Data Scientist, GTM

About The Team

OpenAI’s GTM Data Science team helps shape how our products are adopted, monetized, and scaled across organizations. We work at the intersection of Product, Go-to-Market, Finance, Research, and Data, turning product usage, customer evidence, and market signals into decisions that grow durable enterprise value. We’re looking for a senior Data Scientist to own the analytical strategy for enterprise knowledge-worker adoption.

About The Role

You will define how we measure activation, retained usage, workflow depth, and value across ChatGPT Work, Codex, and connected enterprise systems. You will explain why adoption succeeds or stalls and identify the product, enablement, and commercial interventions most likely to create durable usage. This is a hands-on, zero-to-one role. You will work through imperfect telemetry, overlapping product surfaces, evolving definitions, and ambiguous business questions. You will partner closely with GTM, Product, Finance, Research, Customer Deployment, Analytics Engineering, and Data Science.

Qualifications

• Significant experience in data science, product analytics, growth analytics, economics, statistics, or a related quantitative field.
• Strong hands-on ability in SQL and Python, including experience working with large and imperfect behavioral datasets.
• Experience defining activation, retention, engagement, funnel, or product-adoption metrics, with strong knowledge of experimentation, causal inference, cohort analysis, and segmentation.
• Ability to translate ambiguous business questions into structured analyses, independently define the analytical direction, and bring senior stakeholders along through clear tradeoff framing.
• Strong written and verbal communication skills, including a demonstrated ability to influence senior technical and non-technical stakeholders.

Preferred Qualifications

• Experience with enterprise SaaS, collaboration products, AI products, developer tools, productivity software, or multi-product platforms.
• Experience connecting product usage to revenue, expansion, customer health, enablement, or other GTM interventions.
• Experience with identity resolution, cross-surface journeys, telemetry design, evolving product taxonomies, or qualitative customer evidence.
• Experience helping establish a new data science area, operating model, technical roadmap, or recurring executive decision cadence.