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    Nielsen - Principal Data Scientist Lead - Statistical Expertise - Bengaluru/ Bangalore, India - timesjobs

    timesjobs
    timesjobs Bengaluru/ Bangalore, India

    6 days ago

    Default job background
    Full time
    Description

    Job Title:
    Principal Data Scientist Lead - Statistical Expertise

    Location:
    Bangalore, India


    Employment Type:
    Full Time, Hybrid


    Technology:
    Data Science

    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

    Researches, designs, 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 and Technology organizations on resolving data and technology issues so we may implement proper methods. Engages with company associates outside of the department and client associates on GRAD econometric, statistical, and causal inference methods. Reviews candidates and hires new associates. Manages and mentors associates.

    Given a track record of data science successes, may work on data science research initiatives where the associate is the only employee, or leads several other data scientists or department associates, on the track.

    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, 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.
    Documents and presents econometric, statistical, and causal inference methods to within company and client associates.
    Partners with Product and Technology organizations on resolving data and technology issues.
    Reviews candidates and hires new associates. Manages and mentors associates.
    Lead team under purview.
    Work with Product on setting the direction for new analytics research and product development for select tracks.

    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.
    Work with a cross-functional team to resolve any hurdles in the projects.
    Manage and mentor data scientists.

    Requirements

    Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study
    10 years work experience in delivering analytics software solutions in a production environment
    10 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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