Senior / Lead Data Scientist

Job Description

Responsibilities
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/Lead 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/Lead 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
• BS or MS within a quantitative or technical field (i.e. Computer Science, Data Science, Economics, Mathematics, Operations Research, etc)
• 2+ years experience practically applying statistical methods or machine learning techniques in a professional environment. Must have experience using statistical and/or machine learning models for inference and prediction
• Demonstrated experience using relational databases and SQL within a professional setting
• Demonstrated experience working with external stakeholders from across the organization
• Experience with data visualization techniques and concepts

Desired Characteristics
• Advanced degree from a quantitative or technical program
• Expert knowledge of R and Python, additional languages (i.e., Java, Scala) a plus
• Experience using cluster computing environments and Spark, Hive and/or Hadoop a bonus
• Knowledge of analytics model operations and maintenance
• 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-rj8211-3-139-86-56-42 in your application.