Data Scientist, B2B Strategy & Intelligence

Job summary

Responsibilities

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.

• Structure ambiguous B2B and go-to-market questions into clear operational plans, identifying the decision at stake, the evidence needed, and how insights will translate into…
• Lead strategic deep dives across international expansion, monetization, product penetration, customer segmentation, field deployment, ecosystem dynamics, and organizational design.
• Analyze product usage, customer behavior, adoption patterns, sales and field activity, pipeline and revenue signals, and market context to identify the drivers of B2B growth.
• Partner closely with GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science leaders to turn analysis into prioritization decisions, field plays, investment choices…
• Communicate complex findings to executives and cross-functional partners with crisp recommendations, transparent assumptions, and clear tradeoffs.

What they're looking for

• 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.

Tech stack

• SQL
• Python