Data Science Director - Infrastructure Data Center Analytics

Meta Careers; Menlo Park (CA); On-site; USD 314,000 - 361,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta Compute Analytics seeks an exceptional 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 analytical strategy, lead high-impact initiatives, and translate complex technical concepts into business outcomes for leadership and company-wide audiences across Meta.

Qualifications

• 10+ years in Data Science, Applied Science, or Analytical Engineering leading large programs.
• Proven ability to articulate highly technical concepts to technical, business, and executive audiences.
• Experience in Data Center, Infrastructure, Cloud, or hyperscaler domains is desirable.
• Director/Senior Director level experience preferred; PhD in quantitative field a plus.

Responsibilities

• Represent Data Center Infrastructure Data Science in high-stakes technical discussions with Infra leadership and other Meta groups.
• Translate complex work into clear narratives demonstrating business impact to leadership and stakeholders.
• Serve as the foremost Analytical authority, setting technical direction and standards.
• Lead development and execution of analytical solutions for high-priority Data Center initiatives.
• Mentor Data Scientists and Data Engineers; collaborate with Engineering and Product teams from ideation to deployment.

Skills

Technical storytelling

Thought leadership

Mentorship

Data science leadership

Cross-functional collaboration

Education

Bachelor's in Computer Science/Engineering/related

MS or PhD preferred

Job description

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 programsDemonstrated ability to function as a technical storyteller, articulating highly technical concepts and their business implications effectively to technical, business, and executive audiencesExperience working in the Data Center, Infrastructure, Cloud, or other relevant hyperscaler domains, demonstrating deep domain knowledge is desirable but not necessaryProven experience driving technical strategy and thought leadership in a fast-paced, high-growth, and rapidly evolving technical environment, particularly adapting to new AI paradigmsB.S. or M.S. in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Physics, or equivalent practical experienceBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Prior experience in Director or Senior Director level role, serving as the most senior technical voice for a large organization or domainPh.D. in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Physics, or equivalentExpertise in capacity planning, reliability engineering, energy management, or supply chain optimization within an Infrastructure or Data Center environmentExperience in representing a technical organization externally at conferences, industry working groups, or through publicationsAbout 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].$314,000/year to $361,000/year + bonus + equity + benefitsIndividual 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.