Data Scientist, Monetization (Technical Leadership)

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 Orgs 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. More about the role: Product leadership: You will use data to shape 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. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.