AAAAAcABhCwAAAAAcQNgCAAAAAAcQtgAAAADAAYQtAAAAAHAAYQsAAAAAHEDYAgAAAAAHELYAAAAAwAGELQAAAABwAGELAAAAABxA2AIAAAAABxC2AAAAAMABhC0AAAAAcABhCwAAAAAcQNgCAAAAAAcQtgAAAADAAYQtAAAAAHAAYQsAAAAAHEDYAgAAAAAHELYAAAAAoLKHrS+//FKuuuoqadSokbhcLlm0aFGR2992221mu/zLOeec49tm4sSJBe5v06bNKXg1AAAAAKqysApb6enp0qlTJ5kxY0aJtp8+fbrs27fPt/zyyy9Su3ZtGTx4cMB2Gr78t1uxYoVDrwAAAAAAvKIljFxxxRVmKamaNWuaxaYtYUePHpVhw4YFbBcdHS0NGjSo0H0FAAAAgIgJW+U1a9Ys6devnzRr1ixg/bZt20zXxPj4eOnRo4dMmTJFmjZtWujjZGZmmsWWkpJiLnNycswCAACAsvN4PBIbGyse/Xzl0X+BoulZYs4Zjyfkn8dL8/yVJmzt3btXPvroI5k3b17A+u7du8ucOXOkdevWpgvhpEmT5OKLL5bvv/9eatSoEfSxNIzpdvmtW7dOEhMTHXsNAAAAVUFqaqqMGzdODseIrNm/O9S7gwiQGiPec+bwYVmzZk3Ihz6VlMuyLEvCkBayePfdd2XQoEEl2l4D0rPPPmtCl6bewhw7dsy0fE2dOlWGDx9e4patJk2ayJEjRyQpKakMrwYAAAC2TZs2yYUXXigr5y6Qzm3acmBQrE1bNsuFtw6RlStXSufOnSWUNBvUqVNHkpOTi80GlaJlS/Pi7Nmz5Y9//GORQUvVqlVLzj77bNm+fXuh28TFxZklPx37pQsAAADKzu12S1ZWlqnUFu0Oq3ptCFNuEe8543aH/PN4aZ6/UpzdX3zxhQlPhbVU+UtLS5MdO3ZIw4YNT8m+AQAAAKiawipsaRDSZmVd1M6dO8313bu9fXlHjx4tt956a9DCGDo2q3379gXue+SRR0wY27Vrl6xatUquueYaiYqKkhtvvPEUvCIAAAAAVVVY9YnTAhR9+vTx3R45cqS5HDp0qClyoQUu7OBl076S77zzjplzK5g9e/aYYKXjrU4//XS56KKL5OuvvzbXAQAAAKBKhK3evXub8VeF0cCVn86zdfz48UJ/Zv78+RW2fwAAAAAQkd0IAQAAAKCyIGwBAAAAgAMIWwAAAADgAMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAFDZw9aXX34pV111lTRq1EhcLpcsWrSoyO2XL19utsu/7N+/P2C7GTNmSPPmzSU+Pl66d+8ua9eudfiVAAAAAKjqwipspaenS6dOnUw4Ko2tW7fKvn37fEu9evV89y1YsEBGjhwpEyZMkA0bNpjH79+/vxw8eNCBVwAAAAAAXtESRq644gqzlJaGq1q1agW9b+rUqTJixAgZNmyYuT1z5kxZvHixzJ49Wx577LFy7zMAAAAAhH3YKqvOnTtLZmamtG/fXiZOnCgXXnihWZ+VlSXr16+X0aNH+7Z1u93Sr18/Wb16daGPp4+liy0lJcVc5uTkmAUAAABl5/F4JDY2Vjz6+cqj/wLFnDMi3nPG4wn55/HSPH9Eh62GDRualqquXbuacPTqq69K7969Zc2aNXLeeefJ4cOHJTc3V+rXrx/wc3p7y5YthT7ulClTZNKkSQXWr1u3ThITEx15LQAAAFVFamqqjBs3Tg7HiKzZvzvUu4MIkBoj3nPm8GHzWT/UQ5+qRNhq3bq1WWw9e/aUHTt2yHPPPSf/+te/yvy42hKm47z8W7aaNGliQl1SUlK59xsAAKAq27Rpk0yePFlWzl0gnRs0DfXuIAJs2rLZe86sXGl6tYWS3eut0oetYLp16yYrVqww1+vWrStRUVFy4MCBgG30doMGDQp9jLi4OLPkFx0dbRYAAACUnQ7r0OEeWqkt2h1W9doQptx5Q4T03An15/HSPL+7Mn5Tot0LJa9fZ5cuXWTZsmW++7Wfp97u0aNHCPcSAAAAQGUXVs00aWlpsn37dt/tnTt3mvBUu3Ztadq0qene9+uvv8rcuXPN/dOmTZMWLVrIOeecIxkZGWbM1meffSYff/yx7zG0O+DQoUNNF0Bt9dKf0X6WdnVCAAAAAKj0YUsLUPTp08d32x43pWFpzpw5Zg6t3btPDqLUpsSHH37YBLBq1apJx44d5dNPPw14jCFDhsihQ4dk/PjxZrJj7eO5ZMmSAkUzAAAAAKAiuSzLsir0ESshHQRXs2ZNSU5OpkAGAABAOW3YsMEM9Vg//105r905HE8Ua8OPP0iXG64x0zpp1fFIyQaVbswWAAAAAIQDwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAJU9bH355Zdy1VVXSaNGjcTlcsmiRYuK3H7hwoXyu9/9Tk4//XRJSkqSHj16yNKlSwO2mThxonks/6VNmzYOvxIAAAAAVV1Yha309HTp1KmTzJgxo8ThTMPWhx9+KOvXr5c+ffqYsLZx48aA7c455xzZt2+fb1mxYoVDrwAAAAAAvKIljFxxxRVmKalp06YF3H7qqafkvffek//+979y7rnn+tZHR0dLgwYNKnRfAQAAACBiwlZ5eTweSU1Nldq1awes37Ztm+maGB8fb7oaTpkyRZo2bVro42RmZprFlpKSYi5zcnLMAgAAgPJ9ZouNjRWPfr7y6L9A0fQsMeeMxxPyz+Olef5KFbaeeeYZSUtLk+uvv963rnv37jJnzhxp3bq16UI4adIkufjii+X777+XGjVqBH0cDWO6XX7r1q2TxMRER18DAABAZadfjo8bN04Ox4is2b871LuDCJAaI95z5vBhWbNmTciHPpWUy7IsS8KQFrJ49913ZdCgQSXaft68eTJixAjTjbBfv36Fbnfs2DFp1qyZTJ06VYYPH17ilq0mTZrIkSNHTCEOAAAAlN2mTZvkwgsvlJVzF0jnNm05lCjWpi2b5cJbh8jKlSulc+fOEkqaDerUqSPJycnFZoNK0bI1f/58ueOOO+Ttt98uMmipWrVqydlnny3bt28vdJu4uDiz5Kdjv3QBAABA2bndbsnKyjKV2qLdYVWvDWHKLeI9Z9zukH8eL83zR/zZ/eabb8qwYcPM5YABA4rdXrsZ7tixQxo2bHhK9g8AAABA1RRWzTQahPxbnHbu3GmambXghRa0GD16tPz6668yd+5cX9fBoUOHyvTp083YrP3795v1CQkJUrNmTXP9kUceMeXgtevg3r17ZcKECRIVFSU33nhjiF4lAAAAgKogrFq2tACFlmy3y7aPHDnSXB8/fry5rQUudu8+OYjy5ZdfNtVA7rvvPtNSZS8PPvigb5s9e/aYYKUFMrRwhvav/Prrr81EyAAAAAAQli1b3377rfzjH/+QDRs2mAFiWooxf5EL7bJXUr1795ai6nVoVUF/y5cvL9F4LgAAAACImJYtDTrdunWTDz74wMxh9dNPP0nLli3N9Z9//lmqV68ul1xyScXuLQAAAABU9rClXfs0XG3dulVee+01s27MmDGyYsUKWbVqlem+5z/fFQAAAABUJWUOW9p1UOep0tryWnBC5ebmmkstVnHXXXeZiccAAAAAoCpyl6e+fI0aNXxzV8XExMjBgwd992ur148//lgxewkAAAAAVSVsnXXWWbJt2zZfIYw2bdrIu+++67t/8eLF0qBBg4rZSwAAAACoKmHr97//vZlIWEuv22XaFy5cKK1atTLL+++/b7oSAgAAAEBVVObS7zoeS+ezssdr6eTCev2dd94xl48//rjcdtttFbmvAAAAAFD5w5aO0dIJgv3dcsstZgEAAACAqq7M3Qj79u0ry5Ytq9i9AQAAAIBKolyTGh84cKBi9wYAAAAAqnrYAgAAAAA4MGZLHTlyRHbv3l3kNk2bNi3PUwAAAABA1QtbDz30kFmKkpubW56nAAAAAICqF7buvPNOueCCCypubwAAAACgkihX2Lr44ovlpptuqri9AQAAAIBKggIZAAAAAOAAwhYAAAAAhFM3Qo/HU7F7AgAAAACVSLnGbKmdO3fKRx99JD///LO53axZM7niiiukRYsWFbF/AAAAAFD1wtbDDz8s06dPL9DK5Xa7TUn4Z555prz7BwAAUDTL8i4evfR4L4Ndt/K29f85c+n7x++6S8Sli17Ndz3/fW63SJRbxJ133d4eQJVX5rD17LPPynPPPSfXXXedCV1t27Y16zdv3mzW69K4cWP585//XOUPMgAA8GOCkUckJ9dvyQm8nuvRyTrzLjU0+V0PWO8JDFDhwu0XvuzrUVEi0VHeYOa77nep6+3rMdHe63qpPw+gaoWtV155Ra6++mp56623AtZ3795d5s+fLxkZGfLSSy8RtgAAqOw0/GTnBC5Z2fnW5d22A5WTAcluWfJvaXL7tTb5tzr51vn+Kdhi5n/dLPlum9azfGPZ9bZZlVv+16MhzISvaO+lvdi3Y2MCF90eQGSHrV27dsmDDz5Y6P39+/eXJUuWlPXhAQBAKGmI0JajrCyRzGxveNLFXM8KvF2eolnReS04viU6sKXHbgWyr7vzrfe1IIW4C58veNldF+2WN3udX6uchk3/S13vu5633g6myvxclojoUgJ6XOJiRGJiAi/NEisSF+e9TldHIHzDVr169eSbb74p9H697/TTTy/rwwMAACfph/8MDVJ5i309IzNvXSlDlH5w92910RYW322/6wGBKi8cVQa+1rQKbFXS8GYHLxO+8rUe6u0suxUxL/iakJwrclyDWkbRj2+CV6xIfP7LOO91DW0AQhO2Bg8ebIpjNG/eXP70pz9JYmKiWZ+eni4vvPCCvPrqq6ZIBgAACAENShqaTmR6A5S51BCVd6kf1kvTSuLfTU0/kPuu57WcVKbgFC78A2xpwpnd6ph/sYO1Hcrs2ymFPJ7+fhPivIsGsIT4k7c1MAMoVpn/p0yePFk2bdokY8aMkfHjx0ujRo3M+r1790pOTo706dNHnnjiibI+PAAAKI62YGiI8g9UJzK8YUpvF0dbYfK3atgtG3bAonUjMsNZYkLh22nQssNXYa2b/qEtOa3gY2jYsoNXtQSRxHjvpd4mdAPlD1vVqlWTZcuWyXvvvRcwz9bll18uv//97+Wqq64SF//ZAAAoH7sF4niGN0jppbme192vKDqOyXQJ82udMKEq71K78vG3uurR37kdrJMK2UZbPk2IzzvXfEvGyS6MqbqkF3xsO4BVi/cLYfEU7kCVVO424IEDB5oFAACUs9uffphNPyFy/ERgqCpq7JQGJrt7l3+o0kttmSJMoSzsFrIk7zCRANrqZbekmvPU73zVc9W+np+ek9WrmVa3pBxLzji9Pr8bVHplDlstW7aUadOmmfLvAACgFC1Vdqiyg5Ve6rrCyqHbrQUaqqrlLab1IN47Xgo4lTTga2jSJVgrbLp/AMu71IBmt44dOipnicgvb38gOTp/WkpawfnG+JIAlUS5Sr+npQXpwwsAALy0u1XacZH04yJpJ7zX9YNnYaFKP2Sa8S95XbDsRVuq+PCJcOfy67Zap2bBMWL6pYL5/3BCThz+TWKycyQ6Kvrk3Gv+wwzNBM/RgRNB838AEYhSMgAAlJd+mNTiAiZU+QWrwsZUaWEKeyyLCVZ5BQZ0DA0fKFGZx4jV9oawzRuOSc8evWTjvIXStlnzwDnH7DnezNxifuyWL3tONnteNaCyhq0tW7bIl19+WeQ2l1xySXmeAgCA8KJjUrSblC9Y5YUr/aAYjH7LXz0hb6yKd7yKKU7Bh0RUcZlZWXIiJzsviOWtNBND580VpkU47BCmjcH5W8A0Z2nLmAavmLz52/h/hcoUtv7617+aJRjLskw1wtzC/vgAABDu9IOfdvvTimtmyQtXwboB6oc8DVJmLIu2VOVdMh8RUHL6/yhKF7e3wIv9/1C/5LDDlglidgDLq4yYka/7oT15tlbkJIAhUsOWzrHVr1+/itsbAABCxR7cr6EqxQ5W6d7uTEUVCMirrmbGVmm3JgAOBLC8LoT+LWD6f9Nu/dJLj1/3Q1/rlyuv5Ss6bwwYXQ8RQWGrbdu20qtXrwrbGe2S+Pe//13Wr18v+/btk3fffVcGDRpU5M8sX75cRo4cKT/88IM0adJExo4dK7fddlvANjNmzDCPu3//funUqZP84x//kG7dulXYfgMAIlB29slQZbdcaUGL/DRAaaCqkegtg12jGgUrgFCzQ5QuNrv1K9u/+6HlvW3/3yZ8oSoXyEhPTzdh6Pbbb5c//OEPxW6/c+dOGTBggNx9993yxhtvmEmW77jjDmnYsKH079/fbLNgwQITxmbOnCndu3c35er1vq1bt0q9evVOwasCAIRNd0AtMa1Lcpq3BHVhXQFr5IUqvdTbdEMCwp9+MRKbr/uh3eplhzDCFyIlbDVr1kyqV69eoTtzxRVXmKWkNEC1aNFCnn32WV9L24oVK+S5557zha2pU6fKiBEjZNiwYb6fWbx4scyePVsee+yxCt1/AECY0G+0tdXKDld6XT9s5afzViX5BSttwaIrIFA56Jck9uTMvq6HGrryAliR4SvG+3Pa7RAIRdjSVqVQW716dYExYxqyHnroIXM9KyvLdEkcPXq07363221+Rn+2MJmZmWaxpaSkmMucnByzhNqePXvk8OHDod4NRBD9vxAbGxvq3UAEiahzxhKJtUSqe0QSc72X1TzeQmX+NGqlu0XSo0TS3CJpUSK5rgyRNF2OiOwL0f5XEhF1ziDktIeRni86IjJHu/+dKvplSpwuMb5xX66cHHHl5HqXfOHLcrvFio4SKybaXNLKHToeEe854/GE/PN4aZ6/zGHr008/lc8++0yeeuqpoPc//vjjcumll0rfvn3FKToGq379+gHr9LaGoxMnTsjRo0dNNcRg22jZ+sJMmTJFJk2aVGD9unXrJDExUUIpIyND1qxZY040AKiq6iQkSrOataVpzdOkac3akhQXX2Cb5IwTsiflmPySetRcHkxPFU9hkwkDOOXGjRsnB6M9smb/7rA4+voFTXVXlNRyx0itqBip4YoSl8cjriyPmZRZ3z9SPDlyzJMtxzw5km5RcftUSo3xnjPa4KCfhUM99MnxsDV58mRp2rRpoff/+uuv8uSTTzoatpyiLWE6zsum4U2Lb3Tt2lWSkpJCum+bNm0yQXD2E1OkdfOWId0XRIalq76SJ2a+IC88Nk7Obdc+1LuDCBCO50xCdIxUj42VGrFxUiMmTmK0Kpkf/RB0Ijtb0rIzJS07S9KysiTb4/0gVDcxySyoWucMIuOcWfrPWdL9rHMkHOV6LL9Wrxxxe8SEMF2U5XKdbPXSLoeM7XTUpi2bTf5YuXKldO7cWULJ7vXmaNj67rvvZPDgwYXef/7558sHH3wgTmrQoIEcOHAgYJ3e1kCUkJAgUVFRZgm2jf5sYeLi4sySX3R0tFlCSbtBaleNts1bynntwvPNCeFl684d5pw5u2lz6co5g0g4Z+ySzqaiWN7A9mAtUvY8OjHR4o6OkkSXS7TvQWBfBlSJcwYRe85oa1J0uI6T1N2yqx3ac33ZXQyzc0yXQ5f/eC97rFesjvUK/EIIFfPr0HNGPwuH+vN4aZ6/zGe3jmnSF1zU/cePHxcn9ejRw1Qg9PfJJ5+Y9ZLXr7NLly4B22j3O71tbwMACDFTMSzHWx1Qy68fTfEWtTiRcXIAu9I/bglx3kIWpyWJJFX3zm3FN8oATtVcX/F+70F6GR97sqiOfjGk71ta7fRYqsjxE4HvYaiSyhy22rdvb+bBCsayLFm4cKG0a9euVI+ZlpZmusnpYhfh0Ou7d+/2de+79dZbfdtryfeffvpJRo0aZcZg/fOf/5S33npL/vznP/u20e6Ar7zyirz++uuyefNmueeee0w/S7s6IQDgFLMrgmXkhatjGq7ST4YrpV93a4iyqwWacJXovU24AhAulQ6rJYjUqiFSM+/LH7vFQ1vBMrJOvselHfdOmk7wqnLK3Ab3pz/9yQQf7Uo4fvx4U3Zd/fjjj/LEE0+Yan9aXr00tABFnz59fLftcVNDhw6VOXPmmImO7eCltOy7lnHXcDV9+nQ544wz5NVXX/WVfVdDhgyRQ4cOmX3Ughrax3PJkiUFimYAAByk3QLtUsvBvuk1fYnySjRH55VbZvwDgEihrV52y5dd0TAr++T7nV7XJf2E931O5wLTy3DtQonQh61bbrlFduzYYQaqaSuW9p+0u+m5XC4ZO3asCUml0bt3b9MqVhgNXMF+ZuPGjUU+7v33328WAMApYo9tsCcSDVZB1YxvyAtY+iGFcAWgMtD3Mg1Tutgt+Vl54ct/3Jf9PmiCVwxzelVS5RpdNmHCBBO6tDuhdudTZ555pgwaNMhcAgCq0rgrDVZ53+RqS1Z+UX7hivlqAFQFZpLk6JNjTjVs2a1cpsVfJ1jWyqkZ3vdILa6h4YsCG5VGuUt5aKh65JFHKmZvAACRwa4Y6N81MD/tCmh3DWScFYCqzi6ykaBLfF7V1bzgpYFLW8BO6JLpff/UScJN8KKrYSQLbd1EAEDkyFf2uOC4q7wB4/bCWAQAKJyGqKg47zgv0+KV19VQv8TSIKZFg3TRgBaX1y2R99WqFbY++ugjmTp1qmzYsEGSk5ODjrfK1ZQOAIg4WrMiIFwFez/3b7miqAUAlI2GKC0jr4t/V0O7xeu4Lhknx3gRvCJGmdsl33nnHbnyyivNBME33HCDKYxx4403mus6oXDHjh1NBUAAQATxeOTMeg3knSeelp4tW3nLFmuJdjtoaaDSDwM1qvmVY49jDBYAVGjwivPOJahl5U1J+bxJknPyQpfO46VTZlBOvvK2bE2ZMkW6desmK1askKNHj8qLL74ot99+u/Tt21d27dolF1xwgSnNDgCIhMIW2nrlHbB9wZmtRXRRdA0EgNAHL11y/YtraGENrfia4y0nb7d2MT628rRs6Xxa2ooVFRUl0XkTuGXrH2oRad68udx7773yt7/9reL2FABQMbSLin4bqpNs6mSbvtYrbwXBQ6kpMn72S7Lhl13eb1WrVxOJi2WsAACEkvYs0J4EOoGyLnrdHsOlAcy8p6d6w5d+icYEypEdtqpVqyaxWiVFRGrVqiVxcXFm0mGbThq8c+fOitlLAEA5W69yvF1PktNO/jHWP86W35wwiQkmXH38/UaZPPdVSc3MYO4rAAhHpqphvDd0aXdu/UJM38v1/V6/TEtJ877fa4GNYFNxIPzDVuvWrU3rlq1z587yr3/9S3JyciQjI0PmzZsnTZs2raj9BACUufUqr29/wNirKG+3lBqJtF4BQKTP45X3ZZnpiaBfntl/B7SMfLL+DUhjfFekjdm65ppr5Pnnn5dnnnnGtGo9/vjjMnDgQNPK5XK5JD09XWbPnl2xewsAKHreK3tSYTNJZr7SgjF5/fkpyw4AlY/dS0EXj+X9e6BfutkTJ+ecEDmu47tivaXk9Us3/RmEZ9jSiYz9JzPWyoTLly83VQp1DNeAAQOkT58+FbWfAIDCiltod0D9o6p/XPP377cDllay4o8qAFQNbpe3a6EuprBGlkhm9sleD7rYEydr8GL+rsiY1Pjiiy82CwDgVEwsnDfmyp9vUmH91rLMPcUBAJWqsEa8t+u4fkGnQctUNPSbOFn/bmgwo5phaMPW1VdfXaoH1+6E7733Xmn3CQDgT8dZZeWFqwLdA13eP46U/AUAFP3B/OQXctoTQgOXBi/9G2N/iefyaxHjC7tTH7a+/fZbE6D86WTGe/bskXr16kl8fHzAffm3BQCUZu4rnU8lx9uaFax7YGw0fe4BAGXrZqgT1OtiuqPndTPUvz9aTEkXLbyh99PaderClk5WnN/hw4dN0HrjjTfMhMYAgDKwBzPb3y7mnx9F/+hpuKJ7IACgIumY3ugEb1dD/fuTkXVywuQ0WrtCPmaL1isAKCO7eqB25aB7IAAgXKoZ5voV0vBv7WJsV2gLZAAASlie3R6c7E+rQdmtV1QPBACEinZXrxYvkhCX19qVmde9Pa/3hX+1QyoZOhu29u/fb1q3qlevXt6HAoCqN/5KQ5Vd3ELnPAEAICxbu/IqGZoS8pZ3wmRd9D4NXXxJWPFh66effpKHHnrITGrcrl278jwUAFSugGWXZs8KMv7Kv3og3wgCACKBfiFYLW9sl13J0J7rURdtDYuL887bRZG8soWtGjVq+MZoZWVlSXZ2trk9ffp0WrYAVG0aqMzkwjneS3/6tmmqB+YFLP4IAQAilX95eDNvV6a3tUu7xh8/IXLihHeyZK1kGEWPjVKFrWuvvdYXtrQ1q1mzZnLllVdKhw4dnPp1AkD40i6B9vxXGrKCdr2I9lYSJGABACplJcNqIgn6hWOWt5Khx6+4RgyTJZcqbM2ZM8e5XxYARAL95s60YAWpIGgXuNCQpd/mEbAAAFVm3i7tQhjr/fJRg5ZdTCNbC2q4vS1den8V+9tINUIAKE8FQQ1V/vNfVbE/IgAAFF1QI8vb2nU8Q+RERl4XxDjv38wqgLAFAGWuIJgXsAAAQOEFNTL9uhjqZUZeF0NtDavkVQwJWwCgqCAIAEDFc+XrYph/zi4NZdrFUL/ErIShi7AFoOqigiAAAKe+i2FOrjd0me75uSLpJ/K6GOaFMh0DVkkQtgBULVQQBAAgtKKjRKpXO1m50HQx1ImS/cZ1VZLS8YQtAJVfsRUE80q0U0EQAIBTx+32junSbob6d1pbu3LzlY63x3VFKMIWgMpbQdAOWIVVENSQpW/0lbCPOAAAETdRcqxfF0P/0vFRUVIrPkGiIrCli7AFoHJVELQDlnZH8EcFQQAAwj90xeh0KtHesVwZeS1cubnSslYd2Tr3P5Kqf+8jCGELQOSigiAAAJVTVJRIopaOjzOhK/v4cfl+5w5p0qapRBImiAEQeQFLv+VKOy5yNMV7mZntXa+9AbULgg66PS1JpEZiXlUj3uoAAIhIbrdItXj5/uB+uXfa3yTS0LIFoJJUEIyp9BMjAgBQVVliyd7DhyTSELYAhCftq20HLCoIAgCACETYAhB5FQQjsBoRAACoesJyIMOMGTOkefPmEh8fL927d5e1a9cWum3v3r3F5XIVWAYMGODb5rbbbitw/+WXX36KXg2AYgtc6MzxyakiKWkn59hQ2i2wWrxIzRoiNat75+IgaAEAgAgRdi1bCxYskJEjR8rMmTNN0Jo2bZr0799ftm7dKvXq1Suw/cKFCyUrK8t3+8iRI9KpUycZPHhwwHYarl577TXf7bi4OIdfCYCgqCAIAACqiLALW1OnTpURI0bIsGHDzG0NXYsXL5bZs2fLY489VmD72rVrB9yeP3++VKtWrUDY0nDVoEEDh/ceQFA655Vd3EK7CfrTehYxeQUudF4NClwAAIBKIqzClrZQrV+/XkaPHu1b53a7pV+/frJ69eoSPcasWbPkhhtukMTExID1y5cvNy1jp512mvTt21eefPJJqVOnTtDHyMzMNIstJSXFXObk5JgllDwej8TGxop2ssrRCm1AcVwuc85Yp/qc8XjElZ3jXXJyTaayWS6XWDHR3sW/gqC2ekXYZIWVUqjOGUQuzhlwzsBhHp3dRT8Dezwh/zxemud3WVb4fLLZu3evNG7cWFatWiU9evTwrR81apR88cUXsmbNmiJ/Xsd2addD3a5bt24FWrtatGghO3bskDFjxkj16tVNgIsKMv5j4sSJMmnSpALrly5dWiDEnWqpqamybt066dquvdQI8b4gMuw/clg2/7RDzm3dVmolJTn6XAkut9R2x0idqFip4Q78Lue4J1eOeLLkt9xsSbNyHd0PRM45g8qBcwacM3Baanq6rPvxe+natavUqFEjpAc8PT3dDHNKTk6WpGL+ToZVy1Z5aatWhw4dAoKW0pYum97fsWNHOfPMM01r16WXXlrgcbRlTceN+bdsNWnSxPxyizugTtu0aZNMnjxZVs5dIJ0bRNYM2giNBZu+M+fM0n/Oku5nt3ekgqDbbsHK1wpiRbnFY1qwYiQ2yi0NRcyCKnzOoFLinAHnDJy2actm72fglSulc+fOIT3gdq+3kgirsFW3bl3T0nTgwIGA9Xq7uPFWmjC1BeuJJ54o9nlatmxpnmv79u1Bw5aO7wpWQCM6OtosoaTdKrW7pZaRjNYZtYHiWJY5Z1wVdc5owNLm86y88Vf5G8d13JUusTHicruFIu0RqKLPGVR+nDPgnIHD3HlDjvSzcKg/j5fm+cPqr6j2w+zSpYssW7bMt077Zept/26Fwbz99ttmnNUtt9xS7PPs2bPHVC1s2JDv2IES0UClwSrtuMixFJHU4yKZWSeDlha3SEwQqZUkUiNRJD5Ovxng4AIAgCotrFq2lHbfGzp0qOmyp90BtfS7tlrZ1QlvvfVWM65rypQpBboQDho0qEDRi7S0NDP+6tprrzWtYzpmS8eAnXXWWaavJYBCaJdAbb2yqwj604IWdvVAKggCAABERtgaMmSIHDp0SMaPHy/79+83fTKXLFki9evXN/fv3r3bNB/60zm4VqxYIR9//HGBx9Nuid9++628/vrrcuzYMWnUqJFcdtllps8nc20B+eTmngxYOfmKWOj/u1gNVzHeyYYp0Q4AABBZYUvdf//9ZglGi1rk17p1aymsqGJCQoKpIgig8AIXpougBiy97k+rddoBK8pNwAIAAIj0sAXAQabARe7JgKUTDvvTVivTRTAvYAEAAKBMCFtAFZCUmCinV6/hLXCh46+CVRC0x2BR2AIAAKBCELaAykq7BGZnS9+2HeTQok8kVluqtDVL6Xgr/4DF+CsAAIAKR9gCKvn4q4a1apvL41mZUi2pBgUuAAAAThEGZACVYf6r9BMix1JFUtJEMjJPFrqIjpINu3ZI6z9eJ/9v906Ragm0ZAEAAJwitGwBkTj/lY67ygoy/1WQ8Veb9+2R//3ycyj2FAAAoEojbAGRPv8VEwwDAACEJcIWEM7l2TVcacjS1ix/WpJdC15oCxbzXwEAAIQlwhYQTgHLv3tg/vLs0dGBEwwDAAAgrBG2gDAoz27CVf7xVy4df5U39kov3boCAAAAkYKwBYSke2De+Cu7aqBNA5XdPTA6ivmvAAAAIhhhC3CaxwpsvSrQPTDqZOsV468AAAAqDcIWUNE0TGlBi0KrB/p3D/SWZwcAAEDlQ9gCKrJ7oF3cIn/1QA1UdnELugcCAABUCYQtwKnJhX3VA6NFoqI4zgAAAFUMYQsoTeuVXT1QuwjqRMP5JxfWYKXFLfRSbwMAAKDKImwBJZn7yg5Y+YtbaIuVCVh5rVcELAAAAOQhbAGlmftK+bdeUdwCAAAAhSBsAb65r/JarzyFzH1lVw+k9QoAAAAlQNhC1VRc65WZ+0onF85rvSJgAQAAoJQIW6h6rVcarjRsFVbcQqsIamsWAAAAUA6ELVTy1qu84haFtl7lzX0VResVAAAAKhZhC1Wv9cpeKG4BAAAABxG2ENm0mIUWtaD1CgAAAGGGsIUIbb3KC1i0XgEAACBMEbYQGa1XGq6yskVydGLhfPfrZMKxeV0DmVgYAAAAYYKwhfBD6xUAAAAqAcIWwq9yYGGtV6Y0O61XAAAAiAyELYSu9cqeUFgX7Sroj8qBAAAAiHCELZy6cOUbe5Xjbb0qdN4rWq8AAAAQ+QhbcI5HKwf6lWXX2/7c9rxXMSLROu+Vi98GAAAAKg3CFiq29SrXLsuurVe5Qc64vHFX9qTC2l0QAAAAqIQIWygfu2ugvWjg8qeByu4aqAvhCgAAAFUEYQtlLMue1zWwwKTCea1X2jXQjL1yc4QBAABQJRG2UPLCFvYihZRl10WLXNB6BQAAAEhYNjvMmDFDmjdvLvHx8dK9e3dZu3ZtodvOmTNHXC5XwKI/58+yLBk/frw0bNhQEhISpF+/frJt27ZT8EoiOGBlZYuknxBJTvMuxzNOBi0NU7ExIokJIrVqiNSsLlItnm6CAAAAQDiHrQULFsjIkSNlwoQJsmHDBunUqZP0799fDh48WOjPJCUlyb59+3zLzz//HHD/008/Lc8//7zMnDlT1qxZI4mJieYxMzIyTsEriqCugScyRFLSRI6miKQdF8nMOjn/lbZYJcSLJFX3Bqzq1UTiYr1jsgAAAAAUEHaflKdOnSojRoyQYcOGSbt27UxAqlatmsyePbvQn9HWrAYNGviW+vXrB7RqTZs2TcaOHSsDBw6Ujh07yty5c2Xv3r2yaNGiU/SqwpCGKA1TGqqOpXpD1onMkxUENURpmNJQdVqSN2QlxNFNEAAAAIjEMVtZWVmyfv16GT16tG+d2+023f5Wr15d6M+lpaVJs2bNxOPxyHnnnSdPPfWUnHPOOea+nTt3yv79+81j2GrWrGm6J+pj3nDDDQUeLzMz0yy2lJQUc5mTk2OWUNLXGBsbK9relGO3OpWiLLs7O1dc+hpyPaaWhe9uXaKjxYqJMpcBhS30Z/NXGUTkcLnMOWOV9pxB1cU5A84Z8D6DMOMR8X4G9nhC/nm8NM8fVmHr8OHDkpubG9AypfT2li1bgv5M69atTauXtlglJyfLM888Iz179pQffvhBzjjjDBO07MfI/5j2fflNmTJFJk2aVGD9unXrTBfEUEpNTZVx48bJ4RiRNft3F7ltnMsttdzRcpo7Rmq6YyQ6X+GKNE+OHPNky1FPjqR6csyHcVQ+8U0amnMmPSmh2HMG4JwB7zM4FfjbhNJKjRHvZ+DDh82woFBKT0+PzLBVFj169DCLTYNW27Zt5aWXXpLJkyeX6TG1ZU3Hjfm3bDVp0kS6du1qxoeF0qZNm8zrWjl3gXRu0DTwTssSV06uuLJzvJf5WjEsl0us6CixYqLNZbzbLQ1EzILKa8Gm78w5s/Sfs6T72e1DvTuIAJwz4JwB7zMIN5u2bPZ+Bl65Ujp37hzSfbF7vUVc2Kpbt65ERUXJgQMHAtbrbR2LVRIxMTFy7rnnyvbt281t++f0MbQaof9jFvaLiouLM0t+0dHRZgkl7Vap3S21k59pqdJ5ruyS7MGaNKNPlmV3RUWZ8W2oYizLnDNmCjQKmoBzBrzPIBzwtwmlpJ99zWdgtzvkn8dL8/xhVSBD+2F26dJFli1b5lun/TL1tn/rVVG0G+J3333nC1YtWrQwgcv/MTWNavNjSR8znERZlgzu3U+aJp3mV9gi42TQcrtOFraoZRe2iPdONEzQAgAAAE6ZsGrZUtp9b+jQoabLXrdu3UwlQe0XqdUJ1a233iqNGzc246rUE088IRdccIGcddZZcuzYMfn73/9uSr/fcccd5n5tyXnooYfkySeflFatWpnwpf09GzVqJIMGDZKIYlnSNt2StyZ6X7uvaIU9obAu2nJBqAIAAABCLuzC1pAhQ+TQoUNmEmItYKFd/ZYsWeIrcLF7927TfGg7evSoKRWv25522mmmZWzVqlWmbLxt1KhRJrDdeeedJpBddNFF5jHzT34c9lwuSY0S2fu/7VKvfn2p36A+LVYAAABAmAq7sKXuv/9+swSzfPnygNvPPfecWYqirVvaAqZLpPs53iVdbr9R1s9/V+o3OSPUuwMAAAAgEsZsoQToIggAAABEBMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAABVJWzNmDFDmjdvLvHx8dK9e3dZu3Ztodu+8sorcvHFF8tpp51mln79+hXY/rbbbhOXyxWwXH755afglQAAAACoqsIubC1YsEBGjhwpEyZMkA0bNkinTp2kf//+cvDgwaDbL1++XG688Ub5/PPPZfXq1dKkSRO57LLL5Ndffw3YTsPVvn37fMubb755il4RAAAAgKoo7MLW1KlTZcSIETJs2DBp166dzJw5U6pVqyazZ88Ouv0bb7wh9957r3Tu3FnatGkjr776qng8Hlm2bFnAdnFxcdKgQQPfoq1gAAAAAOCUaAkjWVlZsn79ehk9erRvndvtNl0DtdWqJI4fPy7Z2dlSu3btAi1g9erVMyGrb9++8uSTT0qdOnWCPkZmZqZZbCkpKeYyJyfHLKGkQTI2NlY8uj8e/RcohstlzhmLcwYlxTmD0uKcAecMHOYR8X4G9nhC/nm8NM/vsixLP4OFhb1790rjxo1l1apV0qNHD9/6UaNGyRdffCFr1qwp9jG0lWvp0qXyww8/mDFfav78+aZ1rEWLFrJjxw4ZM2aMVK9e3QS4qKioAo8xceJEmTRpUoH1+riJiYkSSqmpqbJu3Trp2q691AjxviAy7D9yWDb/tEPObd1WaiUlhXp3EAE4Z8A5A95nEG5S09Nl3Y/fS9euXaVGjRoh3Zf09HQzzCk5OVmSivlsFVYtW+X1f//3fyZYaSuWHbTUDTfc4LveoUMH6dixo5x55plmu0svvbTA42jLmo4b82/Z0rFg+sst7oA6bdOmTTJ58mRZOXeBdG7QNKT7gsiwYNN35pxZ+s9Z0v3s9qHeHUQAzhlwzoD3GYSbTVs2ez8Dr1xphg+Fkt3rrSTCKmzVrVvXtDQdOHAgYL3e1nFWRXnmmWdM2Pr0009NmCpKy5YtzXNt3749aNjS8V265BcdHW2WUNJuldrdUgfbRbvDbsgdwpFlmXPGxTkDzhnwPoNwwd8mlJJ+6jWfgd3ukH8eL83zh9Wnde2H2aVLl4DiFnaxC/9uhfk9/fTTJukuWbLEtD4VZ8+ePXLkyBFp2LBhhe07AAAAAIRt2FLafU/nznr99ddl8+bNcs8995h+kVqdUN16660BBTT+9re/ybhx40y1Qp2ba//+/WZJS0sz9+vlo48+Kl9//bXs2rXLBLeBAwfKWWedZfpaAgAAAIATwqoboRoyZIgcOnRIxo8fb0KT9snUFqv69eub+3fv3m2aD20vvviiaVK87rrrAh5H5+nSQhfaLfHbb7814e3YsWPSqFEjMw+XtoQF6yoIAAAAAJUybKn777/fLMFoUQt/2lpVlISEBFNFEAAAAACqdDdCAAAAAKgMCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWAAAAADiAsAUAAAAADiBsAQAAAIADCFsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWAAAAAFSVsDVjxgxp3ry5xMfHS/fu3WXt2rVFbv/2229LmzZtzPYdOnSQDz/8MOB+y7Jk/Pjx0rBhQ0lISJB+/frJtm3bHH4VAAAAAKqysAtbCxYskJEjR8qECRNkw4YN0qlTJ+nfv78cPHgw6ParVq2SG2+8UYYPHy4bN26UQYMGmeX777/3bfP000/L888/LzNnzpQ1a9ZIYmKiecyMjIxT+MoAAAAAVCVhF7amTp0qI0aMkGHDhkm7du1MQKpWrZrMnj076PbTp0+Xyy+/XB599FFp27atTJ48Wc477zx54YUXfK1a06ZNk7Fjx8rAgQOlY8eOMnfuXNm7d68sWrToFL86AAAAAFVFtISRrKwsWb9+vYwePdq3zu12m25/q1evDvozul5bwvxpq5UdpHbu3Cn79+83j2GrWbOm6Z6oP3vDDTcUeMzMzEyz2JKTk83lb7/9Jjk5ORJKKSkpEhMTI+u3/Cgpx4+HdF8QGbbs2mnOmW+2bRHLHXbfryAMcc6Acwa8zyDcbNu9y3ye0c/C+pk8lHQf7EadYllh5Ndff9U9tlatWhWw/tFHH7W6desW9GdiYmKsefPmBaybMWOGVa9ePXN95cqV5jH37t0bsM3gwYOt66+/PuhjTpgwwfwMC8eAc4BzgHOAc4BzgHOAc4BzgHOAc0CCHINffvml2HwTVi1b4UJb1vxbyzwej0nQderUEZfLFfIk3aRJE/nll18kKSkppPtSGXF8Ob6RjPOXYxzpOIc5vpGM87fqHF/LsiQ1NVUaNWpU7LZhFbbq1q0rUVFRcuDAgYD1ertBgwZBf0bXF7W9fanrtBqh/zadO3cO+phxcXFm8VerVi0JJ3qShfpEq8w4vhzfSMb5yzGOdJzDHN9IxvlbNY5vzZo1S7RdWA3giI2NlS5dusiyZcsCWpX0do8ePYL+jK7331598sknvu1btGhhApf/NpqMtSphYY8JAAAAAOUVVi1bSrvvDR06VLp27SrdunUzlQTT09NNdUJ16623SuPGjWXKlCnm9oMPPii9evWSZ599VgYMGCDz58+XdevWycsvv2zu125/Dz30kDz55JPSqlUrE77GjRtnmv20RDwAAAAAVImwNWTIEDl06JCZhFirCGpXvyVLlkj9+vXN/bt37zYVCm09e/aUefPmmdLuY8aMMYFKKxG2b9/et82oUaNMYLvzzjvl2LFjctFFF5nH1EmQI412b9Q5yPJ3cwTHNxJw/nJ8Ix3nMMc3knH+cnwjWVyEfgZ2aZWMUO8EAAAAAFQ2YTVmCwAAAAAqC8IWAAAAADiAsAUAAAAADiBsAQAAAABhq+po3ry5KVuff7nvvvvM/RkZGeZ6nTp1pHr16nLttdcWmNwZZTu+v/32m/zpT3+S1q1bS0JCgjRt2lQeeOABSU5O5pBW0Plr0/o8V1xxhblPq4ii4o7v6tWrpW/fvpKYmGgmf7zkkkvkxIkTHOIKOL5aKfePf/yjmcNRj+95550n77zzDse2hHJzc80ULDoVi77HnnnmmTJ58mTzfuD/3qBViRs2bGi26devn2zbto1jXAHHNzs7W/7yl79Ihw4dzPmrU+HotDp79+7l+FbQ+evv7rvvNu8fOpURKu74bt68Wa6++mozsbCex+eff76pWB6WtBohws/Bgwetffv2+ZZPPvlEzzLr888/N/fffffdVpMmTaxly5ZZ69atsy644AKrZ8+eod7tSnF8v/vuO+sPf/iD9f7771vbt283x7hVq1bWtddeG+rdrjTnr23q1KnWFVdcYe579913Q7a/le34rlq1ykpKSrKmTJliff/999aWLVusBQsWWBkZGaHe9UpxfH/3u99Z559/vrVmzRprx44d1uTJky23221t2LAh1LseEf76179aderUsT744ANr586d1ttvv21Vr17dmj59um+b//u//7Nq1qxpLVq0yPrmm2+sq6++2mrRooV14sSJkO57ZTi+x44ds/r162feE/S9YfXq1Va3bt2sLl26hHrXK835a1u4cKHVqVMnq1GjRtZzzz0Xkv2tjMd3+/btVu3ata1HH33UvO/q7ffee886cOCAFY4IWxHiwQcftM4880zL4/GYN8qYmBhzAto2b95sPgzomybKd3yDeeutt6zY2FgrOzubw1tBx3fjxo1W48aNzYdZwlbFHt/u3btbY8eO5Vx16PgmJiZac+fODdhG//C/8sorHPMSGDBggHX77bcHrNMvuG6++WZzXY9zgwYNrL///e+++/XvXlxcnPXmm29yjMt5fINZu3ateR/++eefOb4VdHz37Nlj/sbpF17NmjUjbFXg8R0yZIh1yy23WJGCMVsRICsrS/7973/L7bffbpqi169fb7oBaLcKW5s2bUx3N+06hPId32C0C6F2xYqODrt5wCPy+B4/flxuuukmmTFjhumKhYo7vgcPHpQ1a9ZIvXr1zKTvOiF8r169ZMWKFRzmCjp/9bguWLDAdDn2eDwyf/5807W7d+/eHOMS0OO3bNky+d///mduf/PNN+b81C7FaufOnaarpv/fOO0q1L17d/7GVcDxLexvnJ7ftWrV4hyugOOr7wva1fjRRx+Vc845h2NagcdXj+3ixYvl7LPPlv79+5u/dfreENZDEUKd9lA8beqPioqyfv31V3P7jTfeMK0s+Wm3llGjRnFIy3l88zt06JDVtGlTa8yYMRzbCjq+d955pzV8+HDfbVq2Ku74auu2Hk9taZk9e7bpYvHQQw+Z94z//e9/nMMVcP4ePXrUuuyyy8xxjo6ONl02ly5dyrEtodzcXOsvf/mL5XK5zPHTy6eeesp3/8qVK82x3bt3b8DPDR482Lr++us5zuU8vvlp18zzzjvPuummmzi2FXD+Kr2t3Y3t1nBatiru+Nq9YapVq2aGImgvGe0yr9stX77cCkd8TR8BZs2aZRK9DmLFqT2+KSkpMmDAAGnXrp1MnDiRw18Bx/f999+Xzz77TDZu3MjxdOD46rd+6q677pJhw4aZ6+eee675pnD27NkyZcoUjns5jq/SwdvHjh2TTz/9VOrWrWu+Ub3++uvlq6++MkUHULS33npL3njjDZk3b5751n/Tpk3y0EMPmWM8dOhQDt8pPL7aS0bPXf3O68UXX+TYV8Dx1d5H06dPlw0bNhTaWwZlP77237iBAwfKn//8Z3O9c+fOsmrVKpk5c6bpyRF2Qp32ULRdu3aZgdc6SNimBRv0V6ffrvrT1hdN+Sjf8bWlpKRYPXr0sC699FIGZVfg8dXxL/oNlLYW2Iuez7pdr169OH3LeXx/+uknczz/9a9/BWyrLQJ8c13+81cHYuvx1XEY/vR94q677uL8LYEzzjjDeuGFFwLWaZGR1q1bm+tadESPsX5j7e+SSy6xHnjgAY5xOY+vLSsryxo0aJDVsWNH6/DhwxzXCjq+WgijsL9x2sKF8h3fzMxM0+Kl6/xpz65wLRTHmK0w99prr5n+qNq6YuvSpYvExMSYb6ptW7duNSUve/ToEaI9rTzH127RuuyyyyQ2Nta0xMTHx4dsHyvb8X3sscfk22+/Nd9W2Yt67rnnzPYo3/HVsuX6DaC+J/jT/u/NmjXj8Jbz+Op4Q+V2B/75jIqK8n3jiqLpMSzq+GnJZx3L6f83Tt+TdSwif+PKf3z9W7S0nL620Oo0MqiY46tjtfL/jdP3ZB2/tXTpUg5zOY+vfi7TMu8R9Tcu1GkPRfdb1dYq7buan5Z+1/s+++wzU/pdW2B0QfmPb3Jysqnm1qFDB/Mttn8J6JycHA5xOY9vMIzZqtjjq9+s6jgirVi6bds2U5kwPj7enM8o3/HV1oCzzjrLuvjii03pdz2mzzzzjPkme/HixRzeEhg6dKip0maXdtby2HXr1g0Yc6yl32vVqmXKOX/77bfWwIEDKf1eQcdXz2Etpa8tCJs2bQr4G6etBij/+ZsfY7Yq9vjqOq3K/fLLL5u/cf/4xz9MC+JXX31lhSPCVhjTAdf6IXTr1q1BB7Tee++91mmnnWYGCV5zzTXmjRLlP746l46uD7bof3yU//zNj7BV8cdXBwzrhyl9f9AvYsL1j1AkHl8tNKKliOvVq2eOr3bDyl8KHoXTLtranVjDrH4J0LJlS+vxxx8P+KCvhQXGjRtn1a9f35R8126aJXkvQfHHV/+OFfY3Lv9ciCjb+ZsfYavij++sWbPMF1+6jc5lFmw4SLhw6T+hbl0DAAAAgMqGMVsAAAAA4ADCFgAAAAA4gLAFAAAAAA4gbAEAAACAAwhbAAAAAOAAwhYAAAAAOICwBQAAAAAOIGwBAAAAgAMIWwAAAADgAMIWACBi/fDDD3LLLbdI48aNJS4uTho1aiQ333yzWQ8AQKi5LMuyQr0TAACU1sKFC+XGG2+U2rVry/Dhw6VFixaya9cumTVrlhw5ckTmz58v11xzDQcWABAyhC0AQMTZsWOHdOzYUZo2bSpffvmlnH766b77Dh8+LBdffLH88ssv8u2330rLli1Duq8AgKqLboQAgIjz97//XY4fPy4vv/xyQNBSdevWlZdeeknS09Pl6aefNusmTpwoLpfLBDF/69atM+vnzJkTsN7j8ci0adPknHPOkfj4eKlfv77cddddcvTo0YDtmjdvLldeeWWB/bv//vvN4/rT27oftpycHPn9739vWuZ+/PFH3/rXXntN+vbtK/Xq1TNdI9u1aycvvvhimY4TACC0okP8/AAAlNp///tfE3S0BSuYSy65xNy/ePHiMh1dDVYawIYNGyYPPPCA7Ny5U1544QXZuHGjrFy5UmJiYsr9W7vjjjtk+fLl8sknn5hAZdNgpSHv6quvlujoaPNa7733XhMA77vvvnI/LwDg1CFsAQAiSnJysuzdu1cGDhxY5HbazfD999+X1NTUUj3+ihUr5NVXX5U33nhDbrrpJt/6Pn36yOWXXy5vv/12wPqyGDNmjPz73/+Wd955Ry688MKA+7744gtJSEgIaCXT5506dSphCwAiDN0IAQARxQ5PNWrUKHI7+/6UlJRSPb6GqZo1a8rvfvc70+3QXrp06SLVq1eXzz//PGD77OzsgO10ycjIKPTxtYVsypQp8vzzzwcNjP5BS4OlPl6vXr3kp59+MrcBAJGDli0AQESxQ1RxLVYlDWX5bdu2zYQaHTMVzMGDBwNuf/zxxwXGjRXmo48+MuPE1G+//RZ0G+2mOGHCBFm9erUZl+ZP90uDIAAgMhC2AAARRcNGw4YNTaXBouj9Ov9WUlJSqR5fx0Zp0NJuhMHkD1bdu3eXJ598skDr1XvvvVfgZ9euXSsjRoyQxMRE8zODBw+W1q1bB1RZvPTSS6VNmzam22CTJk0kNjZWPvzwQ3nuuefMvgEAIgdhCwAQcbQC4CuvvGLGV1100UUF7v/qq6/MnFta6KK0zjzzTPn000/NWCr/Ln2F0eqH/fr1C1i3aNGioNtq10QtgKHdDHWbO++80xTJsCsXajGMzMxMM9ZMy9rb8nddBABEBsZsAQAizqOPPmqCkIYpncDYn3bPu/vuu6VatWpmu9K6/vrrJTc3VyZPnlzgPi3XfuzYsTLvd8+ePSUqKsq0bM2cOdPMEaah0ab3KcuyAroOajl4AEDkoWULABBxWrVqJa+//rrcfPPN0qFDBxk+fLi0aNHCtGbNmjXLFJV48803TSuVv88++yygW6GOz1LfffedWfSxtBiFhjgtYrFp0ya57LLLTKl33VaLZ0yfPl2uu+66cr+G/v37yy233CKjRo2Sq666ynSN1OfSboN6W/chLS3NhDHt1rhv375yPycA4NQibAEAIpKOd9KxTRqK7IBVp04dU6JdS6u3b9++wM8MGTIk6GPp+ChtIbMnN9ZWJ60+qJMj62PpfFc6b5eGo/yl2stDJ05eunSpKem+cOFCM37rP//5j4wdO1YeeeQRadCggdxzzz1mnNjtt99eYc8LADg1XJZ/XwUAAKqg2267zVzaYQsAgIrAmC0AAAAAcADdCAEAVZ6O1QIAoKLRjRAAAAAAHEA3QgAAAABwAGELAAAAABxA2AIAAAAABxC2AAAAAMABhC0AAAAAcABhCwAAAAAcQNgCAAAAAAcQtgAAAADAAYQtAAAAAJCK9/8B22Ry7CseyOsAAAAASUVORK5CYII=", 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5o+1Ihx5qe9bjb9eunRmSq++x9nQdPnw43++bDs/VzyC9ZpT20un7oW1RX6P+29MzBiDAFHHVPgBhSsv4DhkyxGrTpo111llnmdLc5cqVszp06GC99NJLfstCHzx40FxLJT4+3pQT1+uv6LVoduzYYcrzaunkrLRUdtYy5/ocWtpbr430v//9z2dfT/lv3UfLT+e1dLBe62n06NGmrHN0dLR5DXqNpTFjxviU9/Ycw4gRI3I8xunKkWctj+5Pbse1a9cuc02iatWqmeti6U+9rev9yevrOJNy5FkX/V3rdbEmTZqU6/Wh/MnP6/GU8bZb/B37Bx98YHXp0sUcp5bH1tLZnTp1sp577jnrzz//LNB1nM70dfjjuYbXF198Yfve5fd5C7McedZF3099z/VaTd99912O/U+cOGHaYIMGDbzXbtLy63rJguwefPBBq3nz5qad6t9spUqVzL7z58/32c9Tjlxfx9atW60rr7zSiouLM6Xn9ffsrwx5fj9nPNc7u++++0xZdT32ChUqmOvFPf/882dcjlzLp2sJ/Nq1a5u/yfr161vjx483f49nWsocQNFy6H9KOrwBAFCYtBdEh4AVZPgdAp/+fuvUqWN66PT3DQBFiTlOAAAAAGCDOU4AgJCj80aKo4ogACB8EJwAACFHKxvqAgBAYWGOEwAAAADYYI4TAAAAANggOAEAAACAjbCb46RX6N67d6+50J5epR0AAABAeLIsSxITE81F0SMiTt+nFHbBSUNTjRo1SvowAAAAAASI3377TapXr37afcIuOGlPk+fNiYuLK+nDwRlKT0+XdevWmZLDLlfYNWMUM9obaHMIZXzGIZzbXEJCgulU8WSE0wm7M07P8DwNTQSn4P6Di4mJMb/Dkv6DQ+ijvYE2h1DGZxxoc5KnKTwUhwAAAAAAGwQnAAAAALBBcAIAAAAAG0wOAQAAAMK0FLfOccvIyCjW501PTzdzik6dOlXkc9WdTqd5jsK4DBHBCQAAAAgzqampsm/fPklOTi6RwFamTBnZs2dPsVxXVZ+rWrVqEhUVVaDHITgBAAAAYcTtdsvOnTtNb4xe+FUDRXEEmKzBSQObBpqifF59Hg2If/75p3m99evXt73I7ekQnAAAAIAwomFCw5Nev0jDS3GzLMsMDyxVqlSRB7bSpUtLZGSk7N6927xufc4zRXAqARluS7SNpKWLuC2RKJc2IBFnRN5qyAMAAAAFVZDel3B8nQSnYuR2WyYobT+giyVJKZnrNSudc5ZIw3iHlCtjiTOC8AQAAAAEEoJTMYamU2kiS3+wJPmvwOShvU2/H9HFkvPOEbMQngAAAIDAEVD9czrWcfTo0VKnTh0zHrFu3boyfvx4Mw4yqx9//FGuvvpqKVeunMTExEjr1q1NVY5Apq/gaz+hKbsf/xDZeVAkPcP3NQMAAAAoOQEVnJ566imZMmWKTJ482YQjvf3000/LpEmTvPts375dOnToII0aNZKvv/5atmzZYsJWQSZ6Fcecph0HxDs0z84Pv1sSJkNOAQAAEMBuu+026dOnj886rVJ3/vnnS9u2beX48eMSLgJqqN6KFSukd+/e0rNnT3O7du3a8t5778maNWu8+zz88MNy5ZVXmkDloT1TgUznMP16IO89SCnpIn8cETmngiURFIsAAABAgPjzzz+lc+fOZnTYl19+aUaAhYuACk7t27eXqVOnyrZt26RBgwayefNmWb58uTz//PNmu5ZN/Pzzz+XBBx+U7t27y8aNG82wvlGjRuVIwh4pKSlm8UhISPBesViX4qDD7k6czN/Qu/1HRSrHOpjrdJphnZ5SlkBRo72huNHmQHtDUdJzYD2P8ix5YVmWHDp0SC6//HKJjo42oSkuLs57/9tvv13eeecdn/sMHTpUXnzxRfNvPZ+fPn267NixQypUqGDO5XVdbGysd////e9/8sgjj5hOE32ONm3amE6Us846y+SAZ599Vt544w357bffpEqVKnLXXXeZTpW8HLsu/s7/85MHAio4jRw50gQbHYanF+TS/3FMmDBBbr75ZrP94MGDcuLECXnyySfl8ccfN0P5FixYIH379pWlS5dKx44dczzmxIkTZdy4cTnWr1u3zsyPKq7CEK7E/N3nUJLImv1Cj1Ou76lbEhMTzR9WuJTSRMmhvYE2h1DGZ1z40cvf6PWb9CK0dl9Cp6WlmXCxZ88e6dWrlznv+uSTT8y1kZKSkrz76TWSunbtaqbdqJtuusncz7OP/lvP3WvVqmUuRjt8+HCzeIKVTr/p0qWL3Hrrreb83eVyybfffmuygV6gV6fmaDDTbe3atZP9+/ebzpasx5Ab7UTR49PnyB4U83J/7/tm5TVmFoP3339fRowYIc8884w0adJENm3aJMOGDTNptH///rJ3714555xz5J///KfMmjXLez8tFKEhSBNpXnqc9GJfhw8fNim5uILTvA2ZpcjzqlG8SMNqDomgNLlf+ke+du1aUxhEQzZQlGhvKG60OdDeUJROnTplgpCO3LKrE6A9SRp0EhIS5Pvvv5eWLVvKsmXLcpx/aUeHhqzZs2eb25dddpk0b97cG4yy0vjx7rvvyv3332+G/nnur8ekj52dflleuXJlU/fgjjvuOKPXq6+hZs2aOV6vvq6KFSuauVp22SCgepw0NGmv04033mhuN23a1FzlV5OlBqezzz7bpM/GjRv73O+8884zQ/r80W4+XbLTx9GluIbq1ahkye7MdpEn9ao5JCqK6znZfVuif7TF9XtEeKO9gTaHUMZnXHjRcyf9nXsWO9rz06xZM9OpoSO8tJNDp8pkDyB6rp718bI+/uLFi805/U8//WT21R4oDTQnT540vV/62Nddd53f49H7aEeI9kjl5Xiz8xyHv/P//JxHBtQYJ+0uzD7sSk+MtQtZaTed9jD8/PPPPvtoN512+wUql9Mhjarl/ZdctbxIFFkAAAAAAeDcc8+VJUuWmM6LV199VcaOHWuGvWWlI8Pi4+P93n/Xrl1y1VVXmfA1Z84cM2XmueeeM9t0CJ3SYhO5Od224hRQwUnHTeqcJi0AoW+wjp/UYXr/+Mc/fHqlPvjgAzMx7NdffzWly+fNmyeDBg2SQBZTSqRZTfvwVCZapG09hzBCDwAAAIFAR4GdffbZ5t/aK6T1Bfr16+cNPTpPSC8ldMEFF/i9//r1601HiIaliy66yBSB0zlKWWmo0nDmT/369U14ym17WAYnHbd47bXXmhCkw+/+/e9/y913320uguuhIeq1114z5cj1l/jmm2+a5KrXdgpkzgiH1Ksq0qauQ0pH+d8n/iyRrk0d4orI7FIEAAAAAs0rr7xiirZpATYdRqf1B8qXLy89evTwu3+9evXM/Cc919eqev/5z3/krbfe8tlHh/7p/HXNAdqbpY+rhSa0kp/OS/q///s/U1l7xowZ5rquq1atyvEYRS2gBoRpOUKdQOZvEllWAwYMMEuw0fBUvaIlNc52yMHjIvuPZRaMKB3lkDqVRSKdWkWP0AQAAIDAVaFCBTP6S6+/qtdh1d4gncNUtmxZv/trkQgdRaZV9TQgXXrppWa4n5YT99BeKC1x/tBDD5ky5PqYeoFdDWVKq+rpfKQxY8aYYYHVqlWTe+65R4pTQFXVKw46GU0v1JWXyhlFyVyDyP33BXI1VCHvdELh6tWrzR8UxSFQ1GhvKG60OdDeUJQ8VebyUlWvqM6Dk5KSTFXs4hhldbrXm59sEFA9TuHEVPagijYAAAAQFAJqjhMAAAAABCKCEwAAAADYIDgBAAAAgA2CEwAAAADYIDgBAAAAgA2CEwAAAADYoBw5AAAAgDOS4bZEr8Skl2PSq8PqBWJD9fqkBCcAAAAA+Q5MGW6RX/eL/HHEktQMkSinyDkVHFKvqiXOiNALUAQnAAAAAPkKTb/uF/nuN8v0Mnkki8ixZEt++EOkaQ1PgAqd8MQcJwAAAAD5Ck1b9viGpqx0vW7X/XT/orBy5UpxOp3Ss2dPKS4EJwAAAAB5kuHO7GnKC91P9y8Kb731lgwZMkS+/fZb2bt3rxQHghMAAACAPPc2WXnsRNL9th8o/F6nEydOyAcffCD33nuv6XGaPn26FAeCEwAAAABbDsksBJEfvx8u/KF6s2fPlkaNGknDhg3llltukbffflusvKa5AiA4AQAAALDlcIipnpcfaRkihV0fQofpaWBSV1xxhRw/fly++eYbKWoEJwAAAAC2LCuz5Hh+RDpFCnOk3s8//yxr1qyRf/7zn+a2y+WSG264wYSpokY5cgAAAAC2LMm8TpOWHM+r6hULt7tJA1J6errEx8f/fVyWJdHR0TJ58mQpV66cFBV6nAAAAADYckbotZkyh+zlhe5Xt0rhXQhXA9OMGTPkueeek02bNnmXzZs3myD13nvvSVGixwkAAABAnjgjMi9uq9dpsqP76f6FZf78+XL06FEZOHBgjp6la665xvRG3XPPPVJU6HECAAAAkK9ep2Y1Hbn2POl63a77FVZvk9Jg1KVLF7/D8TQ4rVu3TrZs2SJFhR4nAAAAAPkMT5bUqeww12nSkuNaPU8LQeicpszheYUbmtS8efNy3damTZsiL0lOcAIAAACQL86IzGF4DapZ0qCaw5Qc91TPK+zAFCgITgAAAADOiDNLSHKGZl7yYo4TAAAAANggOAEAAACADYITAAAAANggOAEAAACADYITAAAAANggOAEAAADINysjPV/rgx3BCUEjPcOSDLcle49asvtPS1LSMm/regAAABQfy50h7oN7coQkvW3WuzNC7tfBdZwQ8Nwajtwi3+2xZM8hMf8WyxJXssjnGy2pcbYlTWuKRDlFIkL0gmsAAACBwnJnSNrmpeI+uFsiW3aXiLOqisPpygxNR/ZL2palElG5lkQ2v0wcEU4JFfQ4IeBDU2qGyKLvLNlx8K/QlEWGW2TXnyKLtlhyMjVzfwAAABR9aFIakiQ9TSzLEklPlbTvlpr1ul33K+yep9tuu00cDod3qVixolxxxRWyZcsWCavglJGRIaNHj5Y6depI6dKlpW7dujJ+/PjMX4Qf99xzj3nDXnzxxWI/VhQTh8iyHy1JTjn9bqfSRL750TL7AwAAoPBZ2qN0YLc3NBlpqZK6cZFYJxMldeNic9tD99P9C3vOkwalffv2mWXJkiXicrnkqquukrAaqvfUU0/JlClT5J133pEmTZrIunXr5Pbbb5dy5crJ0KFDffb95JNPZNWqVRIfH19ix4uipYH5yAmRY8l52z8pRWT/MZFq5S0TqAEAAFB4HE6XRFSuKZEXds/sWforJFnH/5TUZR/67hwZJZHNLvMO4ytM0dHRUrVqVfNv/Tly5Ei55JJL5M8//5RKlSpJWPQ4rVixQnr37i09e/aU2rVry7XXXivdunWTNWvW+Oz3xx9/yJAhQ+Tdd9+VyMjIEjteFC0dhvfL/vwNvftlnyWM1gMAACjC8FShqkRffK04yvkPKbpet0ecVa3QQ1N2J06ckJkzZ0q9evXMsL2w6XFq3769TJ06VbZt2yYNGjSQzZs3y/Lly+X555/37uN2u+XWW2+VESNGmF4pOykpKWbxSEhIMD/T09PNgsCl85USkiwRf9nJyjAFIszPLBKSdextRI65UEBBhxFrD6j+BIoDbQ7FifYWfvQcWP+/5lnyLcJpqnJFNuuUs6dJO5uadRKJKmX+7e/xC/TcIjJ//nwpW7as+XdSUpJUq1ZN5s2bZ0Ycne75/J3/5ycPBFRw0m42DTaNGjUSp9Np/pAnTJggN998s89wPh3HmH3oXm4mTpwo48aNy7FehwHGxMQU6vGjcGkDT00Scfk9V7XEkZEgrmPrMidC/cUdIbJ6NcP0ULj0C5vExETT+x0REVAd9QhRtDnQ3lCUNGCUKVNGkpOTz+hLwVJRkRJhZUjalq/9btf1kRd0EbfDKadS0/ye4+nnnIae/E6vSEtLk0svvVReeOEFc/vYsWPyxhtvSI8ePeTrr7+WmjVr5riPdqKkpqaaAhLZg5UeQ1AGp9mzZ5vhd7NmzTK9SZs2bZJhw4aZeUz9+/eX9evXy0svvSQbNmzI85s8atQoGT58uPe2BrMaNWpIq1atJC4urghfDQpKr9G0cZclvx32s9HKENfRdZJevpX2GXtXVykn0rqeg7LkKFT6P5W1a9dK69atzZc6QFGjzaE40d7Cz6lTp2TPnj0mPJUqldkzlGfuDFNyPDXLHKfszJyn/82RyKaXSUyFqpk9VFm3W5YJLNqJkd/gpNN09By+WbNm3nUXX3yxlC9f3uSIxx9/PMd99P/dUVFRZjhf9tfrGY0WdMFJh99pr9ONN95objdt2lR2795teo00OC1btkwOHjzokyT1j/2BBx4wlfV27drld/KYLtlpr5UuCFz622l4jiW/HcmlG1f/0DQ0Of7+PTaId4hOe6M4BAqbtin94OVzA8WFNofiRHsLL/r/sqwlvfPK+uvitqYEebY5TTo8T3uaNDQZaamStmFhZoGIyjVzzHU6k+fPfn8PHQ2iiwZCf4/neR5/5//5+f96QCUH7S7MPgxGT1S0K0/p3KYuXbr4bO/evbtZr9X3EHrKlRGpWFbk8An7fWNLZ/Y4EZoAAACKqDBElVrm4rbekuSRURJ1QVczpynqgi6S8r853p4o3U/3L+yL4OrQu/3795t/Hz16VCZPnmyKRPTq1UuKUkAFJ32xOqdJe5R0qN7GjRtNYYgBAwaY7VopI3u1DO2u0zKEDRs2LKGjRlHS7ww6NHLIV1stSTyV+35lokU6nucwdSSY4QQAAFBE52YRTolsfpn3IrjaoySuyMzCDK4oMzxPe5o0NOl+hR2a1IIFC0xBCBUbG2vqI3z44YfSqVMnCZvgNGnSJHMB3EGDBpkheTq36e6775YxY8aU9KGhhOgfYaTTki5NHfLDH5bsPCiSmqX4SWSESO0qIo2rO8QVIRLB9ZsAAACKJTy5D+z2uU6Tp1S5GZ5XBD1Navr06WYpCQEVnDQx6lwlXfLK37wmhBYzJtUp0vgckfNriBxJFElOccj2H0QuvsAhEU7dTj8TAABAsZ2fRTj9z1366yK5RRGaSlpABSfgdDzh6Ow4rbnvkN9cmdXzCE0AAADFz5HLxW2L+qK3JYULkgAAAACADYITAAAAANggOAEAAABhSC9EGw6sQnqdBCcAAAAgjOjlfDzXUA0HyX+9Ts/rPlOhOXMLAAAAgF9Op1PKly9vLv+jypQpY6oYF2cPUEpKijmOonxefR4NTfo69fXq8xUEwQkAAAAIM1WrVjU/PeGpOFmWJampqRIVFVUsgU1Dk+f1FgTBCQAAAAgzGliqVasmlStXlrS0tGJ97vT0dNmyZYvUq1dPXK6ijSM6PK+gPU0eBCcAAAAgTGmoKKxgkZ/gpL1OpUqVKvLgVJgoDgEAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAABBMwSkjI0NGjx4tderUkdKlS0vdunVl/PjxYlmW2Z6Wlib/93//J02bNpWYmBiJj4+Xfv36yd69e0v60AEAAACEMJcEkKeeekqmTJki77zzjjRp0kTWrVsnt99+u5QrV06GDh0qycnJsmHDBhOumjdvLkePHpX77rtPrr76arMvAAAAAIR8cFqxYoX07t1bevbsaW7Xrl1b3nvvPVmzZo25rQFq0aJFPveZPHmytGnTRvbs2SM1a9YskeMGAAAAENoCKji1b99epk6dKtu2bZMGDRrI5s2bZfny5fL888/nep/jx4+Lw+GQ8uXL+92ekpJiFo+EhATzMz093SwITjqsU4dw6k+A9oZQw2ccaG8IZRkBdB6XnzzgsDwTiAKA2+2Whx56SJ5++mlxOp3mzZwwYYKMGjXK7/6nTp2Siy++WBo1aiTvvvuu333Gjh0r48aNy7F+4cKFZp4UgpO2lcTERImNjZWIiICaqocQRHsDbQ6hjM84hHObS0pKku7du5vOmLi4uOAJTu+//76MGDFCnnnmGTPHadOmTTJs2DDT49S/f3+ffbVQxDXXXCO///67fP3117m+UH89TjVq1JDDhw/bvjkIXBqq165dK61btzYhG6C9IZTwGQfaG0JZRgCdx2k2qFixYp6CU0AN1dPQNHLkSLnxxhvNba2et3v3bpk4caJPcNLQdP3115ttX3311WlfZHR0tFmyc7lcZkHw0iGa+sfG7xG0N4QiPuNAe0MocwTIeVx+nj+gkoNWzcveXadvqHbnZQ9Nv/zyiyxdutQkRAAAAAAoSgEVnHr16mXmNGl1PB2qt3HjRjNMb8CAAd7QdO2115qS5PPnzzfdfPv37zfbKlSoIFFRUSX8CgAAAACEooAKTpMmTTLXaBo0aJAcPHjQXOD27rvvljFjxpjtf/zxh3z22Wfm3y1atPC5r/Y+derUqUSOGwAAAEBoC6jgpJU1XnzxRbP4o9d1CqBaFgAAAADCBHWcAQAAAMAGwQkAAAAAbBCcAAAAAMAGwQkAAAAAbBCcAAAAAMAGwQkAAAAAbBCcAAAAACCYruMEAAgNGW5Lsl52LyJCJMLhKMlDAgCgQAhOAIBCk56RmZZ2HhTZd8yS9AyR6EiRWmc7JL5CZphyRhCgAADBh+AEACi0XqbtB0S+/92SDLfvtr1HLROgLqrnkIqxFuEJABB0mOMEACiU0PTzXpEte3KGJo+UNJFvf7LkcGLm/gAABBOCEwCgwE6lZfY02dGheqt/tYTpTgCAYENwAgAUeF7Ttn1WvkLWvqMaouh1AgAED4ITAKBAXE6H/HY4f/fZfSj3IX0AAAQighMAoMBS0/O3v853AgAgmBCcAAAF5srn/01cTt50AEBwITgBAAo8x6lq+fzd55yzHMLlnAAAwYTgBAAo8BynhvGOfPU21aokEkFyAgAEEYITAKDAypUWqV4xb/s2reEwZckBAAgmrpI+AABA8NPeo7Z1RRxinbbCXrOaDqlTWcRJbxMAIMgQnAAAhRae2tQVaRQv5rpO+47p/CeR6EiRmhVF6ldzSJSL0AQACE4EJwBAoYan8jEiF9bJnPuUtYBE1tsAAAQb5jgBAApd9pBEaAIABDuCEwAAAADYIDgBAAAAgA2CEwAAAADYIDgBAAAAgA2CEwAAAADYIDgBAAAAgA2CEwAAAADYIDgBAAAAgA2CEwAAAADYIDgBAAAAQDAFp4yMDBk9erTUqVNHSpcuLXXr1pXx48eLZVneffTfY8aMkWrVqpl9unTpIr/88kuJHjcAAACA0BZQwempp56SKVOmyOTJk+XHH380t59++mmZNGmSdx+9/fLLL8trr70mq1evlpiYGOnevbucOnWqRI8dAAAAQOhySQBZsWKF9O7dW3r27Glu165dW9577z1Zs2aNt7fpxRdflEceecTsp2bMmCFVqlSRuXPnyo033pjjMVNSUszikZCQYH6mp6ebBcFJeye1PehPgPaGUMNnHGhvCGUZAXQel588EFDBqX379jJ16lTZtm2bNGjQQDZv3izLly+X559/3mzfuXOn7N+/3wzP8yhXrpy0bdtWVq5c6Tc4TZw4UcaNG5dj/bp160xvFYKT2+2WxMREE6ojIgKq4xQhiPYG2hxCGZ9xCOc2l5SUFJzBaeTIkaZHqFGjRuJ0Ok0KnTBhgtx8881mu4YmpT1MWeltz7bsRo0aJcOHD/fe1sevUaOGtGrVSuLi4or09aDoaNtYu3attG7d2rQVoCjR3lDcaHOgvSGUZQTQeZxnNFrQBafZs2fLu+++K7NmzZImTZrIpk2bZNiwYRIfHy/9+/c/o8eMjo42S3Yul8ssCF4Oh8P8sfF7BO0NoYjPONDeEMocAXIel5/nD6jkMGLECNPr5Bly17RpU9m9e7cZbqfBqWrVqmb9gQMHTFU9D73dokWLEjtuAAAAAKEtoCaHJCcn5xjnqElUx0EqLVOu4WnJkiU+3WtaXa9du3bFfrwAAAAAwkNA9Tj16tXLzGmqWbOmGaq3ceNGUxhiwIAB3i49Hbr3+OOPS/369U2Q0us+6VC+Pn36lPThAwAAAAhRARWc9HpNGoQGDRokBw8eNIHo7rvvNhe89XjwwQdN9Yu77rpLjh07Jh06dJAFCxZIqVKlSvTYAQAAAISugApOsbGx5jpNuuRGe50ee+wxswAAAABA2M1xAgAAAIBARHACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAAAorus4JSYmyvHjx8XtdufYVrNmzcJ6GgAAAAAIvuA0ZcoUef7552XHjh257pORkVHQpwEAAACA4Byq99prr8ngwYOlXr168vjjj4tlWTJs2DAZOXKkVK1aVZo3by5vvfVW4R0tAAAAAARbcJo0aZJ0795d/vvf/8pdd91l1vXs2VMmTJggP/zwgxm+d/jw4cI6VgAAAAAIvuC0fft26dWrl/l3ZGSk+Zmammp+litXTu644w559dVXC+M4AQAAACA4g5OGo/T0dPPvuLg4KVOmjPz222/e7bGxsbJ///6CHyUAAAAABGtwOv/882Xz5s3e2xdddJEpFvHHH3+YAPX6669LgwYNCuM4AQAAACA4q+rdcsstpkBESkqKREdHy7hx46RLly7e8uM6fG/OnDmFdawAAAAAEHzB6fbbbzeLx8UXXyzff/+9zJs3T5xOp3Tr1o0eJwAAAABBr9AugOtx7rnnyn333VfYDwsAAAAAwTnH6aeffjrt9gMHDsi1115bkKcAAAAAgOAOTh06dJBVq1b53fbmm29Ko0aNZPny5QV5CgAAAAAI7uDUpk0bUwxi/vz53nW//PKLXHbZZeaCuHqNJ70QLgAAAACE7RwnLQIxcOBA6du3r0yaNEkOHz4s48ePl2rVqsmCBQtMcQgAAAAACOvgpJXzpk+fLvHx8XLvvfeKw+GQYcOGmfCkF8MFAAAAAAn3oXoeTzzxhLz88ssmOCUnJ0vp0qUL42EBAAAAIPh7nB577DGf261atZKpU6fKrl27pF27dmadhqnRo0cX7CgBAAAAIFiD09ixY/2uX7hwoVkUwQkAAABAWAcnt9tdeEcCAAAAAKE8xwkAAAAAQhnBCQAAAACKcqheRESEmcN0Oro9PT29IE8DAAAAAMEbnAYNGuQNTidPnpS3335bevfuLdWrVy+s4wOAYmdZlvlss9wZ4ohw5nkbAAAIXQUKTpMnT/b++/DhwyY4DRkyRDp37lwYxwYAxU6Dkbjdkvrd1+Jq0EakVBnfbRnpkvrdNxLZuL1YkdGEJwAAwgRznAAge2hav0DcB3ZJ6up5Yp1KFsvt/mtbhqSu/ULcB3dLyqp5ImkppucJAACEvoAKTrVr1zZDYLIvgwcPNtv3798vt956q1StWlViYmLkwgsvlDlz5pT0YQMIIWkbFop1dH/mjdSTmeEpJVljlaStXyhWwqHMbadOZIYnLssAAEBYKNBQPX/sikWcztq1ayUj4+9vb7du3Spdu3aV6667ztzu16+fHDt2TD777DM5++yzZdasWXL99dfLunXr5IILLiiU4wcQxtwZ4qx9vrg1OGkPk0o9KWlrtOcpRiznUZEsH3HOc+prlZwSO1wAABAkwenqq6/2/jstLc38fPjhh02oyRqkPv300zw9XqVKlXxuP/nkk1K3bl3p2LGjub1ixQqZMmWKtGnTxtx+5JFH5IUXXpD169cTnAAUmMPpkogK8RJ5QRdJ27j47/CUliqWu5RIlloQzroXiOvc5sxxAgAgTBQoOG3ZssWnh6lWrVqyb98+sxS0Byo1NVVmzpwpw4cP9z5G+/bt5YMPPpCePXtK+fLlZfbs2XLq1Cnp1KlTro+TkpJiFo+EhATzU0ukUyY9eGnPpM45ydpDCRQWq1wViWjWWdI2fWWG6GVYmRlKfypnnWYiNc+XDLfOe+JyCyh8fMahONHeEM5tLj0fl01yWGbGc+DRUHTTTTfJnj17JD4+3qzTYXo33HCDfPnll+JyuaRMmTLy4YcfSrdu3XJ9nLFjx8q4ceNyrF+4cKGZJ4Xg5Ha7JTExUWJjY831xIDCZD4WLUvcxw+KWG7NTpJouSTWkW6G6kXEVRJxugo0NBk4HT7jUJxobwjnNpeUlCTdu3eX48ePS1xcXHAGJ30BUVFRMm/ePO86LXW+Zs0aeeKJJ8xwwLlz55qhesuWLZOmTZvmucepRo0apny63ZuDwKXfUOicuNatW4vTybV0UNihKUPS1v1dCEJ7mjamxckFkQni1KwUVVoiW18pjugy4iC4owjwGYfiRHtDOLe5hIQEqVixYp6Ck6swXrj2+ixdulQOHjwojz32mAkx+uRLliyRiy++WKpUqZKvx9y9e7csXrxYPv74Y++67du3m+tGacGIJk2amHXNmzc3oemVV16R1157ze9jRUdHmyU77bHSBcFLv+3XPzZ+jygsmSXH0yV1zUKJSDzkUwhCO5c0NJnglHZS3Ou+kKi2vcRRSsMT4R2Fj884FCfaG8K1zbny8fwF6hvToXMajHRI3XvvvWeq3f35559mW9myZWXo0KHy0ksv5ftxp02bJpUrVzZzmTySk7UcsBaw8j1kfcO1uw8ACuNDPDVLT5P3c6Z2U3HEnJWZnjz+KlVOOXIAAMJDgYLTyJEj5fvvvzfzhXbs2JH5bW2WQHPttdfKF198ka/H1BCkwal///4+CbBRo0ZSr149ufvuu81wPe2Beu6552TRokXSp0+fgrwMADCsjHRx1W8pkqUHSavnOc9tIY6oaIls1tknPLm0SATznAAACAsFCk46x0jnHem1lvxNkm7QoIHs2rUrX4+pQ/S0IMSAAQN81kdGRpoQpiXLe/XqJc2aNZMZM2bIO++8I1deeWVBXgYA/F2OvFwliWzZ3YSnv0uOR4jDESGOitUkskUXE5ZcDduKs0Yjcx8AABD6CvR/fJ3HVKdOnVy367Wd8lvyWyvk5Vavon79+jJnzpx8HycA5Dc8RXW45q/iD05vyXH9d0TFeInqcJ04oksTmgAACCMFCk56cdoNGzbkul3Lhjdu3LggTwEAxc70IpWKMb1MfreV9r8NAACErgL9n/+OO+6Qt99+21yU1tNLpEP2tPz3ww8/LAsWLDBzkgAg2JwuGBGaAAAIPwXqcbrvvvtMcYh//vOfUr58ebNOK+zpNZJ0iJ6GpoEDBxbWsQIAAABA8AUn7V164403TAW8jz76SH755RdTFU+H8F1//fVy6aWXFt6RAgAAAEAJKZRyUB06dDALAAAAAISiIq2ju3XrVnn++ee9t5s2bSr3339/UT4lAAAAAARWcNLrKJ3Od999Z66z1K9fv4I8DQAAAAAEb3C67bbbzDyn3K67pHT7tGnTCvI0AAAAABC8wWnt2rWn3b5ixQoZNmxYQZ4CAAAAAII7OLVs2fK02w8dOlSQhwcAAACA4L8ALgAAAACEA4ITAAAAABTlUL0jR46cdntCQkJBHh4AAAAAgj84nX322aZqHgAAAACEsgIFpzFjxhCcAAAAAIS8AgWnsWPHmp9JSUlmWF5sbKyULVu2sI4NAAAAAIK7OMSuXbtk0KBBUqtWLYmLi5Pq1atLuXLlpGbNmjJ48GCzHQAAAADCNjh9+umn0qxZM3nttdfE6XRKr1695KabbjI/XS6XTJkyRZo2bWr2AwAAAICwG6r3ww8/yA033CDnnnuuvP7663LJJZfk2GfZsmVyzz33yI033ijr16+Xxo0bF9bxAgAAAEDg9zg98cQTppre8uXL/YYmpes1PFWsWFEmTpxYGMcJAAAAAMETnJYuXSoDBw6UChUqnHY/3T5gwAD56quvCnJ8AAAAABB8wenw4cNSu3btPO1bp04dsz8AAAAAhFVw0mF6O3fuzNO+up/uDwAAAABhFZw6deokb731lhw5cuS0++l23U/3BwAAAICwCk4PPfSQGX536aWXyooVK/zuo+s7duxo9hs1alRhHCcAAAAABE85ci0tPmvWLOnXr5+pnqfznZo3by6xsbGSmJgoW7ZsMUP0SpUqJTNnzpQmTZoUzZEDAAAAQKAGJ9W3b19p0aKFPP300zJ//nyZO3eud1u1atXkjjvukBEjRki9evUK81gBAAAAIHiCk9IL4L722mvm3wkJCaa3SXud4uLiCvP4AAAAACB4g1NWGpYITAAAAABCVb6LQwAAAABAuCmUHicAAIDiZmWkizgcIpYlDqcrl20iDqeTXw6AAqPHCQAABB0NRlbiEUn5drZYScczg1KWbe5jBzO3nTohVkZGiR4rgNBAcAIAAEEZmlLX/VckJVlS137uDU+e0JS24cvMbavnEZ4AhF5w0mtCORyOHMvgwYO9+6xcuVI6d+4sMTExpiCFXoj35MmTJXrcAACgODkkdeMiEU8vU3raX+HpmLiPHcgMTe6/epnSUiRN940IqFMeAEEooOY4rV27VjKydKdv3bpVunbtKtddd503NF1xxRUyatQomTRpkrhcLtm8ebNE8GEIAEAYsSTqgq6ZPU5Zw9PKT3PuGhktkRd0FbHcOtmp2I8UQOgIqOBUqVIln9tPPvmk1K1bVzp27Ghu33///TJ06FAZOXKkd5+GDRsW+3ECAICSYwpBxFaQqFY9fMNTdpHREtW2lzhKlxVHBKEJQAgFp6xSU1Nl5syZMnz4cDNc7+DBg7J69Wq5+eabpX379rJ9+3Zp1KiRTJgwQTp06JDr46SkpJjFQy/Wq9LT082C4KQ9k5Zl+fRQArQ3hAo+4/LGKlNOIi7oKmlr/5tzoyNCIltdKRmRpcXhtkTc/D+f9oZAkRFA53H5yQMOS486AM2ePVtuuukm2bNnj8THx8uqVaukXbt2UqFCBXn22WelRYsWMmPGDHn11VfNkL769ev7fZyxY8fKuHHjcqxfuHChmSeF4OR2uyUxMVFiY2MZqgnaG0IOn3F5Y+nwu7Q0cZ847GerQyLizhZxuswXsKC9IXC4A+g8LikpSbp37y7Hjx839ROCMjjpC4iKipJ58+aZ2ytWrJCLL77YzG964oknvPs1a9ZMevbsKRMnTsxzj1ONGjXk8OHDtm8OApd+Q6Fz4lq3bi1Ors8B2htCDJ9x9ix3hlhaCGLTV38XgsjOFSmRLa8QR0x5cTAfmvaGgJERQOdxmg0qVqyYp+AUkEP1du/eLYsXL5aPP/7Yu65atWrmZ+PGjX32Pe+880yvVG6io6PNkp0WltAFwUu/QdQ/Nn6PoL0hFPEZlztTcjzxkKRt/kqcVoZ2LnneNHPB27/+I5KRJu4NCySqdc/M8MQXbbQ3BAxHgJzH5ef5A7I257Rp06Ry5cqmJylrqXIdsvfzzz/77Ltt2zapVatWCRwlAAAoKWlbvvbtadJCEO37SlTbq8zwPK/0NEnbspRy5AAKLCIQxzxqcOrfv79PAtRUOmLECHn55Zflo48+kl9//VVGjx4tP/30kwwcOLBEjxkAABQnh6moJ64o3+p5ZWLF8Ve1PW94ii5jhuuZcuQAUAABN1ZNh+jp0LsBAwbk2DZs2DA5deqUKUt+5MgRad68uSxatMiULAcAAOHBDLkrU06i2vSUtE2LJfLC7uIolaXk+F/hKe27bySyVQ9xRJemHDmA0AtO3bp1M+UJc6PXcMp6HScAABDG4anDtSJuy2f+kvc6Tx2u0dJ7hCYAoRmcAAAA8sIblvwU5TLhyfyD9xJAiM5xAgAAAIBAQ3ACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAgGAKTrVr1xaHw5FjGTx4sM9+lmVJjx49zLa5c+eW2PECAAAACA8uCSBr166VjIwM7+2tW7dK165d5brrrvPZ78UXXzShCQAAAADCLjhVqlTJ5/aTTz4pdevWlY4dO3rXbdq0SZ577jlZt26dVKtWrQSOEgAAAEC4CajglFVqaqrMnDlThg8f7u1dSk5OlptuukleeeUVqVq1ap4eJyUlxSweCQkJ5md6erpZEJy0Z1KHbGbtoQRobwgVfMaB9oZQlhFA53H5yQMBG5x07tKxY8fktttu8667//77pX379tK7d+88P87EiRNl3LhxOdZrj1VMTEyhHS+Kl9vtlsTERFmzZo1ERATUVD2EINobaHMIZXzGIZzbXFJSUp73dVga9wJQ9+7dJSoqSubNm2duf/bZZ/LAAw/Ixo0bpWzZsmad9kR98skn0qdPn3z1ONWoUUMOHz4scXFxxfBKUBT0GwqdE9e6dWtxOp28yShStDcUN9ocaG8IZRkBdB6n2aBixYpy/Phx22wQkD1Ou3fvlsWLF8vHH3/sXffVV1/J9u3bpXz58j77XnPNNXLJJZfI119/7fexoqOjzZKdy+UyC4KXBmf9Y+P3CNobQhGfcaC9IZQ5AuQ8Lj/PH5DJYdq0aVK5cmXp2bOnd93IkSPljjvu8NmvadOm8sILL0ivXr1K4CgBAAAAhAtXII551ODUv39/nwSoxSD8FYSoWbOm1KlTp5iPEgAAAEA4CbhZ9TpEb8+ePTJgwICSPhQAAAAACMwep27dupnyhHkRoHUtAAAAAISYgOtxAgAAAIBAQ3ACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAACwQXACAAAAABsEJwAAAAAIpuBUu3ZtcTgcOZbBgwfLkSNHZMiQIdKwYUMpXbq01KxZU4YOHSrHjx8v6cMGAAAAEOJcEkDWrl0rGRkZ3ttbt26Vrl27ynXXXSd79+41y7PPPiuNGzeW3bt3yz333GPWffTRRyV63AAAAABCW0AFp0qVKvncfvLJJ6Vu3brSsWNH0/M0Z84c7zZdP2HCBLnlllskPT1dXC7/LyUlJcUsHgkJCean3kcXBCcN2JZl+QRtgPaGUMFnHGhvCGUZAXQel588EFDBKavU1FSZOXOmDB8+3IQmf3SYXlxcXK6hSU2cOFHGjRuXY/26deskJiamUI8ZxcftdktiYqKsWbNGIiICasQpQhDtDbQ5hDI+4xDObS4pKSnP+zosjXsBaPbs2XLTTTfJnj17JD4+Psf2Q4cOScuWLU2Pk/Y85cZfj1ONGjXk8OHDJnQhOOk3FDq0s3Xr1uJ0Okv6cBDiaG+gzSGU8RmHcG5zCQkJUrFiRW+HTFD2OL311lvSo0cPv6FJX2DPnj3NXKexY8ee9nGio6PNkp32Up2upwqBT3si9Y+N3yNobwhFfMaB9oZQ5giQ87j8PH9AJgct/LB48WL5+OOPc2zTbr0rrrhCYmNj5ZNPPpHIyMgSOUYAAAAA4SMgJ4dMmzZNKleubHqVsvc0devWTaKiouSzzz6TUqVKldgxAgAAAAgfrkCcLKbBqX///j5dZ57QlJycbIpG6G1PhTytxlfS4yMBAAAAhK6AC046RE8LQgwYMMBn/YYNG2T16tXm3/Xq1fPZtnPnTnPxXAAAAAAIi+CkvUr+Cv116tTJ73oAAAAACMs5TgAAAAAQSAhOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAGCD4AQAAAAANghOAAAAAIqMlZEhlmXle1ugITgBAAAAKBKWBqNTJyRty9diuTN8t7ndYiUdk7St3+bYFohcJX0AAAAAAEI3NKWunieSliJpaSkSeWHXzG2WZUJT6oYFIulpkpaeJpHNLxNHhFMCVUD1ONWuXVscDkeOZfDgwWb7qVOnzL8rVqwoZcuWlWuuuUYOHDhQ0ocNAAAAIAsz/C49xRualPvwH5K2YZHpaZKMdElbnxmazLaDuyVt6zKxLLcEqoAKTmvXrpV9+/Z5l0WLFpn11113nfl5//33y7x58+TDDz+Ub775Rvbu3St9+/Yt4aMGAAAAkJV2fkhktDir1PZZb8LTqs/EnXDIG5oMp0tcNRuLaKgKUAE1VK9SpUo+t5988kmpW7eudOzYUY4fPy5vvfWWzJo1Szp37my2T5s2Tc477zxZtWqVXHTRRSV01AAAAACy02F3rvPamX9n/P6zd72VfFxE4v7e0emSqFY9xBFbQRzOgIonPgL2yFJTU2XmzJkyfPhwk1jXr18vaWlp0qVLF+8+jRo1kpo1a8rKlStzDU4pKSlm8UhISDA/09PTzYLglPFXBRb9CdDeEGr4jAPtDSGlfhsRtyUZf2wzNzMsHcqX+VMinBJ5QTfJKFNOHHq7mM/P85MHAjY4zZ07V44dOya33Xabub1//36JioqS8uXL++xXpUoVsy03EydOlHHjxuVYv27dOomJiSmCI0dxcLvdkpiYKGvWrJGIiIAacYoQRHsDbQ6hjM84FM98pzRxp/3Vy2SJnLBcsiktThxulzh+3C4Ox44S+UUkJSUFf3DSYXk9evSQ+Pj4Aj3OqFGjTK9V1h6nGjVqSKtWrSQuLksXIYLu21idE9e6dWtxOgO3+gpCA+0NtDmEMj7jUJQsT8lxLQQRmTmnSXuaNqbFSYvIBHE6RCKiSomrxeXiKIEvwz2j0YI2OO3evVsWL14sH3/8sXdd1apVzfA97YXK2uukVfV0W26io6PNkp3L5TILgpcO4dTQxO8RtDeEIj7jQHtDaJQjTzQlx50ZaSKOv7dp7QjnX4sc3SvWlq/EdWHXYi9Hnp/zyIAc46RFHypXriw9e/b0rmvZsqVERkbKkiVLvOt+/vln2bNnj7RrlznpDAAAAECADM9LOyWpaz/PUT0vsvnl4ogqk7Panl4kV+8XoFyBOM5Wg1P//v19EmC5cuVk4MCBZthdhQoVzDC7IUOGmNBERT0AAAAgsHrNrahS4qzeSDJ2fedTPS+jTHlxxPwuznJxInszC0aIK0pcdS/ILEceoNMwAi446RA97UUaMGBAjm0vvPCCKQSgF77VSnndu3eXV199tUSOEwAAAIBNOfL6Lc2/M3778e+S49Zfw5EbthGJcEjG/p0S1aanOLSyXoCGpoAMTt26dcu1i65UqVLyyiuvmAUAAABAcIQnV83zRKJKZ16n6a8S4FoMwnleO3Gd2+KvbYEbmgIyOAEAAAAIrfBklYoRhyMil21l/G4LNIF/hAAAAACCmuM0wSgYQpMKjqMEAAAAgBJEcAIAAAAAGwQnAAAAALBBcAIAAAAAGwQnAAAAALBBcAIAAAAAGwQnAAAAALBBcAIAAAAAGy4JM5ZlmZ8JCQklfSgogPT0dElKSjK/R5cr7JoxihntDbQ5hDI+4xDObS7hr0zgyQinE3ZnnImJieZnjRo1SvpQAAAAAARIRihXrtxp93FYeYlXIcTtdsvevXslNjZWHA5HSR8OCvDtgIbf3377TeLi4ngfUaRobyhutDnQ3hDKEgLoPE6jkIam+Ph4iYg4/SymsOtx0jekevXqJX0YKCT6x1bSf3AIH7Q30OYQyviMQ7i2uXI2PU0eFIcAAAAAABsEJwAAAACwQXBCUIqOjpZHH33U/ARobwg1fMaB9oZQFh2k53FhVxwCAAAAAPKLHicAAAAAsEFwAgAAAAAbBCcAAAAAsEFwAgAAAAAbBCcErIkTJ0rr1q0lNjZWKleuLH369JGff/7ZZ59Tp07J4MGDpWLFilK2bFm55ppr5MCBAyV2zAjd9nbkyBEZMmSINGzYUEqXLi01a9aUoUOHyvHjx0v0uBHan3EeWsepR48e4nA4ZO7cucV+rAif9rZy5Urp3LmzxMTEmAuTXnrppXLy5MkSOWaEfpvbv3+/3HrrrVK1alXT5i688EKZM2eOBCqCEwLWN998Y0LRqlWrZNGiRZKWlibdunWTpKQk7z7333+/zJs3Tz788EOz/969e6Vv374letwIzfambUuXZ599VrZu3SrTp0+XBQsWyMCBA0v60BHCn3EeL774oglNQFG2Nw1NV1xxhVm/Zs0aWbt2rfzrX/+SiAhOF1E0ba5fv34mTH322Wfy3XffmXO466+/XjZu3BiYb7mWIweCwcGDB7V0vvXNN9+Y28eOHbMiIyOtDz/80LvPjz/+aPZZuXJlCR4pQrG9+TN79mwrKirKSktLK9ZjQ3i1uY0bN1rnnHOOtW/fPrP9k08+KbFjRGi3t7Zt21qPPPJIiR4XwqvNxcTEWDNmzPDZr0KFCtYbb7xhBSK+QkDQ8AyJqlChgvm5fv168+1Fly5dvPs0atTIDKHSb82Awmxvue2jQ1lcLhdvNoqkzSUnJ8tNN90kr7zyihnKAhRVezt48KCsXr3aDKlq3769VKlSRTp27CjLly/nTUeRtDmlbe2DDz4ww+Hdbre8//77ZhpGp06dJBARnBAU9I9p2LBhcvHFF8v555/vHRcbFRUl5cuX99lXP+x1G1CY7S27Q4cOyfjx4+Wuu+7ijUaRtTkdjqwnFr179+ZdRpG2tx07dpifY8eOlTvvvNMMRdb5Jpdffrn88ssvvPsoks+42bNnmy/Bda56dHS03H333fLJJ59IvXr1JBDxNSmCgo6R1XklfPOFQGhvCQkJ0rNnT2ncuLE5yQCKos3pmP+vvvoqcMf6I6Tam57YKj1xvf32282/L7jgAlmyZIm8/fbbZqI/UNj/Xx09erQcO3ZMFi9eLGeffbYpfqNznJYtWyZNmzaVQENwQsDTianz58+Xb7/9VqpXr+5dr8NWUlNTzR9c1l4nrarHkBYUdnvzSExMNJOntUqQfisWGRnJm40iaXMamrZv356jV12rh15yySXy9ddf886j0NpbtWrVzE/9Qiir8847T/bs2cM7jUJvc/r5NnnyZBOomjRpYtY1b97chCYdnvzaa69JoGGoHgKWlt/VPzY9OdUTiDp16vhsb9mypTlp1W/DPLQyi37At2vXrgSOGKHc3jw9TVoRSIeIam9AqVKlSuRYER5tbuTIkbJlyxbZtGmTd1EvvPCCTJs2rYSOGqHa3mrXri3x8fE5ykVv27ZNatWqVcxHi3Boc8nJyeZn9qqNTqfT2wMaaOhxQkB3686aNUs+/fRT8+2+Z95SuXLlzHV09KeWgh4+fLiZaKiT9PU6OxqaLrroopI+fIRYe/OEJv2gnzlzprmti6pUqZL5oAcKs81pz7m/3nMtgOMv2AMFaW9a7n7EiBHy6KOPmm/9W7RoIe+884789NNP8tFHH/HmotDbnBb00rlMOjxUL/Wh85x0qJ6WLtceqoBU0mX9gNxo8/S3TJs2zbvPyZMnrUGDBllnnXWWVaZMGesf//iHKdkLFHZ7W7p0aa777Ny5kzcchd7mcrsP5chRlO1t4sSJVvXq1c3/U9u1a2ctW7aMNxxF1ua2bdtm9e3b16pcubJpc82aNctRnjyQOPQ/JR3eAAAAACCQMccJAAAAAGwQnAAAAADABsEJAAAAAGwQnAAAAADABsEJAAAAAGwQnAAAAADABsEJAAAAAGwQnAAAAADABsEJAAAAAGwQnAAAxW769OnicDh8lsqVK8tll10m//3vf/mNAAACjqukDwAAEL4ee+wxqVOnjliWJQcOHDCB6sorr5R58+bJVVddVdKHBwCAF8EJAFBievToIa1atfLeHjhwoFSpUkXee+89ghMAIKAwVA8AEDDKly8vpUuXFpfr7+/1kpKS5IEHHpAaNWpIdHS0NGzYUJ599lnTS+Vx+PBhE8KqV69u9qlWrZrcfPPNsnv3bu8+u3btMkMC9b4vvPCC1KpVyzxXx44dZevWrT7HsWXLFrntttvk3HPPlVKlSknVqlVlwIAB5nmy++OPP0zgi4+PN8+tPWj33nuvpKam+h2SmH3RfQAAgY8eJwBAiTl+/LgcOnTIhKCDBw/KpEmT5MSJE3LLLbeY7br+6quvlqVLl5pw0qJFC1m4cKGMGDHCBBYNQEpDSmxsrNx3331SsWJF2b59u3ksDUDfffedz3POmDFDEhMTZfDgwXLq1Cl56aWXpHPnzmY/7e1SixYtkh07dsjtt99uQtP3338vU6dONT9XrVplAo/au3evtGnTRo4dOyZ33XWXNGrUyBzXRx99JMnJyXLppZfKf/7zH+9zT5gwwfx8+OGHvevat29fDO80AKDALAAAitm0adO0uyjHEh0dbU2fPt2739y5c836xx9/3Of+1157reVwOKxff/011+d4+umnzX0PHTpkbu/cudPcLl26tPX7779791u9erVZf//993vXJScn53i89957z+z37bffetf169fPioiIsNauXZtjf7fbnWNdx44dzQIACD4M1QMAlJhXXnnF9O7oMnPmTFNV74477pCPP/7YbP/iiy/E6XTK0KFDfe6nQ/e0Nyp7BT7tSdKeq5UrV5p5Uk2aNJEKFSr47NOnTx8555xzvLe1x6ht27bmuTx0CJ+H9kppr9hFF11kbm/YsMH8dLvdMnfuXOnVq5fPPC0PT68UACA0EJwAACVGQ0uXLl3MonOSPv/8c2ncuLH861//MsPvdI6Szh3SYXhZnXfeeeZn1jlM6s477zTD7XT4m86TWrx4cY4AU79+/RzH0aBBAzMHyuPIkSNm2J8+loaoSpUqmblLnuGF6s8//5SEhAQ5//zzC/EdAQAEKoITACBgREREmF6nffv2yS+//JLv+z/yyCOyYMEC05OlPU833nijpKen5/txrr/+ennjjTfknnvuMb1fX375pXlcT08TACD8UBwCABBQPEFHi0Ro5TvtNdIheFl7nX766SfzU7dnpb0/nh6gpk2bmuIMOgxQK+55+Atk27Ztk9q1a5t/Hz16VJYsWSLjxo2TMWPG5Ho/7YWKi4vLUZEPABCa6HECAASMtLQ007sTFRVlhuPpxXAzMjJk8uTJPvtpNT0dgpc1EGWn85JUSkqKz3qdl6SV7zzWrFkjq1ev9j6WzqlSWcudqxdffDFH75jOl9KL9a5bty7H82e/PwAguNHjBAAoMVrcwdN7pEPrZs2aZXp2Ro4caXpztPCCDt3T8t06B6l58+YmWH366acybNgwqVu3rrmvDqv79ttv5cILLzT3++GHH8w6vZ7T5Zdf7vOc9erVkw4dOphrLWmo0kCkJcwffPBBs13vrz1VTz/9tAlyWkhCn3Pnzp05jv+JJ54w2/RaUFqOXMOeDjP88MMPZfny5ea6VACA0EBwAgCUmKxD4fRCs3odpClTpsjdd9/t7dX57LPPzH4ffPCBTJs2zQype+aZZ0xlPQ+9KK5eL2n+/Ply8uRJE5h0ftNDDz2Uo7BEv379zONqYNKwpgUqtEdL7+OhAW7IkCFmrpT2HHXr1s2EPC1UkZWGKu2tGj16tLz77rumWISu096rMmXKFOE7BwAobg6tSV7szwoAQDHTHiutjKeh69///jfvPwAgX5jjBAAAAAA2CE4AAAAAYIPgBAAAAAA2mOMEAAAAADbocQIAAAAAGwQnAAAAALBBcAIAAAAAGwQnAAAAALBBcAIAAAAAGwQnAAAAALBBcAIAAAAAGwQnAAAAAJDT+3/QeETcFF5r6wAAAABJRU5ErkJggg==", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# 1. Создание DataFrame\n", + "df = pd.DataFrame({\n", + " \"Имя\": [\"Ренат\", \"Никита\", \"Кирилл\", \"Илья\", \"Егор\", \"Игорь\"],\n", + " \"Возраст\": [23, 22, 19, 25, 20, 28],\n", + " \"Оценка\": [81, 78, 86, 76, 84, 70],\n", + " \"Класс\": [\"A\", \"B\", \"A\", \"B\", \"A\", \"B\"]\n", + "})\n", + "print(\"Таблица создана:\")\n", + "print(df)\n", + "print(\"\\n\" + \"=\"*50 + \"\\n\")\n", + "# 2. Boxplot (ящик с усами) - распределение оценок по классам\n", + "plt.figure(figsize=(10, 5))\n", + "sns.boxplot(x=\"Класс\", y=\"Оценка\", data=df) \n", + "plt.title(\"Распределение оценок по классам\", fontsize=14)\n", + "plt.xlabel(\"Класс\", fontsize=12)\n", + "plt.ylabel(\"Оценка\", fontsize=12)\n", + "plt.grid(axis=\"y\", linestyle=\"-\", alpha=0.75)\n", + "plt.show()\n", + "\n", + "# 3. Histplot (гистограмма) - распределение оценок\n", + "plt.figure(figsize=(10, 5))\n", + "sns.histplot(df[\"Оценка\"], bins=5, kde=True, color=\"pink\", alpha=0.7)\n", + "plt.title(\"Распределение оценок\", fontsize=14)\n", + "plt.xlabel(\"Оценка\", fontsize=12)\n", + "plt.ylabel(\"Частота\", fontsize=12)\n", + "plt.grid(axis=\"y\", linestyle=\"-\", alpha=0.75)\n", + "plt.show()\n", + "\n", + "# 4. Scatterplot (точечная диаграмма) - зависимость оценок от возраста\n", + "plt.figure(figsize=(10, 5))\n", + "sns.scatterplot(x=\"Возраст\", y=\"Оценка\", hue=\"Класс\", style=\"Класс\", data=df, palette=\"coolwarm\", s=100)\n", + "plt.title(\"Зависимость оценок от возраста\", fontsize=14)\n", + "plt.xlabel(\"Возраст\", fontsize=12)\n", + "plt.ylabel(\"Оценка\", fontsize=12)\n", + "plt.legend(title=\"Класс\")\n", + "plt.grid(axis=\"both\", linestyle=\"-\", alpha=0.75)\n", + "plt.show()\n", + "\n", + "# 5. Pairplot (матрица диаграмм рассеяния) - парные зависимости\n", + "sns.pairplot(df, hue=\"Класс\", palette=\"husl\")\n", + "plt.suptitle(\"Парные зависимости в данных\", fontsize=16, y=1.1)\n", + "plt.show()\n", + "\n", + "# 6. Heatmap (тепловая карта) - корреляционная матрица\n", + "# Выбираем только числовые столбцы (Возраст и Оценка)\n", + "numeric_df = df[[\"Возраст\", \"Оценка\"]]\n", + "\n", + "plt.figure(figsize=(10, 5))\n", + "sns.heatmap(numeric_df.corr(), annot=True, cmap=\"coolwarm\", linewidths=0.5, fmt=\".2f\")\n", + "plt.title(\"Корреляционная