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Bengaluru

    Principal Data Scientist - Bengaluru, India - Randstad India

    Randstad India
    Randstad India Bengaluru, India

    1 day ago

    Default job background
    Technology / Internet
    Description

    Job title

    Principal Data Scientist - Statistical Expertise

    Job Purpose

    We research and develop causal inference model that measures accurately and precisely the causal

    effects of advertising, promotion, distribution, assortment, and other factors to inform clients of the

    historical effectiveness of their marketing tactics and exogenous factors on outcomes. To improve the

    operational efficiency of causal inference solutions, we develop automated and scalable supervised

    and unsupervised learning methods that yield accurate outcome predictions and labeling.

    Key Responsibilities

    Research, design, develop, implement, and test econometric, statistical, causal inference, and

    machine learning models.

    Create various prototypes for research and development purposes.

    Design, write and test modules for Nielsen analytics platforms using Python, SQL, Spark, and

    AWS 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 within

    company associates.

    Work with Product on setting the direction for new analytics research and product

    development 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 with

    developing and studying methods for collecting, analyzing, interpreting and presenting

    empirical 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-learn

    and StatsModels.

    Experience with Git or other version control tools.

    Well-organized and capable of handling multiple mission-critical projects simultaneously while

    meeting 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 production

    environment.

    7+ years of work experience in quantitative marketing analysis, with an emphasis on

    statistical, econometric and predictive analytic research that drives analytic product Innovation

    and implementation.

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