Data science manager planning

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.

Data Science Manager, Demand Planning and Forecasting 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
  
  

Minimum Qualifications:

• 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
  
  

Preferred Qualifications:

• Understanding of statistical analysis
• Leadership Skills: Demonstrated experience leading and developing teams. Communication and interpersonal experience
• Experience with large data sets
  
  

About Meta:

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 [email protected].

$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.