AI-Driven Data Scientist for Real Estate & Workplace

AI Chopping Block; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

OpenAI is seeking a Data Scientist to support Real Estate & Workplace (REW), a fast-moving global team shaping workplace strategy and operations for OpenAI. You’ll work across data landscapes, build trusted relationships, and drive decisions that influence space allocation, investments, and experiences.

You’ll own the Data Science roadmap, develop forecasting, experimentation, and optimization, and deliver agent‑built dashboards and tools for leadership.

Qualifications

• 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.

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.

Skills

SQL

Python

Statistics

Forecasting

Causal Inference

Model Evaluation

Data Science

Job description

OpenAI is seeking a Data Scientist to support Real Estate & Workplace (REW), a fast-moving global team shaping workplace strategy and operations for OpenAI. You’ll work across data landscapes, build trusted relationships, and drive decisions that influence space allocation, investments, and experiences.

You’ll own the Data Science roadmap, develop forecasting, experimentation, and optimization, and deliver agent‑built dashboards and tools for leadership.