Data Scientist, Real Estate & Workplace

We’re hiring a Data Scientist to support Real Estate & Workplace (REW), a fast-moving global team focused on creating workplaces that help OpenAI’s people do their best work while scaling the company’s real estate and workplace operations.

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $230K – $342K, with generous equity, performance-related bonus(es) for eligible employees, and the following benefits:

• 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 or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• 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.

Responsibilities

• Own ambiguous, high-impact problems end to end,from framing and prioritization through delivery, adoption, and iteration.
• Define success metrics and build measurement, forecasting, experimentation, and optimization frameworks for decisions about people, spaces, and investments.
• Develop and own agentic dashboards, reporting, models, and decision tools, ensuring they are trusted, governed, and agent-ready.
• Connect data from workplace sensors, collaboration tools, operations, and financial systems,while identifying and integrating novel data sources,to guide decisions about space, services, employee experience, and investments.
• Communicate assumptions, trade-offs, and recommendations clearly to technical, operational, and executive stakeholders.

Requirements

• Ability to thrive in ambiguity, take ownership, and balance rigor with speed.
• Familiarity with AI-assisted analytics, collaboration technologies, and operational platforms.
• Experience in Data Science or Decision Science, ideally in operational, financial, workplace, or internal-tools environments.
• Strong grounding in applied statistics, causal inference, forecasting, and model evaluation; fluent in SQL and Python.
• Proven ability to turn messy, broad datasets into high-impact decisions and measurable outcomes.
• Enthusiasm for pioneering AI-native analytics and working with agentic dashboards and decision systems.
• Exceptional communication skills across operators, engineers, cross-functional partners, and senior leaders.

Nice to Have

• Experience building operational automation or decision systems for prioritization, forecasting, or optimization.
• Experience analyzing human behavioral or organizational-network data from workplace sensors and collaboration technologies such as messaging, meetings, calendars, or workplace platforms.
• Experience creating analytical, measurement, or governance frameworks in fast-changing environments.