Data Science Manager, Monetization
Sunnyvale, CA | Bellevue, WA | Menlo Park, CA | Burlingame, CA | Remote, US | New York, NY | San Francisco, CA
You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a productive and impact-oriented team. By joining Meta, you will become part of a driven analytics community dedicated to skill development and career growth in analytics and beyond.
About the role:
Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.Data Science Manager, Monetization Responsibilities
- Drive analytics projects end-to-end in partnership with teams from Engineering, Product Management and across the Analytics community to inform, influence, support, and execute product strategy and investment decisions.
- Inspire, lead, and grow a team of data scientists and manager(s) to fulfill our longer term vision.
- Actively influences the design of the strategy and shaping of the roadmap within this scope. Generate and use team insights to set and prioritize longer term goals.
- Develop understanding of complex distributed systems and sub-components, as well as broader industry challenges, to identify present and future risks and opportunities.
- Work with large and complex data sets to solve a wide array of complex problems using different analytical and statistical approaches.
- Grow analytics skills around you, upskilling your team, engineers, and others, to increase overall team impact.
- 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, 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
- Experience communicating both in low-level technical details as well as high-level strategies
- Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
- Experience with driving product roadmap and execution
- Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
- Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups.
- 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space
- A minimum of 2 years of experience working on consumer facing products
US$206,000/year to US$281,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form. Apply
Job Profile
Accommodations Benefits Bonus Career growth Equity Individual compensation Reasonable accommodations
Tasks- Build
- Communicate insights
- Communication
- Design
- Develop
- Develop strategy
- Drive analytics projects
- Influence product strategy
- Lead and grow data science team
- Product Strategy
- Project management
- Research
- Statistical Modeling
- Work with large data sets
Analytical Analytics Business Communication Computer Science Cross-functional Collaboration Data engineering Data Science Design Developing Distributed Systems Economics Engineering Experimentation Finance Frameworks Identity Leadership Machine Learning Marketing Mathematics Methodologies Modeling Operations Physics Procedures Product Development Product Management Product Strategy Project Management Quantitative analysis Research Statistical analysis Statistical modeling Statistics Strategy Systems Team Leadership Team Management Technical Virtual reality
Experience7 years
EducationAnalytics B.S. Business Computer Science Data Science Design Economics Engineering Equivalent Finance Management Marketing Master Mathematics MS Operations research Ph.D. Physics Statistics Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9