Data Scientist, Real Estate & Workplace

Job summary

Responsibilities

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.

• 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…
• Communicate assumptions, trade-offs, and recommendations clearly to technical, operational, and executive stakeholders.

What they're looking for

• 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.

Tech stack

• SQL
• Python