• Sr. Data Scientist, Audience Science

    Job Locations US-NY-New York
    Brand
    Viacom
    iCIMS ID
    2018-9043
  • Overview and Responsibilities

    The Senior Data Science Engineer, Advanced Media Analytics will be responsible for the build-out of new/alternate audience platforms across Viacom Media Networks. In this role, the individual will be the lead contributor for innovation in audience measurement, and for discovering how VMN content is being consumed across platforms.

     

    • Identify, ingest, and enrich a wide range of structured and unstructured data into datasets for analysis
    • Apply statistical and advanced techniques (e.g. segmentation, machine learning) to develop both prototypes and scalable (i.e. efficient, automated) data analyses
    • Conduct ad hoc analysis, building models, forecasting viewing behavior
    • Extensive code development, debugging, optimizing, and productionizing
    • Lead the development of machine learning pipeline architecture
    • Establish frameworks for quickly rolling out new data analysis for standalone data-driven products and services to support our network of media brands.
    • Have end-to-end responsibility for leading projects focused on extracting, merging, analyzing and managing large sets of data across multiple, disparate databases
    • Be able to transform unstructured raw data in to formats suitable for modeling
    • Demonstrate a deep knowledge of, and ability to operationalize, leading data technologies and best practices
    • Be able to work in teams and collaborate with stakeholders to define requirements
    • Make decisions independently on analytical problems and methods

    Basic Qualifications

    • Bachelor’s or Master’s degree in a quantitative field
    • Expert knowledge of Python and familiar with R
    • Expert in SQL - building scalable data models and performing complex relational database queries
    • Familiar with AWS services (S3, Redshift, EC2, Lambda, Lex, Polly)
    • Deep knowledge of algorithms for data mining, machine learning, and/or natural language processing
    • Have a high level understanding of statistical procedures used in advanced analytics
    • Experience processing large amounts of structured and unstructured data using Spark, Hive or other Big Data technologies
    • Experience with D3.js or other dynamic data visualization libraries

    Additional Qualifications

    • Stay abreast of new developments in machine learning in order to develop algorithmic/modeling approaches
    • Attention to detail and demonstrated ability to detect and resolve data/analytics quality issues
    • Outstanding verbal and written communication skills

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