Data Scientist, Ads Demand
OpenAI· Data Science
San Francisco$293k - $515kFull-timePosted 2mo ago
About the role
Data Scientist role focusing on measurement, insight, and advertiser value for OpenAI's Ads Demand business, partnering with Sales, Product, Marketing Science, and cross-functional teams to diagnose advertiser performance, define benchmarks, and translate feedback into product priorities.
Responsibilities
- Define the North Star metrics, diagnostic framework, and measurement strategy for demand health across the ads system.
- Build the operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix; identify emerging risks and opportunities.
- Diagnose changes in demand through cohort analysis, decomposition, experimentation, and causal methods, translating findings into clear actions for Sales and Product leadership.
- Own the end-to-end view of advertiser outcomes—including delivery, ROAS, conversion performance, retention, and budget efficiency—for individual advertisers and key cohorts.
- Establish actionable benchmarks by objective, vertical, advertiser size, geography, maturity, and product adoption, with statistically sound peer comparisons.
- Develop early-warning signals and opportunity scoring that help sales teams surface under-delivery, performance risk, and advertiser growth potential.
- Set standards for metric definitions, data quality, and interpretation so leaders can separate real marketplace changes from seasonality, selection effects, and measurement artifacts.
- Partner with Marketing Science, Sales, and Product to translate analysis into advertiser-facing insights, benchmarks, and best practices.
- Design measurement plans and experiments that quantify how best-practice and product adoption affect delivery, ROAS, retention, and long-term advertiser value.
- Build a systematic feedback loop that converts advertiser input into quantified themes and prioritized product opportunities, then measures whether shipped changes improve outcomes.
- Partner with Ads Sales leadership to segment demand, size opportunities, forecast outcomes, and inform demand strategies, sales plays, and investments.
- Partner with Ads Product leadership to estimate advertiser value, prioritize the roadmap, and measure the business impact of product launches.
Qualifications
- 7+ years of experience in data science or analytics within an ads platform, marketplace, or performance-oriented B2B business.
- Demonstrated business impact through advertiser demand growth, improved delivery or ROAS, stronger retention, or decisions that changed product and sales strategy.
- Strong SQL and Python or R, with depth in measurement, experimentation, causal inference, segmentation, benchmarking, and forecasting.
- Exceptional cross-functional communication and influence with both sales and product leaders, plus a hands-on approach to ambiguous, 0-to-1 problems.
Skills
Required:SQLPython or RMeasurement & experimentationForecasting & segmentationCross-functional communication
Nice to have:Advertiser lifecycle & delivery knowledge
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
Last updated Aug 6, 2026. Interested? Apply on the company site.
About OpenAI
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