Data Science Director - Infrastructure Data Center Analytics
- Location
- Bellevue, WA
- Job type
- Full-time
- Level
- Director
- Experience
- 10+ years
- Education
- Bachelor's degree
- Listed
- 28 days ago
Skills & highlights for this role
- quantitative analysis
- technical storytelling
- large-scale technical program leadership
- AI infrastructure analytics
Also useful
- capacity planning
- reliability engineering
- energy management
- supply chain optimization
About the role
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- Data Science Director - Infrastructure Data Center Analytics
- Bellevue, WA +1 location
- Analytics
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Meta Compute Analytics is looking for an exceptional and highly experienced Analytical leader to join our Data Center Analytics Organization as the most senior individual contributor and technical authority for Analytics within Data Center Infrastructure. This role reports directly to the Head of Data Center Infrastructure Data Analytics.
You will influence the analytical strategy for the organization, drive critical, high-impact Analytics initiatives across the entire Data Center and Infrastructure domain, and act as a principal storyteller, bridging complex technical concepts with critical business outcomes for leadership and company-wide audiences. This role is crucial for establishing and maintaining how Analytics is supporting and enabling Data Center Infrastructure in the evolving AI landscape and the scaling compute.
Data Science Director - Infrastructure Data Center Analytics Responsibilities
- Represent Data Center Infrastructure Data Science and the broader organization in high-stakes technical and engineering discussions with a wide range of cross functional partners, including Infra leadership and other Meta organizations and leaders.
- Translate complex technical work into clear, compelling narratives for diverse audiences, demonstrating the business impact of Data Science initiatives to both technical and executive stakeholders.
- Serve as the foremost Analytical authority and individual contributor for Data Science within the Data Center Infrastructure organization, setting technical direction, standards, and best practices.
- Lead the development and execution of Analytical solutions for high-priority Data Center Infrastructure initiatives, particularly those which cross the Data Center boundaries into broader Meta.
- Act as a technical thought leader, driving innovation in Data Science and analytics specifically tailored to the unique challenges of Data Center and Infrastructure at a hyperscale level.
- Provide deep technical mentorship and guidance to other Data Scientists and Data Engineers, raising the overall technical bar of the organization.
- Collaborate with Engineering and Product teams to drive the full lifecycle of data science solutions, from ideation and experimentation to robust deployment and measurement at scale.
Minimum Qualifications
- 10+ years of experience in a Data Science, Applied Science, or Analytical Engineering role, with a proven track record of leading large, complex technical programs
- Demonstrated ability to function as a technical storyteller, articulating highly technical concepts and their business implications effectively to technical, business, and executive audiences
- Experience working in the Data Center, Infrastructure, Cloud, or other relevant hyperscaler domains, demonstrating deep domain knowledge is desirable but not necessary
- Proven experience driving technical strategy and thought leadership in a fast-paced, high-growth, and rapidly evolving technical environment, particularly adapting to new AI paradigms
- B.S. or M.S. in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Physics, or equivalent practical experience
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
- Prior experience in Director or Senior Director level role, serving as the most senior technical voice for a large organization or domain
- Ph.D. in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Physics, or equivalent
- Expertise in capacity planning, reliability engineering, energy management, or supply chain optimization within an Infrastructure or Data Center environment
- Experience in representing a technical organization externally at conferences, industry working groups, or through publications
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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.
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United States of America: $314,000/year to $361,000/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.
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From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Data Science Director - Infrastructure Data Center Analytics job at Meta located?
This Data Science Director - Infrastructure Data Center Analytics position at Meta is located in Bellevue, WA. Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for Data Science Director - Infrastructure Data Center Analytics at Meta?
For the Data Science Director - Infrastructure Data Center Analytics role, Meta highlights 10+ years of relevant experience; a bachelor's degree; experience with quantitative analysis, technical storytelling, large-scale technical program leadership, AI infrastructure analytics. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Data Science Director - Infrastructure Data Center Analytics position at Meta?
This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.