VP, Recommendation Science, Media Group Decision Sciences

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 unequalled 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. Are you ready to go beyond classic predictive analytics to new areas like deep learning and reinforcement learning? Do you want to be a part of the team that builds an advanced recommender engine, active learning platform, personalized solutions for product, marketing, and advertisement? Join the world-class international team of smart, hungry, and fearless professionals who are working at the cutting edge of technology and science at the epicenter of content, technology, and culture. As part of the Media Group Data Science team, the VP, Recommendation Science will be a strategic partner in collaboration with Product and Technology to deliver industry-defining personalization. They will provide leadership and mentorship for a team of data scientists in the design and execution of advanced personalization models and heuristics, including but not limited to, content recommendations, product experience personalization, GenAI-based image and text personalization, and personalized ad services. They will further provide guidance and support for cross-functional team of architects, analysts, ML Engineers, and software developers as they integrate personalized data products and capabilities across our suite of global and domestic products. This is a dynamic cohort of high-caliber, opinionated leaders across Product, Technology, Marketing, and Content Discovery committed to building a state-of-the-art real-time video streaming service Responsibilities include, but are not limited to: Build and strategically lead a high-performance team of data scientists in an experimentation-led environment. Lead the data science team in the development of a recommendation system modeling and experimentation framework. Work with business stakeholders to define priorities, best approaches and business requirements for analytical and experimentation solutions. 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.