Data Science Manager, Monetization
Listed on 2026-01-16
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IT/Tech
Data Analyst, Data Science Manager
Summary
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.
You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.
As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
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
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 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
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
10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
$210,000/year to $281,000/year + bonus + equity + benefits
IndustryInternet
Equal OpportunityMeta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or…
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