Data Scientist, Real Estate & Workplace

Details

About the Role

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 work involves understanding how people use space and services, collaborate across physical and digital environments, and experience the workplace.

REW’s scope spans portfolio strategy, design and construction, space planning, sustainability, workplace experience, and global operations. You’ll work across a broad and sometimes messy data landscape, build trusted relationships across the domain, and inform high-impact decisions about team locations, space and service allocation, investments, and workplace experiences.

This is a high-ownership Data Science role spanning analytical strategy and hands-on execution. Working at the forefront of AI-native analytics, you’ll help define the future of workplace operations at OpenAI. You’ll shape REW’s Data Science roadmap, identify where forecasting, experimentation, and optimization can drive impact, and translate business priorities into an analytical plan. You’ll own agent-built dashboards, recurring reporting, models, and decision tools, as well as analytical requirements, validation, adoption, and measurable business impact.

You’ll partner closely with Finance, People Analytics, IT, and REW leaders. You’ll own problems end to end, from framing and prioritization through analysis, recommendation, delivery, adoption, and iteration, ensuring the work drives measurable business outcomes.

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.
• 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.
• Fluency 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.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law.

Compensation and Benefits

The salary range is $230,000–$342,000 per year, in addition to equity. Total compensation may also include performance-related bonuses and benefits such as medical, dental, and vision insurance; pre-tax accounts; a 401(k) plan with employer match; paid parental, medical, and caregiver leave; paid time off and holidays; mental health and wellness support; life and disability coverage; a learning and development stipend; meals and meal delivery credits; and relocation support for eligible employees.