Lead Data Scientist - Recommender Systems

As part of the Peacock Data Science team, the Lead Data Scientist will be responsible for creating recommendation and personalisation solutions for one or more verticals of Peacock Video Streaming Service.

Collaborate with a global, cross-functional team of engineers, architects, product managers, and analysts to shape and advance Peacock’s personalisation models. You’ll drive the full lifecycle, from feature creation to model evaluation and deployment, while gaining the opportunity to innovate with cutting-edge machine learning foundation models and reinforcement learning techniques.

Responsibilities include, but are not limited to:

• Work with a group of data scientists in the development of recommendation and personalisation models using statistical, machine learning and data mining methodologies.
• Drive the collection and manipulation of new data and the refinement of existing data sources.
• Translate complex problems and solutions to all levels of the organisation.
• Collaborate with software and data architects in building real-time and automated batch implementations of data science solutions and integrating them into the streaming service architecture.
• Drive innovation of the statistical and machine learning methodologies and tools used by the team.