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Meta · 18 hours ago

Data Science Manager, Monetization

Seattle, WA

Full-time

Onsite

Director/Executive

$210K/yr - $281K/yr

7+ years exp

Meta builds technologies that help people connect, find communities, and grow businesses. As a Data Science Manager at Meta, you will lead a team of data scientists, drive analytics projects, and collaborate with various cross-functional partners to inform product strategy and investment decisions.

Computer Software

Comp. & Benefits

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

Qualification

Quantitative analysisStatistical modelingMachine learningTeam leadershipCross-functional partnershipData storytellingProject managementProduct intuitionCommunication skillsCreative problem solving

Required

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