Data scientist manager central product

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.

Required Skills:

Data Scientist Manager, Central Product Platform 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:

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:

Preferred Qualifications:

Experience supporting analytic platforms, working with cross company stakeholders, and prioritizing features based on multiple goals

Ideally a background in experimentation and survey research

Familiarity with ML and AI operationalization. Specifically measurement, goaling, and performance optimization

Public Compensation:

$206,000/year to $281,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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].