Meta seeks to shape the future of experiences for billions of people and hundreds of millions of businesses worldwide by leveraging data science to drive impact through quality, efficiency, and velocity in product and business ecosystems.
Requirements
- 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
- 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, including 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
- 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
Responsibilities
- Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
- 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
- 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
Other
- BS degree in a quantitative discipline or equivalent working experience
- Proven track record of leading high-performing analytics teams
- Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
- Experience communicating both in low-level technical details as well as high-level strategies
- Track-record driving product roadmap and execution
