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.

NBCUniversal is seeking a Senior Analyst in the Data Platform Operations team. This team is dedicated to developing systems that enhance data interoperability between NBCUniversal and its key partners, including measurement vendors, advertisers, and agencies. This team drives the data solutions powering NBCU’s suite of measurement and optimization products, delivered through our cutting-edge data clean room platform. We are looking for a talented Senior Analyst with a strong blend of technical expertise, business acumen, and interpersonal skills.

Contribute to and help lead team in designing solutions, building, optimizing, testing, scaling, deploying and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements, into robust and secure Data Lakes & Data warehouses. Analyze various data sources and build Data Engineering pipelines for NBCU Entertainment networks including NBC, Bravo, Oxygen, SyFy, USA, E!, Universo and Telemundo.

Help manage a high-performance team of Data Engineers. Contribute to and help lead team in designing, building, testing, scaling and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements. Deliver observable, reliable and secure software, embracing “you build it you run it” mentality, and focus on automation and GitOps. Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies.

Process structured and unstructured data into a form suitable for analysis and reporting in analytics and machine learning environments. Leverage Databricks features to operationalize data science models and products in a cluster-computing environment to understand requirements and develop appropriate feature engineering to deliver high performing models. Enhance Feature Store current capability. Create a full machine Learning best practice for model management using MLflow, model assessment through experiment registration, model production promotion via Unity Catalog.

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.

NBCUniversal is looking for a detail-oriented senior analyst to support data access and compliance solutions across enterprise platforms. The Sr Data Access & Compliance Analyst will be responsible for contributing to the build and maintenance of a preventive data controls framework, as well as developing business solutions to support stakeholders in meeting policy requirements. These responsibilities apply across the entire data supply chain, including consumer data onboarding, data enrichment, data use and data transfer.

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.