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 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.IG Business(IGB) is the revenue engine for Instagram, and has contributed the lion's share of the company's revenue growth over the past few years.Within IGB, we are the Business Recommendations pillar that connect people with business love via personalized experience and recommendations that inspire trust and confidence. This team owns IG's backend ads stack and has delivered over 5% iRev from ranking, delivery, supply and quality innovations in 2023.About the role:We are hiring for a manager to lead the ads supply & quality space. The team is responsible for managing the quantity and quality of ads in ads auction, and is tasked to solve the highest priority and challenging problem in the ads space today - How can our ads business move away from optimizing for short term revenue to directly optimizing long term value.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.

• Drive analytics projects end-to-end in partnership with teams from Engineering, Product Management and across the Analytics community to inform, influence, support, and execute product strategy and investment decisions
• Inspire, lead, and grow a team of data scientists and manager(s) to fulfill our longer term vision.
• Actively influences the design of the strategy and shaping of the roadmap within this scope. Generate and use team insights to set and prioritize longer term goals.
• Develop understanding of complex distributed systems and sub-components, as well as broader industry challenges, to identify present and future risks and opportunities.
• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Grow analytics expertise around you, upskilling your team, engineers, and others, to increase overall team impact.

• Experience communicating both in low-level technical details as well as high-level strategies.
• A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including a minimum of 2 years of experience managing analytics teams.
• 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.
• 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers.
• Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering.
• Track-record driving product roadmap and execution.
• A minimum of 2 years of experience working on consumer facing products.

• Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
• Proven track record of leading high-performing analytics teams.
• 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space.