Data Scientist, Ads Demand

OpenAI
San Francisco
Workplace: OnsiteFull timeUSD 293,000 - 515,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Cross-functional communication","Influence","Hands-on problem solving"]

Build the measurement and insight foundation for Ads demand health, partnering with Ads Sales and Ads Product leadership. Define North Star metrics and a diagnostic measurement strategy, create an operating view across advertiser outcomes, and use cohort analysis, experimentation, and causal methods to identify risks, opportunities, and benchmarks. Translate findings into advertiser-facing insights and a feedback loop that turns advertiser input into prioritized product opportunities, including forecasting and business impact.

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FursaFursa
OpenAI
OpenAI
1 month ago

Data Scientist, Ads Demand

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Job Summary

Build the measurement and insight foundation for Ads demand health, partnering with Ads Sales and Ads Product leadership. Define North Star metrics and a diagnostic measurement strategy, create an operating view across advertiser outcomes, and use cohort analysis, experimentation, and causal methods to identify risks, opportunities, and benchmarks. Translate findings into advertiser-facing insights and a feedback loop that turns advertiser input into prioritized product opportunities, including forecasting and business impact.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • ā€¢Define North Star metrics and a diagnostic framework for demand health across the ads system.
  • ā€¢Build an operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix.
  • ā€¢Diagnose changes in demand using cohort analysis, decomposition, experimentation, and causal methods, translating findings into actions for Sales and Product leadership.
  • ā€¢Own end-to-end advertiser outcomes (delivery, ROAS, conversion performance, retention, budget efficiency) and develop statistically sound benchmarks.
  • ā€¢Translate analysis into advertiser-facing insights and run measurement plans/experiments to quantify how best practices and product adoption affect outcomes, feeding a quantified feedback loop into prioritized product opportunities.

Pay and Benefits

Salary: USD 293,000 - 515,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • ā€¢7+ years of experience in data science or analytics within an ads platform, marketplace, or performance-oriented B2B business.
  • ā€¢Demonstrated business impact such as advertiser demand growth, improved delivery/ROAS, stronger retention, or decisions that changed product and sales strategy.
  • ā€¢Strong SQL and Python or R, with depth in measurement, experimentation, causal inference, segmentation, benchmarking, and forecasting.
  • ā€¢Exceptional cross-functional communication and influence with sales and product leaders, with a hands-on approach to ambiguous, 0-to-1 problems.
Experience:7+ yearsAdsMarketplaceB2BPerformance marketing
Skills:Cross-functional communicationInfluenceHands-on problem solving
Tech Stack:SQLPythonR

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·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
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