Job Description
At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. 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 Senior Analytics Engineer to lead the development and optimization of programmatic signals analytics for Netflix ’s global Ads business. In this highly impactful role, you will build the foundational metrics, dashboards, and analysis frameworks that drive how we measure, understand, and enhance DSP adoption, audience targeting, and ROI across our programmatic ecosystem. You will collaborate closely with product, engineering, finance, and ad operations teams to inform business-critical decisions around signal strategy, inventory quality, and fraud prevention. As a subject matter expert, you will play a pivotal role in shaping the analytics vision for programmatic advertising—empowering Netflix to optimize ad delivery, maximize revenue, and ensure transparency and trust with our partners and members worldwide. Your insights and technical leadership will directly influence the future of data-driven advertising at Netflix . In this role, you will: Drive the analytics strategy for programmatic signals across Netflix Ads, designing and implementing frameworks to measure, optimize, and report on DSP adoption, audience targeting e
