OpenAI
Data Scientist, Real Estate & Workplace
$266K–$385K
San Francisco +1 · Hybrid · Full-time · Posted Aug 20, 2026
- Location
- San Francisco
Mountain View
About the job
Leads end-to-end data science for Real Estate & Workplace, building analytics and decision tools to guide workplace, space, service, and investment decisions.
What you'll do
- Frame and deliver high-impact analyses, recommendations, and decision tools from prioritization through adoption and iteration.
- Develop measurement, forecasting, experimentation, and optimization frameworks and agentic dashboards, reporting, and models.
- Integrate workplace, collaboration, operational, and financial data and communicate findings to stakeholders.
What they ask for
- Strong grounding in applied statistics, causal inference, forecasting, and model evaluation.
- Fluent in SQL and Python.
- Experience in Data Science or Decision Science.
- Ability to turn broad, messy datasets into decisions and measurable outcomes.
Nice to have
- Experience building operational automation or decision systems for prioritization, forecasting, or optimization.
- Experience analyzing workplace behavioral or organizational-network data from sensors and collaboration technologies.
Pay
$266K – $385K USD base salary
Tools
SQL, Python
AI focus
Pioneers AI-native analytics by owning agent-built dashboards and agentic decision tools, making them trusted, governed, and agent-ready.
Model-written summary · the original posting is authoritative