Growth Data Science is looking for an experienced manager to lead our Meta Account Access Data Science team, advancing our understanding of trends in users behavior to influence strategy, identify opportunities to drive growth, and execute on projects by partnering with cross-functional teams to deliver long-term impact.
Data Science Manager, Growth Responsibilities:
- Shape the strategic direction of our growth initiatives
- Advance experimentation and measurement rigor across Growth experiments
- Invest in data foundations and analytical methods to sharpen our understanding of growth levers
- Hire & support the DS team in a fast paced environment
- Define growth goals and partner with a cross-functional team to identify levers
- Work closely with Cross Functional Organization leads to continuously improve the observability of product health
Want more jobs like this?
Get jobs in Menlo Park, CA delivered to your inbox every week.
- 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
- A minimum of 2 years of experience working on consumer facing products
- Experience communicating both in low-level technical details as well as high-level strategies
- Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
- Demonstrated experience in translating technical terminology in order to drive understanding and buy-in from a diverse range of stakeholders/executives
- Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
- Proven track record of leading productive and impact-oriented analytics teams.
- 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space
- Prior experience directly working on growth problems for consumer apps
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta 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 accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$206,000/year to $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.