Data Scientist, B2B Generalist

OpenAI is hiring a Data Scientist to support its B2B ecosystem and expand its go-to-market data science capability. The role focuses on translating ambiguous commercial questions into evidence-backed recommendations and partnering across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science to inform B2B growth decisions.

Responsibilities

• Translate ambiguous B2B and go-to-market questions into clear operational plans, including the decision at stake, the evidence required, and how insights will be applied.
• Drive strategic deep dives spanning international expansion, monetization, product penetration, customer segmentation, field deployment, ecosystem dynamics, and organizational design.
• Evaluate product usage, customer behavior, adoption patterns, sales and field activity, pipeline and revenue signals, and market context to identify drivers of B2B growth.
• Collaborate with leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science to convert analysis into prioritization decisions, field plays, investment choices, and operating cadences.
• Present complex findings to executives and cross-functional partners using crisp recommendations, transparent assumptions, and clear tradeoffs.
• Apply practical AI fluency by leveraging modern AI tools to accelerate analysis, synthesize evidence, improve workflows, and expand how data science supports business decision-making.
• Help define the operating model for an emerging B2B data science capability, including how the team frames problems, engages stakeholders, evaluates opportunities, and turns insights into GTM action.

Requirements

• Senior-level experience in a quantitative discipline such as Data Science, Product Analytics, Decision Science, Growth Analytics, Strategy Analytics, or a related field.
• Strong business judgment with a demonstrated ability to turn ambiguous analysis into decisions business leaders can act on.
• Experience working on B2B, GTM, commercial strategy, monetization, product growth, or similarly complex business problems.
• Technical proficiency with analytical tools including SQL and Python, or equivalent experience using data to answer open-ended business questions.
• Ability to connect data across product signals into a coherent view of the business.
• Consulting-style problem solving, including structuring broad questions, identifying high-leverage analysis under uncertainty, and communicating practical recommendations.
• Excellent executive communication and cross-functional collaboration, influencing senior leaders, field teams, product partners, operators, and other data scientists with clear evidence and balanced judgment.
• Comfort working in a high-ambiguity, fast-changing environment where the team, roadmap, and stakeholder model continue to form.
• Practical AI fluency and curiosity about how modern AI tools can improve analytical workflows, strategic synthesis, and decision support.

Technology

• SQL
• Python

Compensation

USD 347,000 - 445,000 per year + offers equity. The base pay offered may vary based on individualized factors.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided

Location

San Francisco, CA (onsite)