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    Nielsen - Senior Data Scientist - Statistical Experience - Bengaluru/ Bangalore, India - timesjobs

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    Full time
    Description
    Senior Data Scientist - Statistical Experience

    Location:
    Bangalore, India


    Technology:
    Data Science


    Employment Type:
    Full Time


    Work Arrangement:
    Hybrid

    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 Purpose

    Develops, implements, and tests econometric, statistical, causal inference, and machine learning models using modern analytic programming languages and a proficient theoretical understanding of marketing, pricing, and advertising.

    Partners with Product organization on resolving data issues so we may implement proper methods. Interviews candidates for open positions. Provides guidance to newly hired associates.
    Key Responsibilities

    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, R, SQL, Spark, and AWS products
    Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, StatsModels, SAS, and R
    Partner with the Nielsen Technology department to build best-of-class cloud-based analytical solutions
    Document methodology
    Partners with Product organization on resolving data issues
    Interviews candidates
    Provides guidance to associates

    Key Skills

    PhD level coursework in Applied Mathematics, Biostatistics, Chemometrics, Computer Science subfield of Machine Learning, Econometrics, Industrial Engineering, Operations Research, Psychometrics, Physics, Statistics, 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 R, SAS, or Scikit-learn
    Experience with Git or other version control tools
    Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines
    Exceptional problem-solving skills
    Excellent oral and written communication skills
    Critical thinking skills to evaluate results in order to make decisions
    Abilities to solve problems independently and within a team

    Requirements

    Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study
    2 years work experience in delivering analytics software solutions in a production environment
    2 years 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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