Reality Labs Analytics - Developer Pro Platform, Data Science Manager

As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. In this role, as a Data Science Manager for Developer Pro Platform in Reality Labs, you will lead a team of ~20 data scientists to produce insights and data assets that guide our developer, use case strategy and investments, and identify ways to further the impact developers have on the Quest ecosystem. RL Developer/Builder Data Science works closely with our Product and Content organizations to foster an ecosystem of developers from many backgrounds crating gaming, media, productivity, and social use cases. This team will enable our platform to empower developers with instructive onboarding, differentiated AI-powered tooling and services to ensure their success. This will in turn fill Mixed Reality and the Metaverse with content that our users love. The team is rapidly growing in a unique function at Meta. You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. About the role: Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution. Analytics: You will guide product 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 leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.