{"id":3283689,"url":"https://alion.io/job/openai-data-scientist-personalization-machine-learning","title":"Applied Data Scientist, Personalization & Machine Learning","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":78,"open_postings":194,"ghost_share":0,"stale_share":0.861,"repost_share":0.005,"time_to_fill_p50_days":52,"computed_at":"2026-10-28T05:59:10Z"}},"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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":347000,"max":445000,"currency":"USD","period":"year","gross":null,"usd_annual":445000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Flyte","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-15T01:07:39Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-28T11:55:41Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"About the Team\nWe work across product, growth, and monetization to help people get more value from OpenAI’s products. We identify opportunities for machine learning, build and test early solutions, and partner with engineering and product to bring successful approaches into production.\nAbout the Role\nWe’re looking for a data scientist who can enter an unfamiliar product area, find a useful ML application, and turn it into a working product intervention. You will own the work from problem definition and data preparation through modeling, experimentation, and launch evaluation.\nProjects will include personalization, next-best-action recommendations, lifecycle management, promotion targeting, and models of retention and customer lifetime value. You will help identify opportunities, build proofs of concept, evaluate, and iterate.\nIn this role, you will:\nIdentify opportunities with product and business partners, define the decision a model will inform, and prioritize work by user value, feasibility, and expected impact.\n\nBuild datasets, features, reproducible training workflows, and models. You’ll use a combination of tools appropriate to the task at hand.\n\nTranslate predictions into product actions. Design experiments and use causal reasoning to establish whether those actions improve user and business outcomes.\n\nPartner with engineers on integration, serving or batch scoring, monitoring, and rollout. Stay involved through launch and iteration.\n\nExplain results and limitations clearly, document decisions, and build reusable methods that other teams can adopt.\n\nYou might thrive in this role if you:\nHave built and evaluated applied ML systems that influenced a product or business decision, with clear ownership of the modeling work.\n\nWrite effective Python and SQL and can investigate imperfect data, debug models, and make pragmatic implementation choices.\n\nBuild and schedule production scoring pipelines using dbt, airflow, and flyte.\n\nUnderstand supervised learning, evaluation, experimentation, and the difference between predicting an outcome and changing it.\n\nCan scope ambiguous problems, work across disciplines, and explain technical tradeoffs to colleagues with different backgrounds.\n\nAre motivated by helping people use AI effectively and by learning unfamiliar product domains.\n\nAre excited to take on challenging, impactful ML problems across multiple areas.\n\nHave experience with recommendation systems, personalization, growth, retention, lifetime value, or treatment-effect modeling would be useful. We welcome candidates whose relevant experience comes from other domains.\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":5148,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Conversational AI","Generative Video","Code Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-26T17:39:59Z"}],"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":"2026-10-15T11:24:14+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":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.619,"p_room":1,"age_days":13,"expected_fill_days":52,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":{"stated_usd_annual":445000,"is_top_pay":true},"html_url":"https://alion.io/job/openai-data-scientist-personalization-machine-learning","json_url":"https://alion.io/job/openai-data-scientist-personalization-machine-learning.json","meta":{"generated_at":"2026-10-28T14:39:27Z","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":19930,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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-personalization-machine-learning"},{"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-personalization-machine-learning"},{"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-personalization-machine-learning"},{"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-personalization-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fopenai-data-scientist-personalization-machine-learning"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3283689}},{"tool":"search_jobs","arguments":{"company":"openai.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3283689},"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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