Lead Data Scientist - Sany, India - YO HR CONSULTANCY

Description

• 5 years ofprofessional work experience in Statistics Data Science and/orrelated disciplines with focus on delivering analytics softwaresolutions in a production environment
• Expertisewith relational and distributed database systems with expertise intools such as Spark Presto and other SQLbased queryingengines
• Expertise in coding and testing ofanalytical modules using Python SQL andSpark.
• Expertise in at least one statisticalsoftware or machine learning package such as R orScikitlearn
• Expertise with optimizationtechniques and tools such as AIMMS Gurobietc
• Expertise with DevOps tools and CI/CDworkflows including Git
• Expertise withsophisticated data mining forecasting & modeling solutionsand the tools that support them such as Scikitlearn PyTorch andPyMC3
• Wellorganized clear communication and anability to handle multiple competing priorities in a fastpacedenvironment
• Graduate/Post Graduate degree inStatistics Economics Applied Mathematics Computer ScienceEngineering or other Quantitative field ofstudy
• Exceptional problem solving skills.Abilities to solve problems independently and within acrossfunctional team to resolve any hurdles in theprojects
• Critical thinking skills to evaluateresults in order to make timelydecisions
• Mentor and provide guidance to otherdata scientists
• (Preferable) Experience workingin cloudbased environments such as Azure AWS orGCP
• (Preferable) Experience with ETL frameworkslike Airflow
• (Preferable) Domain expertise insurvey sampling and/or audiencemeasurement

• Research designdevelop implement and test econometric statistical optimization andmachine learning models.
• Design write and testmodules for analytics platforms using Python R SQL and/orSpark.
• Utilize advancedcomputational/statistics libraries including Spark MLlibScikitlearn SciPy StatsModels or R.
• Collaboratewith cross functional Data Science Product and Technology teams tointegrate best practices from across theorganization
• Provide leadership and guidancefor the team in the of adoption of new tools and technologies toimprove our core capabilities
• Execute andrefine the roadmap to upgrade the modeling/forecasting/controlfunctions of the team to improve upon the core service KPIs
• Gain a deep understanding of the Audiomethodology supported by the team
• Ensureproduct quality stability and scalability by facilitating codereviews and driving best
• practices like modularcode unit tests and incorporating CI/CDworkflows
• Explain complex data science (e.g.modelrelated) concepts in simple terms to nontechnical internal andexternalaudiences

datascience,tableau,analytics,aimms,leadership,git,machinelearning,spark,ci/cd workflows,sql,gurobi,devops,codereview,communication,problemsolving,pyspark,scikit-learn,python,econometricmodeling,pymc3,technology integration,cloud,machine learningmodeling,statistical modeling,optimization,statistics,datamining,data engineering,strategicthinking,data,r,pytorch,aws,computerscience,forecasting