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1、2016DataScienceSalarySurveyTools,Trends,WhatPays(andWhatDoesn’t)forDataProfessionalsJohnKing&RogerMagoulasMakeDataWorkstrataconf.comPresentedbyO’ReillyandCloudera,Strata+HadoopWorldhelpsyouputbigdata,cutting-edgedatascience,andnewbusinessfundamentalstowork.Learnnewbusinessapplicationsofdatatec
2、hnologiesDevelopnewskillsthroughtrainingsandin-depthtutorialsConnectwithaninternationalcommunityofthousandswhoworkwithdataJob#D2044BeijingSanJoseLondonNewYorkSingapore2016DataScienceSalarySurveyTools,Trends,WhatPays(andWhatDoesn’t)forDataProfessionalsJohnKing&RogerMagoulas2016DataScienceSalary
3、Survey.....................1ExecutiveSummary...............................1Introduction...................................2FactorsthatInfluenceSalary:TheRegressionModel...........5HowYouSpendYourTime.........................16TheImpactofToolChoice..........................22TheRelationshipBet
4、weenToolsandTasks:ClusteringRespondents.31WrappingUp:WhattoConsiderNext...................37AppendixA:FullClusterProfiles......................38AppendixB:TheRegressionModel....................422016DATASCIENCESALARYSURVEYTableofContentsVOVER900RESPONDENTSFROMAVARIETYOFINDUSTRIESCOMPLETEDTHESU
5、RVEY2016DATASCIENCESALARYSURVEYTHERESEARCHISBASEDONDATAcollectedthroughanonline64-questionsurvey,includingdemographicinformation,timespentonspecificdata-relatedtasks,andtheuse/non-useofabroadrangeofsoftwaretools.2016DATASCIENCESALARYSURVEYINTHISFOURTHEDITIONoftheO’ReillyDataScienceSalarySurvey
6、,we’veanalyzedinputfrom983respondentsworkinginthedataspace,acrossavarietyofindustries—representing45countriesand45USstates.Throughtheresultsofour64-questionsurvey,we’veexploredwhichtoolsdatascientists,analysts,andengineersuse,whichtaskstheyengagein,andofcourse—howmuchtheymake.Keyfindingsinclud
7、e:PythonandSparkareamongthetoolsthatcontributemosttosalary.Amongthosewhocode,thehighestearnersaretheoneswhocodethemost.SQL,Excel,RandPythonarethemostcommonlyusedtools.Thosewhoattendmoremeetings,earnmore.Womenmakelessthanmen,fordoingthes
