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Data Science Director

Job in Northern, Floyd County, Kentucky, USA
Listing for: Meta Careers
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 250000 - 360000 USD Yearly USD 250000.00 360000.00 YEAR
Job Description & How to Apply Below
# Data Science Director Menlo Park, CA Data Science+ 1 more Apply nowWe’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 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 across North America and Europe.
* 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.
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