Data Scientist, Real Estate & Workplace

Highlights

• Define data science roadmap for global real estate and workplace operations.
• Build forecasting and optimization tools guiding space and investment decisions.
• Connect sensor, collaboration, and financial data to improve workplace experience.

What they offer

• Equity

Ideal candidate

Ambiguity-thriving data scientist who owns messy operational problems end-to-end and loves turning human and space data into visible workplace impact while pioneering AI-native analytics.

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; fluent 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