The opportunity
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. Our work is grounded in understanding…
What you'll do
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.
Ability to thrive in ambiguity, take ownership, and balance rigor with speed.
What they're looking for
- 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.
