Meta is looking to shape the future of experiences for billions of people and hundreds of millions of businesses worldwide by driving impact through quality, efficiency, and velocity
Requirements
- BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering)
- A minimum of 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 with ML and AI operationalization. Specifically measurement, goaling, and performance optimization
- Familiarity with analytic platforms, working with cross company stakeholders, and prioritizing features based on multiple goals
- Background in experimentation and survey research
- 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
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
- Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
- Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
Other
- BS/MS degree 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
- Track-record driving product roadmap and execution
- Ability to work with cross-functional teams
