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Data Scientist, Infrastructure

United States, San Francisco 230000.00 - 385000.00 USD / Year · Job Posted February 21, 2026
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Job Description

As a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company. You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds.

Job Responsibility

  • Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling
  • Develop forecasting and optimization models to support infra planning and resource allocation
  • Partner with engineering, research, and product teams to shape infrastructure strategy through data
  • Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI

Requirements

  • 5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research org
  • Experience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground up
  • A strong foundation in SQL and Python, and a track record of building models and analyses that drive technical and strategic decisions
  • Excellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholders
  • A strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffs

Nice to have

  • Proven track record of operating as a data partner in large scale backend systems
  • Comfortable navigating fast-paced execution while also anchoring decisions in long-term impact
  • Strong programming background, with ability to run simulations and prototype variants
  • Experience in NLP, large language models, or generative AI

What we offer

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick and safe time (1 hour per 30 hours worked)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided
  • Offers Equity

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