Senior Manager of Data Science (Recommendation Science)

Job Description
Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal, and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequaled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth, and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive. 
The Senior Manager of Data Science is responsible for leading a team of data scientists in developing and implementing innovative data science solutions to both drive retention and improve the user experience. The ideal candidate will have a track record of success in leading and managing data science teams, as well as a wealth of knowledge on the latest data science techniques and algorithms.
In this role, the primary focus is on recommender systems, so the candidate must be able to leverage machine learning techniques such as collaborative filtering, deep learning, reinforcement learning as well as Natural Language Processing techniques important in dealing with content metadata.
Responsibilities:
Lead a team of data scientists in developing and implementing data science solutions to improve the user experience and drive user retention.
Work with product managers and engineers to identify and prioritize data science projects.
Maintain and enhance upon existing models and data offerings, including:Graph-based content recommenders
Embeddings for content metadata and user behavior
Reinforcement learning for online models
Content cold start solutions
Time-series and trend-based rails
Cultivate an environment that seeks to increase knowledge and empower collaboration across many domains within data science as well as withing our product and engineering teams.
Work with data engineers to ensure that data is properly prepared and available for use by data scientists.
Monitor the performance of data science models and make adjustments as needed.
Stay up-to-date on the latest data science techniques and algorithms.
Present findings to stakeholders and communicate the value of data science to the business.