Data Science Director

Meta; Menlo Park (CA); On-site; USD 253,000 - 314,000; Full time

Job summary

Meta is seeking a seasoned analytics leader to drive data-informed decisions across product and business teams. You will inspire and grow a distributed data science organization, shape development through quantitative analysis, and present clear data-driven recommendations to executives.

You will guide the analytics strategy, test hypotheses with rigorous methods, and influence product direction at scale. This role emphasizes leadership, collaboration, and the ability to translate complex

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development
• Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams
• Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses
• Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments
• Experience working effectively with multiple stakeholders and cross-functionally
• Effective communication skills

Responsibilities

• Inspire, lead and grow a distributed team of data scientists and data science leaders
• Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings
• Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale
• Lead development and communication of product area insights and recommended action items with Meta Analytics leadership

Skills

Leadership

Data analysis

Data mining

Communication

AI

Hiring

Education

Bachelor's degree in CS or related field

Tools

AI tools integration

Job description

We’re looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.

About the role:

People leadership: You will inspire, lead and grow a high-performing team.

Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Data Science Director Responsibilities:

• Inspire, lead and grow a distributed team of data scientists and data science leaders


• Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings


• Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale


• Lead development and communication of product area insights and recommended action items with Meta Analytics leadership

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience


• 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development


• Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams


• Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses


• Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments


• Experience working effectively with multiple stakeholders and cross-functionally


• Effective communication skills

Preferred Qualifications:

• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies


• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)


• Experience with both product and business analytics work and demonstrated ability to deliver an integrated approach


• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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 [e-mail].

$253,000/year to $314,000/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.