Data Scientist, Real Estate & Workplace

OpenAI
San Francisco, Mountain View
Workplace: HybridFull timeUSD 230,000 - 342,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Stakeholder management","Problem-solving","Ownership","Adaptability"]

Own end-to-end, high-impact data science problems for OpenAI’s Real Estate & Workplace (REW) team. Define success metrics and build measurement, forecasting, experimentation, and optimization frameworks to guide decisions on people, spaces, services, and investments. Develop trusted agentic dashboards, reporting, models, and decision tools, integrating data from workplace sensors, collaboration tools, operations, and financial systems, and drive adoption through clear stakeholder communication.

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FursaFursa
OpenAI
OpenAI
1 day ago

Data Scientist, Real Estate & Workplace

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Last checked: 4 hours agoStatus: Live

Job Summary

Own end-to-end, high-impact data science problems for OpenAI’s Real Estate & Workplace (REW) team. Define success metrics and build measurement, forecasting, experimentation, and optimization frameworks to guide decisions on people, spaces, services, and investments. Develop trusted agentic dashboards, reporting, models, and decision tools, integrating data from workplace sensors, collaboration tools, operations, and financial systems, and drive adoption through clear stakeholder communication.
Location: San Francisco, Mountain View
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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 and integrate data from workplace sensors, collaboration tools, operations, and financial systems (including novel data sources) to guide decisions.
  • •Communicate assumptions, trade-offs, and recommendations clearly to technical, operational, and executive stakeholders.

Pay and Benefits

Salary: USD 230,000 - 342,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Ability to thrive in ambiguity, take ownership, and balance rigor with speed.
  • •Strong grounding in applied statistics, causal inference, forecasting, and model evaluation.
  • •Fluent in SQL and Python.
  • •Experience in Data Science or Decision Science, ideally in operational, financial, workplace, or internal-tools environments.
  • •Proven ability to turn messy, broad datasets into high-impact, measurable outcomes.
Experience:Data scienceDecision scienceOperational analyticsFinancial analyticsWorkplace analyticsInternal tools
Skills:CommunicationStakeholder managementProblem-solvingOwnershipAdaptability
Tech Stack:SQLPython

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor