Data Scientist, B2B Generalist

Role Overview

We are hiring a Data Scientist to help build OpenAI’s B2B ecosystem and go-to-market data science capability. You will turn ambiguous commercial questions into evidence, recommendations, and operating decisions that help OpenAI understand where to focus as our B2B business expands.

What You Will Do

Structure ambiguous B2B and go-to-market questions into clear operational plans, lead strategic deep dives across international expansion, monetization, product penetration, customer segmentation, field deployment, ecosystem dynamics, and organizational design.

Why It Might Be a Fit

Senior-level experience in a quantitative role such as Data Science, Product Analytics, Decision Science, Growth Analytics, Strategy Analytics, or a related field, strong business judgment, and a track record of translating ambiguous analytical work into decisions that business leaders can act on.

Requirements

• Senior-level experience in a quantitative role such as Data Science, Product Analytics, Decision Science, Growth Analytics, Strategy Analytics, or a related field
• Strong business judgment and a track record of translating ambiguous analytical work into decisions that business leaders can act on
• Experience working on B2B, GTM or commercial strategy, monetization, product growth, or similarly complex business problems
• Strong technical fluency with analytical tools such as SQL and Python, or equivalent experience using data to answer open-ended business questions
• Ability to connect data across product, customer, sales, revenue, market, and operational contexts to form a coherent view of the business
• Consulting-style problem solving: you can structure a broad question, identify the highest-leverage analysis, manage uncertainty, and communicate a practical recommendation
• Excellent executive communication and cross-functional partnership
• Comfort operating in a high-ambiguity, fast-changing environment where the team, roadmap, and stakeholder model are still taking shape
• Practical AI fluency and curiosity about how modern AI tools can improve analytical workflows, strategic synthesis, and decision support

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or retirement plan
• Paid time off
• Paid holidays
• Flexible work arrangements
• Professional development opportunities
• Equity or stock options