As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally.
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
- Experience communicating both in low-level technical details as well as high-level strategies
- Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
- Experience supporting analytic platforms, working with cross company stakeholders, and prioritizing features based on multiple goals
- Ideally a background in experimentation and survey research
- Familiarity with ML and AI operationalization. Specifically measurement, goaling, and performance optimization
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
- Familiarity with ML and AI operationalization. Specifically measurement, goaling, and performance optimization
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
- Track-record driving product roadmap and execution
- 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
- 2+ years of experience managing analytics teams
- 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
