Data Scientist, Ads Demand

About the Role

OpenAIs 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 leadershipalong with Marketing Science and product and sales teamsto 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 Youll 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 outcomesincluding delivery ROAS conversion performance retention and budget efficiencyfor 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 Were 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 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.

We 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.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background 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 addition job duties require access to secure and protected information technology systems and related data security obligations.

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