Data Scientist, Monetization (Technical Leadership)
This job is no longer available
There are still lots of open positions. Let's find the one that's right for you.
About The Position
As a Data Scientist in our Monetization organization, you will work closely with a diverse group of cross-functional partners to solve complex product and technical problems. Our advertising tools and interfaces are the primary means by which businesses interact with Meta, and they play a critical role in managing the majority of Meta's revenue. Our Monetization Org's mission is to facilitate meaningful connections between people and businesses. We achieve this through our delivery products, ads optimization products, signals, ads ranking, ads infrastructure, and generative AI work, which touch all advertisers and all ads across all of Meta's apps, including Facebook, Instagram, WhatsApp, Messenger, and more. We are seeking a seasoned leader who can navigate the technical complexity of the space while also managing and supporting a broad and diverse range of stakeholders. The ideal candidate will have a proven track record of working closely with Engineering and Product leads, and a strong technical/statistical background. You will use data and analysis to identify and solve product development's biggest challenges, influence product strategy and investment decisions with data, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. In this role, you will utilize data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. You will guide teams using data and insights, focusing on developing hypotheses and employing a diverse toolkit of rigorous analytical approaches, methodologies, frameworks, and technical approaches to test them. You won't simply present data; you will tell data-driven stories, convincing and influencing your partners using clear insights and recommendations. You will build credibility through structure and clarity, becoming a trusted strategic partner.
