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Manager, Product Experimentation

Manager, Product Experimentation

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 editorial decisions. The Manager, Product Experimentation will be the go-to person for our international experimentation footprint.

Data Product Manager, Product Analytics, Global Streaming

Data Product Manager, Product Analytics, Global Streaming

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.

Platforms & Social Editor

Platforms & Social Editor

NBC News Digital is looking for an editor to join its platforms team in London. The editor will curate NBCNews.com's owned and social platforms, including the homepage and app, write breaking news alerts for the app and email, and distribute stories across social accounts. The editor will handle stories from all newsroom sections including breaking news, world, politics, business, sports, and lifestyle, with a focus on strategizing distribution and enhancing engagement of our stories.

Lead, Data Scientist (Deep Learning), Peacock Video Streaming Service

Lead, Data Scientist (Deep Learning), Peacock Video Streaming Service

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.