Data Science Manager – Demand Planning and Forecasting
| Company | Meta |
|---|---|
| Location | Seattle, WA, USA, Burlingame, CA, USA, New York, NY, USA, Bellevue, WA, USA |
| Salary | $206000 – $281000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
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
- Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
- 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
Preferred Qualifications
- Understanding of statistical analysis
- Experience with large data sets
- Leadership Skills: Demonstrated experience leading and developing teams. Communication and interpersonal experience