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.

Data is part of the DNA at NBCUniversal, and the Experimentation team plays a large role in driving our data driven culture. We own the technology that enables experimentation and act as subject matter experts to help teams measure the performance of the features and campaigns that customers experience every day. Our work is high visibility as it directly informs product, advertisement, marketing, and merchandising decisions. The Sr.

As a Lead Data Scientist on the Media Group Decision Sciences team, you will play a critical role in developing data-driven insights and solutions that optimize audience engagement across the business. Reporting to the Director of Audience Science, the Lead Data Scientist will work closely with data scientists, business stakeholders, analysts, and engineers to design, build, and deploy scalable solutions, driving our audience prioritization, segmentation, and targeting strategies.

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.

What you'll do: Partner with Product teams to understand app performance and deliver recommendations to expand and engage with key audiences Prepare and lead presentations with cross-functional and executive stakeholders Work within large datasets to interpret trends and turn those into actionable recommendations Build and distribute actionable dashboards or reports to ensure data democratization and informed decision making Advise on hypotheses and A/B Test Design.

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.

Partner with Viewing Product teams to understand app performance and deliver recommendations to expand and engage with key audiences Understand how users navigate the app experience as they enter video playback Work within large datasets to interpret trends and turn those into sound recommendations Maintain, update, and distribute actionable dashboards or reports to ensure data democratization and informed decision making Partner with Data Engineering teams to identify and enhance data sources Prepare and inform material for senior level executive presentations Leverage data visualization t

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.

What you'll do: Partner with Viewing Product teams to understand strategic roadmaps and how metrics will influence their decisions Drive adoption of Databricks for self-serve analysis, enabling stakeholders to independently access and analyze key metrics. Democratize data access by developing tables and data sets to support efficient self-service exploration and analysis Work within large datasets to interpret trends and turn those into actionable recommendations Work with data engineering and analytic/data science partners to create opinionated datasets to unlock business insights.

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.