{"id":66911,"url":"https://alion.io/job/openai-data-scientist-real-estate-workplace","title":"Data Scientist, Real Estate & Workplace","company":{"id":2,"name":"OpenAI","domain":"openai.com","url":"https://alion.io/company/openai","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":79,"open_postings":198,"ghost_share":0,"stale_share":0.833,"repost_share":0.01,"time_to_fill_p50_days":51,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":266000,"max":385000,"currency":"USD","period":"year","gross":null,"usd_annual":385000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-20T16:38:56Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-11-06T13:05:01Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"About the Role\nWe’re hiring a Data Scientist to support Real Estate & Workplace (REW), a fast-moving global team focused on creating workplaces that help OpenAI’s people do their best work while scaling the company’s 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.\nREW’s scope spans portfolio strategy, design and construction, space planning, sustainability, workplace experience, and global operations. You’ll 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 effects-from 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, you’ll help define the future of workplace operations at OpenAI rather than follow an established playbook. You’ll shape REW’s Data Science roadmap, identify where forecasting, experimentation, and optimization can drive impact, and translate business priorities into an analytical plan. You’ll own the stakeholder-facing execution layer-including owning agent-built dashboards, recurring reporting, models, and decision tools-along with analytical requirements, validation, adoption, and measurable business impact.\nIn this role, you’ll be partnered closely with Finance, People Analytics, IT, and REW leaders. You’ll own problems end to end-from framing and prioritization through analysis, recommendation, delivery, adoption, and iteration-so the work drives measurable business outcomes.\nWhat You’ll Do\nOwn ambiguous, high-impact problems end to end-from framing and prioritization through delivery, adoption, and iteration.\n\nDefine success metrics and build measurement, forecasting, experimentation, and optimization frameworks for decisions about people, spaces, and investments.\n\nDevelop and own agentic dashboards, reporting, models, and decision tools, ensuring they are trusted, governed, and agent-ready.\n\nConnect 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.\n\nCommunicate assumptions, trade-offs, and recommendations clearly to technical, operational, and executive stakeholders.\n\nWhat We’re Looking For\nAbility to thrive in ambiguity, take ownership, and balance rigor with speed.\n\nFamiliarity with AI-assisted analytics, collaboration technologies, and operational platforms.\n\nExperience in Data Science or Decision Science, ideally in operational, financial, workplace, or internal-tools environments.\n\nStrong grounding in applied statistics, causal inference, forecasting, and model evaluation; fluent in SQL and Python.\n\nProven ability to turn messy, broad datasets into high-impact decisions and measurable outcomes.\n\nEnthusiasm for pioneering AI-native analytics and working with agentic dashboards and decision systems.\n\nExceptional communication skills across operators, engineers, cross-functional partners, and senior leaders.\n\nNice to Have\nExperience building operational automation or decision systems for prioritization, forecasting, or optimization.\n\nExperience analyzing human behavioral or organizational-network data from workplace sensors and collaboration technologies such as messaging, meetings, calendars, or workplace platforms.\n\nExperience creating analytical, measurement, or governance frameworks in fast-changing environments.\n\nAbout OpenAI\nOpenAI 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.\nWe 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.\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.\nBackground 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 information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.\nTo notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.\nOpenAI Global Applicant Privacy Policy\nAt 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.","description_format":"text","description_chars":6300,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Artificial Intelligence","Generative Video","Code Intelligence"],"lifecycle":[{"event":"open","at":"2026-08-20T16:38:56Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 262 · green card filings: 3","filings_12m":262,"filings_prev_12m":114,"green_card_filings_12m":3,"median_offered_wage_usd":272217,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":30}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.423,"p_room":0.36,"age_days":77,"expected_fill_days":51,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand,attention"],"computed_at":"2026-11-06T05:58:05Z"},"pay":{"stated_usd_annual":385000,"is_top_pay":true},"html_url":"https://alion.io/job/openai-data-scientist-real-estate-workplace","json_url":"https://alion.io/job/openai-data-scientist-real-estate-workplace.json","meta":{"generated_at":"2026-11-06T13:15:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24289,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2},"rest":"https://alion.io/mcp/rest/get_company?id=2"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fopenai-data-scientist-real-estate-workplace"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fopenai-data-scientist-real-estate-workplace"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fopenai-data-scientist-real-estate-workplace"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/openai-data-scientist-real-estate-workplace\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fopenai-data-scientist-real-estate-workplace"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":66911}},{"tool":"search_jobs","arguments":{"company":"openai.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":66911},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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