**Summary:** 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.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 wide-range 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.The Generative AI product group was formed to consolidate the Generative AI work at Meta with the vision of bringing generative AI experiences to billions of users on our platform. Since then, the team has been working towards building and integrating these experiences across our family of apps and devices.You will lead a team of Data Scientists who are responsible for driving strategy, data acquisition, quality and evaluation for the open source models we build. This is at the very forefront of what is possible in AI today, so you will be building the instrumentation for the plane while flying it.You will drive actionable recommendations and key technical decisions with Meta’s researchers and leadership. **Required Skills:** Data Science Manager, GenAI Responsibilities: 1. We're aiming to be the most powerful and useful open-source frontier AI model while maintaining a high bar for safety. 2. Identify and size new opportunities to integrate GenAI technology into our existing product offerings and perhaps even define new ones. 3. Clarify how our language and image/video models are performing. Define key metrics for measuring model effectiveness. 4. Drive insight to action by identifying focus areas and opportunities to accelerate model performance, and directly influencing decision-making with Meta’s leadership. **Minimum Qualifications:** Minimum Qualifications: 5. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience 6. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including 2+ years of experience managing analytics teams 7. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers 8. A minimum of 2 years of experience working on consumer facing products 9. Experience communicating both in low-level technical details as well as high-level strategies 10. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering **Preferred Qualifications:** Preferred Qualifications: 11. Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field. 12. Proven track record of leading high-performing analytics teams. 13. 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.