Data Scientist, Real Estate & Workplace

About the Role

Were hiring a Data Scientist to support Real Estate & Workplace (REW) a fast-moving global team focused on creating workplaces that help OpenAIs people do their best work while scaling the companys real estate and workplace operations. Our work is grounded in understanding how people use space and services collaborate across physical and digital environments and experience the workplace.

REWs scope spans portfolio strategy design and construction space planning sustainability workplace experience and global operations. Youll work comfortably across this broad sometimes messy data landscape and build trusted relationships across the domain. The work informs high-impact decisions with immediate visible effectsfrom where teams work and how space and services are allocated to which investments move forward and how workplace experiences evolve. This is a high-ownership Data Science role spanning analytical strategy and hands-on execution. Working at the forefront of AI-native analytics youll help define the future of workplace operations at OpenAI rather than follow an established playbook. Youll shape REWs Data Science roadmap identify where forecasting experimentation and optimization can drive impact and translate business priorities into an analytical plan. Youll own the stakeholder-facing execution layerincluding owning agent-built dashboards recurring reporting models and decision toolsalong with analytical requirements validation adoption and measurable business impact.

In this role youll be partnered closely with Finance People Analytics IT and REW leaders. Youll own problems end to endfrom framing and prioritization through analysis recommendation delivery adoption and iterationso the work drives measurable business outcomes.

What Youll Do

• Own ambiguous high-impact problems end to endfrom 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 systemswhile identifying and integrating novel data sourcesto guide decisions about space services employee experience and investments.

• Communicate assumptions trade-offs and recommendations clearly to technical operational and executive stakeholders.
  
  

What Were Looking For

• 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.

Nice to Have

• Experience building operational automation or decision systems for prioritization forecasting or optimization.

• Experience analyzing human behavioral or organizational-network data from workplace sensors and collaboration technologies such as messaging meetings calendars or workplace platforms.

• Experience creating analytical measurement or governance frameworks in fast-changing environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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At OpenAI we believe artificial intelligence has the potential to help people solve immense global challenges and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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