OpenAI

Data Scientist, Ads Demand

OpenAI • $150K — $180K *
San Francisco, CA 94112In-Person
Consumer Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 7+ years in data science or analytics focused on ads, marketplace, or B2B performance.
  • Proven track record of driving advertiser demand growth and improving key metrics like delivery and ROAS.
  • Proficient in SQL and Python or R, with strong skills in measurement and forecasting techniques.
  • Exceptional communication skills, effectively influencing cross-functional teams.
  • Experience tackling ambiguous problems with a hands-on approach.

Responsibilities

  • Define core demand metrics and frameworks for measurement within the ads ecosystem.
  • Create comprehensive operating views on advertiser demand metrics, identifying risks and growth areas.
  • Perform in-depth analysis on demand shifts using various statistical techniques and present findings.
  • Manage advertiser performance metrics, establishing benchmarks across multiple dimensions.
  • Develop early-warning systems to detect performance issues and facilitate advertiser growth opportunities.
  • Collaborate with teams to convert analytical insights into advertiser deliverables and best practices.
  • Design experiments to directly measure the impact of product adoption on advertiser outcomes.

Benefits

  • Flexible work schedule promoting work-life balance.
  • Health and wellness programs, including mental health support.
  • Professional development opportunities and training.
  • Open and collaborative work environment.
  • Access to industry-leading tools and technologies.
Full Job Description
About the Role

OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace. You will partner closely with Ads Sales leadership and Ads Product leadership-along with Marketing Science and product and sales teams-to diagnose advertiser performance, define benchmarks, identify growth opportunities, and turn advertiser feedback into product priorities. Your work will shape demand strategy, improve advertiser outcomes, and help OpenAI build for its most valuable advertisers.

What You'll Do

Demand Health & Measurement
  • 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.


Advertiser Performance & Benchmarks
  • 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.


Insights, Adoption & Advertiser Feedback
  • Partner with Marketing Science, Sales, and Product to translate analysis into credible 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.


Strategy, Forecasting & Business Impact
  • 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.


What We're Looking For

Required
  • 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.


Strongly Preferred
  • Experience at a high-performing ads business where data scientists work broadly across Sales, Marketing Science, and Product rather than in a narrow silo.
  • Hands-on familiarity with ad delivery, auctions, measurement, attribution, conversion signals, and the advertiser lifecycle.
  • Experience turning customer feedback into product priorities and evidence-backed best practices that improve advertiser outcomes.


About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Information Technology
Founded
2015
* Ladders Estimates

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