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Data Scientist

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  • Marketing & PR
  • Arts & Entertainment
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Job Details

ResponsibilitiesAd server optimization, behavioral profiling and performance algorithm development.Enable large video advertisers to run extremely efficient marketing campaigns that exceed aggressive ROI goals with precision and efficiency.Implement ad targeting models that use advanced statistical and machine learning techniquesAnalyze, design and implement targeted relevance algorithms.Develop and implement algorithms that work with large scale data to forecast and optimize return on online advertising spend.Collaborate with product management and engineering to explore tradeoffs of performance and accuracy with alternate statistical approaches.Typical Work DayMeasure and understand what our audience looks like and wantsUse these measurements to target audience segments at scaleOptimize YuMe operationsDerive and define key metrics to analyze and optimize business based on strategic goalsHow we get things doneWork closely with PM Team to understand & analyze requirementsHelp create design documentation & review the same with the teamCollaborate with teams across geographies to finalize design documentsHelp create low level design & test case for the module/featureHelp write code & work with version management toolsOwn a feature/module & take it till go liveShould help write & execute unit test casesShould help write & execute functional, integration test casesShould help contribute in code review & improve guideline documentsShould help analyze & fix issues found post developmentActively contribute in supporting product on need basisParticipate in design review of other featuresWork with solutions engineering teams to streamline the go-live process of new releases.Ability to design and develop complex algorithms, mathematical constructs and code.Experience with behavioral targeting, online advertising/marketing, and/or user segmentation.Proven track record in independently developing complex machine learning based systems, utilizing multiple machine learning frameworks and techniques for optimal accuracy and performance.Must have solid understanding of statistical modeling/machine learning/ data mining/ recommender systems concepts.Demonstrated ability to deal with very large datasets.Strong knowledge of data structure, modeling, replication and distributed data/object relational database mapping.Strong analytical quantitative and problem solving abilityExperience with architecting, building and deploying reliable algorithms-based ad optimization systems that work at scale is a plus.Experience with R, relational databases (MySQL preferred) and Unix/Linux experience are required.A solid understanding of Hadoop, Hive and Map/Reduce programming is desirable.Hands on experience working with Java or C++ is preferred
Degree: MCA/ PGDCA | Ph.D. (Doctorate)

Additional Degree: BE/ B.Tech (Engineering)

Experience: 7-12


Data Warehousing | Database Administration (DBA)
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