Vice President, Recommendation Science, Peacock, Decision Sciences

NBCUniversal, New York, New York

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Level: Manager (Supervisor)

As part of the Peacock Decision Sciences team, the VP Recommendation Science, will provide strategic leadership to a team of data scientists in the design and execution of advanced analytical solutions using advanced data science methodologies including collaborative filtering, deep learning, reinforcement learning, on-line modeling etc. and lead collaboration with business owners and engineering team to build a state-of-the-art real-time video streaming service.


  • Build and strategically lead a high-performance team of data scientists.
  • Lead the team in the development of a recommendation system modeling and experimentation framework.
  • Work with business stakeholders to define priorities, approaches and business requirements for the analytical solutions.
  • Manage multiple priorities across business verticals and machine learning lifecycle projects.
  • Lead work with engineering teams to define data science driven requirement and solutions for major initiatives and opportunities of the streaming service functionality.
  • Drive innovation of the statistical and machine learning methodologies and tools used by the team. Lead improvements in machine learning lifecycle infrastructure.
  • Drive a data science culture that inspires and motivates the team to succeed.

•Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
• Minimum 12 years of combined experience in advanced analytics in industry or research.
• Minimum 7 years of departmental and people leadership.
• Experience with commercial recommender systems or a lead role in an advanced research recommender system project.
• Working experience with deep learning, particularly in the areas different form the computer vision. Strong experience with deep learning using TensorFlow.
• Experience implementing scalable, distributed, and highly available systems using Google Could Platform.
• Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.
• Experience in data processing using SQL and PySpark.
• Good understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.

• Advanced experience in media analytics and application of data science to the content streaming and TV industry.
• Good understanding of reinforcement learning algorithms.
• Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.).
• Experience with television ratings and digital measurement tools (Nielsen, Rentrak, ComScore etc.).
• Experience with large-scale video assets.
• Ability to build trust across the organization and socialize solutions and identified data insights.
• Proficiency in Python. Java or Scala is a plus.

NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service.

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