Senior Data Scientist - Mumbai, India - SAM Manpower and Career Services LLP

Description

SkillsRequired:This positionrequires a detailoriented person who has experience in big dataanalysis using multiple data sources and statistical research andwho enjoys working in a fastpaced environment. Ability toproblemsolve work independently on critical initiatives and see thebig picture are keys to success in thisposition. Master s in statisticsquantitative social sciences economics operations research or hardsciences (e.g. engineering computer science biology physics etc.)
with outstanding analytical expertise and strong technicalleadership 35 years of work experiencefocusing on the following:

Creatingorganizing analyzing and correcting very large datasetsusingstatisticalmodels Coding in data sciencerelatedprogramming languages; requiredexperiencewith Python (numpy pandas scikit learn etc.)Proficiency in SQL & big datatechnologies.

Leading and managing complexprojects with multiple stakeholdersExcellent communication & presentation skills (writtenand verbal) Experience in media or marketinganalytics e.g. lookalike modeling insights analysis customersegmentation Ability to work independentlyand solve complex problems Naturally curioushas a passion for solving problems and criticalthinking Good vibes integrity and good workethic

SkillsDesired: Experience withonline media and the ad tech ecosystemExperience working with global crossfunctional teams of varioussizes Experience with machine learningtechniques Experience working withcloudbased computing and storage solutions preferablyAWS Working knowledge of Bash andGit Experience with other tools common tothe data science world such as Airflow Spark MLlib MLflowTensorflow and PyTorch Experience with datavisualization tools (e.g.
Superset)

KeyResponsibilities Buildevaluate and maintain propensity models atscale Write productionlevel code thatintegrates seamlessly into already productized model buildingpipeline Develop and implement new machinelearning techniques to improve performance of client facing modelsin production Automate model surveillanceand maintenance in order to streamline modelingsystem Research and develop new use casesfor NMC data assets Support the business andclient teams by investigating complex analyticalchallenges Stay up to date on industrychanges to digital measurement (e.g. new devices and platformsprivacy laws updates changes in browser/app measurement etc.) andcritically assess how it would impact Nielsenmeasurement. Engage in discussions onstrategic direction of product from a clientperspective. Stay informed of new researchand developments in the field Confidentlyrepresent Data Science methods and approaches to internal andexternal partners and clients. Participatein internal and external knowledge exchanges (conferencesworkshopwebinars).
marketing analytics,mediaanalytics,python,machine learning,cloud computing,nielsenmeasurement,big data analysis,numpy,nmc data assets,datavisualization,strategic direction,problem-solving,onlinemedia,bash,pandas,knowledge exchange,propensity models,machinelearning techniques,statistical research,bigdata,git,leadership,sql,model surveillance,communication,datascience