Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. In Nov 2022, we launched a new lower-priced, ad-supported tier for our customers. We are now continuing to build on our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix! The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations, and drive success on end-to-end analytics initiatives in this 0 -1 space. We are seeking a Staff Analytics Engineer to lead end-to-end analytics initiatives for the rapidly growing Live Events space at Netflix, including NFL, WWE, and other premium live content. This is a greenfield opportunity to build foundational metrics, drive reporting strategy, and shape the impact science behind one of the most exciting frontiers in entertainment. You will partner closely with cross-functional teams—product, engineering, data science, content, and ads—to define how we measure success, optimize viewer engagement, and guide strategic decisions. As a key leader in this space, you will be instrumental in building the future of Ads on Live, a critical and emerging area for Netflix. Your work will have a direct and lasting impact on how we launch, monetize, and scale live programming globally.