Meta provided pay range
This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Data Science Manager, Analytics Responsibilities:
- Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world.
- Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
- Influence product direction through clear and compelling presentations to leadership.
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
- Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
- Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta.
- A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams.
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
- Experience initiating and completing analytical projects with minimal guidance.
- Experience communicating results of analysis to senior leadership.
- Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
- Experience working in technology, consulting, or finance.
- Proven track record of leading high-performing analytics teams.
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.
$173,000/year to $242,000/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.
-
Seniority level
Not Applicable -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Technology, Information and Internet
Referrals increase your chances of interviewing at Meta by 2x
See who you knowGet notified about new Data Science Manager jobs in San Francisco, CA.
Sign in to create job alertSimilar jobs
People also viewed
-
Head of Data Sciences
Head of Data Sciences
-
REMOTE Head, Data Science - FinTech/eCommerce
REMOTE Head, Data Science - FinTech/eCommerce
-
Manager, Clinical Data Scientist, Clinical Data Sciences
Manager, Clinical Data Scientist, Clinical Data Sciences
-
Director, People Data Science
Director, People Data Science
-
Director, Data Science – Customer Engineering
Director, Data Science – Customer Engineering
-
Manager, Clinical Data Scientist, Clinical Data Sciences
Manager, Clinical Data Scientist, Clinical Data Sciences
-
Senior Director - Data Science, Personalization
Senior Director - Data Science, Personalization
-
Director of Data Science
Director of Data Science
-
Manager, Clinical Data Management
Manager, Clinical Data Management
-
Manager, Data Science, Analytics - Grocery Consumer Shopping Experience
Manager, Data Science, Analytics - Grocery Consumer Shopping Experience
Similar Searches
Explore collaborative articles
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Explore More