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Data Science Director

Job in Seattle, King County, Washington, 98127, USA
Listing for: Meta
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software), Data Science Manager
Salary/Wage Range or Industry Benchmark: 253000 - 314000 USD Yearly USD 253000.00 314000.00 YEAR
Job Description & How to Apply Below
Summary:

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.

Required Skills:

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:

    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:

    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)
  • Public Compensation:

    $253,000/year to $314,000/year + bonus + equity + benefits

    Industry:

    Internet

    Equal Opportunity:

    Meta is proud to be an Equal Employment Opportunity and Aff…?? 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

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