The opportunity
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.
What you'll do
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.
What they're looking for
- 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: 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.
