Director, Data Science, Groups jobs in United States
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Meta · 1 week ago

Director, Data Science, Groups

Meta is a technology company that builds platforms for connection and community. As the Director of Data Science for Groups, you will lead the data strategy for Facebook’s Groups ecosystem, influencing product direction and investment decisions while guiding a high-impact team in a dynamic environment.

Computer Software
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Comp. & Benefits

Responsibilities

Set and drive the data vision and strategy for the Groups ecosystem, identifying opportunities and challenges in a rapidly evolving product landscape
Use data to inform and shape product development, quantify new opportunities, and guide the evolution of Groups to maximize long-term user value
Collaborate with senior leaders across Product, Engineering, and other functions to align on priorities, make hard tradeoffs, and provide clear, data-driven recommendations
Develop and refine frameworks to measure the health, quality, and growth of Groups, including SEO, Search, growth, content differentiation, and user engagement
Inspire, mentor, and grow a team of data scientists and analytics leaders, fostering a culture of rigor, creativity, and impact
Represent Groups Data Science internally and externally, telling compelling data-driven stories and influencing the broader analytics community and executives at Meta

Qualification

Data ScienceData StrategyLeadershipSQLPythonRMathematicsCommunicationMentoringCollaboration

Required

Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field
10+ years of professional experience in applied analytics, data science, or a related discipline
8+ years of experience managing and scaling analytics or data science teams, including experience leading other Data Science leaders
Demonstrated success driving influencing product direction and strategy in large-scale, complex product environments
Proven ability to communicate results of analysis and strategic recommendations to executive leadership
Strong experience initiating and completing complex analytical projects across multiple teams and functions
Track record of hiring, mentoring, and retaining high-performing analytics talent
Advanced proficiency in data languages (SQL, Python or R) and math/statistics

Preferred

Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Economics)
Experience with large-scale recommendation systems
Familiarity with multi-sided content ecosystems
Familiarity with SEO and/or social media platforms

Benefits

Bonus
Equity
Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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