As part of the Product Analytics & Experimentation team, we support a data driven and results focused product organization. The ideal candidate thrives at the intersection of product analytics, data science, product development and business understanding. The candidate will have strong technical, analytical and product background. Responsibilities Partner with the Senior Manager of Product Analytics to optimize acquisition product experiences, providing a data-driven, objective perspective that aligns cross-functional teams on performance against key goals.

If you think all the fun only happens in summer, think again! As an NBCUniversal Academic Year intern, you’ll get immersed in exciting work, experience our unique NBCU culture, and feel the real support and guidance for 2 whole semesters. The NBCUniversal Internship Program allows students to unlock their potential by contributing to big projects in meaningful ways that matter. To thrive as an NBCU intern, you are ready to bring your passion for media, entertainment, and technology along with your desire to learn each day.

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. 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.

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. 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.

As part of the Media Group Decision Sciences team, the Lead Data Scientist will be responsible for creating analytical solutions for one or more verticals of NBCU’s video streaming service including, but not limited to, the recommender system, automated marketing, personalized advertisement, commerce and revenue optimization systems, customer journey and CRM solutions. In this role, the Lead Data Scientist will use advanced data science methodologies including causal discovery analysis, reinforcement learning, machine learning models, Bayesian analysis etc.

We are seeking a Senior Analyst of experimentation to help support our A/B/N testing efforts across multiple Product teams (Viewing, Commerce, Personalization, and Editorial).

NBCUniversal is looking for a detail-oriented Data Product Manager As a member of the Decision Sciences team, you will champion a Data-as-a-Product mindset. Bringing in-depth data understanding to the team, you will play a key role in owning, managing and supporting the data across the underlying systems and technology stack. The data in focus will be driven from the product experience across growth, acquisition, engagement, ads and churn experiences.

As part of the Peacock Data Science team, the Lead Data Scientist will be responsible for creating recommendation and personalization solutions for one or more verticals of Peacock Video Streaming Service. Responsibilities include, but are not limited to: Work with a group of data scientists in the development of recommendation and personalization 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 organization.

As part of the Product Analytics & Experimentation team, we support a data driven and results focused product organization. The ideal candidate thrives at the intersection of product analytics, data science, product development and business understanding. The candidate will have strong technical, analytical and product background. Responsibilities Partner with Commerce Product teams to surface growth opportunities and formulate recommendations in service of improving new paid customer acquisition.