Senior Data Scientist, Corporate Decision Sciences

Job Description

Responsibilities
Senior Data Scientist, Corporate Decision Sciences

The Corporate Decision Sciences group at NBCUniversal helps drive advanced analytics by building and integrating pragmatic data science principles and products throughout the Company. The Group 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.

The Senior Data Scientist will be part of a team of Data Scientists that focus on the design and execution of advanced data exploration, data mining, inference and prediction multiple traditional and non-traditional media measurement data sets. The Senior Data Scientist will work closely with internal clients, Data Scientists, Data Engineers, and IT across all NBCUniversal businesses. The position reports to a Senior Director of Data Science.

Responsibilities
• Provide methodological leadership within a team of Data Scientists and Data Engineers in the development of new methods and/or the application of advanced methods for prediction and inference
• Contribute to the development and delivery of high-impact tools and insights comprised of aggregated data sets and advanced algorithms with a clean user experience
• Think critically about data and the appropriate pairings of uses cases and data
• Manage multiple priorities across a mix of ad-hoc and operational projects
• Translate complex problems and solutions to all levels of the organization

Qualifications/Requirements
Required Qualifications
• PhD in Statistics strongly preferred; other Advanced Degrees in equivalent quantitative fields (i.e. Computer Science, Data Science, Economics, Mathematics, Operations Research, etc) will also be considered
• Deep theoretical knowledge of statistical science, and experience applying advanced methods for inference and prediction
• 4+ years of experience in Data Science, advanced analytics or similar experience in academia applying statistical methods and machine learning techniques with high levels of proficiency
• 2+ years of experience with time-series forecasting methods and applications
• 2+ years of experience with data visualization techniques and concepts
• 1+ years of experience using relational databases and SQL

Desired Characteristics

Desired Qualifications
• Expert knowledge of R and Python, additional languages (i.e., Julia, Java, Scala) a plus
• Knowledge and experience with Bayesian statistics and applications
• Experience using cluster computing environments and Spark, Hive and/or Hadoop a bonus
• Team-oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools
• Experience with television ratings and digital measurement tools (Nielsen, Rentrak, comScore, Omniture, etc.)

Jobcode: Reference SBJ-rjzp3w-3-138-141-202-42 in your application.