M+E Technology Job Board

Data Scientist

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he Management Science team helps drive “the art of the possible” for advanced analytics at NBCUniversal by building and integrating pragmatic data science principles and products throughout the Company. The Team focuses primarily on decision science analyses to support and inform strategy and key business decisions and building advanced data products to help enable more data-enhanced decision support.

Job Duties

  • Be part of a team of Data Scientists that focus on the design and execution of advanced analytical data exploration, mining, inference, models and systems utilizing multiple traditional and non-traditional media measurement data sets
  • Develop and deliver high-impact tools and insights comprised of aggregated data sets and advanced algorithms with a clean user experience
  • Drive the collection and manipulation of new data and the refinement of existing data sources
  • Manage multiple priorities across a mix of ad-hoc and operational projects
  • Translate complex problems and solutions to all levels of the organization


  • 3+ years of experience in an advanced analytics or consulting role or similar experience in academia
  • Advanced Degree (Master’s or Ph.D.) with a specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or other quantitative field or equivalent
  • Experience and demonstrated proficiency in statistical methods (i.e., parametric and non-parametric regression, time-series, panel data analysis, survival analysis, etc.) and machine learning techniques (i.e., methods of supervised and unsupervised learning such as clustering, regression, classification, ensemble methods, etc.)
  • A strong understanding of the differences between inferential and predictive models and experience applying methods in both areas
  • Working knowledge of multiple analytics and programming languages such as R, Python, SAS, Julia, Java, Scala or similar
  • Familiarity with relational databases and SQL
  • Experience with data visualization techniques and concepts
  • Team-oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools