Meta is looking to hire a Data Science Manager to shape the future of experiences for billions of people and hundreds of millions of businesses worldwide by leveraging one of the largest data sets globally. The role aims to drive impact through quality, efficiency, and velocity by collaborating with cross-functional partners and guiding product teams with data-driven insights to understand product and business ecosystems, quantify opportunities, identify challenges, and shape product development.
Requirements
- 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space
- Understanding of statistical analysis
- Experience with large data sets
- Experience communicating both in low-level technical details as well as high-level strategies
- Track-record driving product roadmap and execution
- Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
- 2+ years of experience managing analytics teams
Responsibilities
- Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
- Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
- Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
- Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
- Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
- Apply leadership, project management, analytical, technical, creative, and product intuition skills
- Develop hypotheses, and employ rigorous analytical approaches to test them
Other
- Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
- Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
- Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
- Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
- 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
- Proven track record of leading high-performing analytics teams
- Leadership Skills: Demonstrated experience leading and developing teams. Communication and interpersonal experience
