Lead Data Scientist

1 week ago

Bengaluru, Karnataka, India The Nielsen Company Full time
At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey.

By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed.

We champion you because when you succeed, we do too.

Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve.

We enable your best to power our future.

Job title:
Principal Data Scientist - Statistical Expertise

Job Purpose:


We research and develop causal inference model that measures accurately and precisely the causaleffects of advertising, promotion, distribution, assortment, and other factors to inform clients of thehistorical effectiveness of their marketing tactics and exogenous factors on outcomes.

To improve theoperational efficiency of causal inference solutions, we develop automated and scalable supervisedand unsupervised learning methods that yield accurate outcome predictions and labeling.

Key Responsibilities


Research, design, develop, implement, and test econometric, statistical, causal inference, andmachine learning models.- Create various prototypes for research and development purposes.- Design, write and test modules for Nielsen analytics platforms using Python, SQL, Spark, andAWS products.- Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy,StatsModel, SAS and R- Document and present econometric, statistical, and causal inference methods to withincompany associates.- Work with Product on setting the direction for new analytics research and productdevelopment for engaged track(s).- Partner with Product organization on resolving issues that users face.- Provide guidance to junior data scientists.

Key Skills


PhD level coursework in Statistics, Econometrics, Applied Mathematics, Biostatistics,Chemometrics, Computer Science subfield of Machine Learning, Industrial Engineering,Operations Research, Psychometrics, Physics, or other discipline that is concerned withdeveloping and studying methods for collecting, analyzing, interpreting and presentingempirical data.- Expertise in coding and testing of analytical modules using Python, SQL, Spark, and AWS.- Expertise in at least one statistical software or machine learning package, such as Scikit-learnand StatsModels.- Experience with Git or other version control tools.- Well-organized and capable of handling multiple mission-critical projects simultaneously whilemeeting deadlines.- Excellent oral and written communication skills- Systematic thinking skills to predict edge cases and identify risks during code development.- Critical thinking skills to evaluate results in order to make decisions.- Abilities to solve problems independently and within a team.- Work with cross-functional team to resolve any hurdles in the projects.- Experience managing or mentoring data scientists.

Requirements


Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science,Engineering, or other Quantitative Field of Study.- 7+ years of work experience in delivering analytics software solutions in a productionenvironment.- 7+ years of work experience in quantitative marketing analysis, with an emphasis onstatistical, econometric and predictive analytic research that drives analytic product Innovationand implementation.

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