Data Science Manager, Monetization

About the Role

Key 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.

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.
• Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
• 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space.
• Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups.
• A minimum of 2 years of experience working on consumer-facing products.

Qualifications

• BS degree in a quantitative discipline or equivalent experience.
• Master's or Ph.D. degree in a relevant quantitative field.