матрица\", fontsize=14)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "1d848d77-5bef-403e-ac57-b9d162a30b78", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Загрузка: 100%|\u001b[31m██████████████████████\u001b[0m| 50/50 [00:00<00:00, 164.86it/s]\u001b[0m\n", + "Обработка: 100%|\u001b[31m██████████████████████\u001b[0m| 50/50 [00:00<00:00, 90.86it/s]\u001b[0m\n", + "Обработка записей: 25%|\u001b[32m█████████████████████████████████████████▊ \u001b[0m| 1/4 [00:00<00:01, 1.99it/s]\u001b[0m" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Запись обработана: Гареев - 81 баллов\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Обработка записей: 50%|\u001b[32m███████████████████████████████████████████████████████████████████████████████████▌ \u001b[0m| 2/4 [00:01<00:01, 1.99it/s]\u001b[0m" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Запись обработана: Гунбин - 83 баллов\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Обработка записей: 75%|\u001b[32m█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ \u001b[0m| 3/4 [00:01<00:00, 1.99it/s]\u001b[0m" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Запись обработана: Сидоров - 75 баллов\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Обработка записей: 100%|\u001b[32m███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████\u001b[0m| 4/4 [00:02<00:00, 1.99it/s]\u001b[0m" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Запись обработана: Шишкин - 86 баллов\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "from tqdm import tqdm\n", + "import time\n", + "import pandas as pd\n", + "\n", + "# прогресс-бар с измененным шагом и временем ожидания\n", + "for i in tqdm(range(50), desc=\"Загрузка\", ncols=70, position=0, colour=\"red\"):\n", + " time.sleep(0.005) # Симуляция процесса\n", + "\n", + "# кастомный прогресс-бар со стилизацией\n", + "for i in tqdm(range(50), desc='Обработка', colour=\"red\",position=0, ncols=70):\n", + " time.sleep(0.010) # Симуляция процесса\n", + "\n", + "# tqdm для работы с DataFrame\n", + "df = pd.DataFrame({\n", + " \"Фамилия\": [\"Гареев\", \"Гунбин\", \"Сидоров\", \"Шишкин\"],\n", + " \"Возраст\": [23, 22, 20, 28],\n", + " \"Рейтинг\": [81, 83, 75, 86]\n", + "})\n", + "\n", + "# итерация по строкам DataFrame с прогресс-баром\n", + "for index, row in tqdm(df.iterrows(), total=df.shape[0], desc=\"Обработка записей\",position=0, colour=\"green\",):\n", + " time.sleep(0.5) # Имитация обработки строки\n", + " print(f\"Запись обработана: {row['Фамилия']} - {row['Рейтинг']} баллов\")" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "4dd17b4c-53fb-457f-9134-d88c23e2d789", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " Первые 5 строк:\n", + " work_year job_title job_category \\\n", + "0 2022 Machine Learning Engineer in office Analysis \n", + "1 2020 Statistician (Remote) ML/AI \n", + "2 2022 Machine Learning Engineer ML/AI \n", + "3 2022 Data Analyst in office ML/AI \n", + "4 2020 Statistician Data Science \n", + "\n", + " salary_currency salary salary_in_usd employee_residence experience_level \\\n", + "0 EUR 186597 136086 US MI \n", + "1 JPY 110630 67982 JP EX \n", + "2 INR 61280 153309 UK MI \n", + "3 JPY 154130 135242 DE SE \n", + "4 EUR 172312 35156 UK MI \n", + "\n", + " employment_type work_setting company_location company_size \n", + "0 CT Remote DE L \n", + "1 FL Remote IN M \n", + "2 CT Hybrid CN L \n", + "3 FT Hybrid MX L \n", + "4 FT In-person UK S \n", + "\n", + " Информация о данных:\n", + "\n", + "RangeIndex: 5000 entries, 0 to 4999\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype\n", + "--- ------ -------------- -----\n", + " 0 work_year 5000 non-null int64\n", + " 1 job_title 5000 non-null str \n", + " 2 job_category 4500 non-null str \n", + " 3 salary_currency 4500 non-null str \n", + " 4 salary 5000 non-null int64\n", + " 5 salary_in_usd 5000 non-null int64\n", + " 6 employee_residence 5000 non-null str \n", + " 7 experience_level 4500 non-null str \n", + " 8 employment_type 5000 non-null str \n", + " 9 work_setting 5000 non-null str \n", + " 10 company_location 5000 non-null str \n", + " 11 company_size 4500 non-null str \n", + "dtypes: int64(3), str(9)\n", + "memory usage: 468.9 KB\n", + "None\n", + "\n", + " Очистительная статистика:\n", + " work_year salary salary_in_usd\n", + "count 5000.00000 5000.000000 5000.000000\n", + "mean 2020.97680 102046.307200 114076.995800\n", + "std 0.81951 70853.626492 49113.807687\n", + "min 2020.00000 -198754.000000 30016.000000\n", + "25% 2020.00000 64295.500000 71343.750000\n", + "50% 2021.00000 110636.000000 114167.000000\n", + "75% 2022.00000 153104.750000 156665.750000\n", + "max 2022.00000 199924.000000 199985.000000\n", + "\n", + " Обработка строк\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "Обработка данных: 0%| | 0/5000 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "from tqdm import tqdm\n", + "import time\n", + "file_path = \"data_science_job.csv\"\n", + "df = pd.read_csv(file_path)\n", + "print(\"\\n Первые 5 строк:\")\n", + "print(df.head())\n", + "print(\"\\n Информация о данных:\")\n", + "print(df.info())\n", + "print(\"\\n Очистительная статистика:\")\n", + "print(df.describe())\n", + "print(\"\\n Обработка строк\")\n", + "for index, row in tqdm(df.iterrows(), total=df.shape[0], desc=\"Обработка данных\", mininterval=3.0):\n", + " time.sleep(0.001) # Имитация вычислений\n", + "# Построение графиков\n", + "sns.set_style(\"whitegrid\")\n", + "# График 1: Гистограмма распределения зарплат в USD\n", + "plt.figure(figsize=(8, 4))\n", + "sns.histplot(df[\"salary_in_usd\"], bins=30, kde=True, color=\"royalblue\", alpha=0.7)\n", + "plt.title(\"Распределение зарплат (в USD)\", fontsize=14)\n", + "plt.xlabel(\"Зарплата (USD)\", fontsize=12)\n", + "plt.ylabel(\"Частота\", fontsize=12)\n", + "plt.grid(axis=\"y\", linestyle=\"-\", alpha=0.7)\n", + "plt.show()\n", + "# График 2: Scatterplot - зависимость зарплаты от года (work_year)\n", + "plt.figure(figsize=(8, 4))\n", + "sns.scatterplot(x=\"work_year\", y=\"salary_in_usd\", hue=\"experience_level\", data=df, palette=\"viridis\", alpha=0.6, s=30)\n", + "plt.title(\"Зависимость зарплаты от года (с разбивкой по опыту)\", fontsize=14)\n", + "plt.xlabel(\"Год\", fontsize=12)\n", + "plt.ylabel(\"Зарплата (USD)\", fontsize=12)\n", + "plt.legend(title=\"Уровень опыта\", bbox_to_anchor=(1.05, 1))\n", + "plt.grid(axis=\"both\", linestyle=\"-\", alpha=0.3)\n", + "plt.show()\n", + "# График 3: Boxplot - зарплаты по уровням опыта (experience_level)\n", + "plt.figure(figsize=(8, 4))\n", + "sns.boxplot(x=\"experience_level\", y=\"salary_in_usd\", data=df,)\n", + "plt.title(\"Распределение зарплат по уровням опыта\", fontsize=14)\n", + "plt.xlabel(\"Уровень опыта\", fontsize=12)\n", + "plt.ylabel(\"Зарплата (USD)\", fontsize=12)\n", + "plt.grid(axis=\"y\", linestyle=\"-\", alpha=0.7)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff955f10-9ffb-488c-bee7-ada30fc97619", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}