Product Policy - Data Scientist Job at OpenAI (San Francisco)

Job Description

As a Product Policy - Data Scientist, you will design and lead high-impact research that shapes OpenAI’s product strategy and user experience. You’ll work across multiple product teams to generate insights that influence product decisions, inform design direction, and improve how people interact with AI. You will own research from start to finish—partnering with stakeholders to define the right questions, choosing the best methods, executing studies, and turning findings into clear, actionable recommendations. This role requires someone who can balance rigor with speed, bring clarity to ambiguity, and confidently influence cross-functional partners at all levels.

Job Responsibility

Partner with product managers, designers, and engineers to identify and prioritize research opportunities that improve product decisions and user experience
Design and execute high-quality qualitative and quantitative research across all stages of product development, including foundational research, concept testing, prototyping, and usability testing
Lead end-to-end research projects, from scoping and study design through recruitment, fieldwork, analysis, and reporting
Translate complex research findings into clear, compelling insights that inform product strategy and design direction
Present findings and recommendations to senior leadership and key stakeholders
Balance rigor and speed by adapting methods to timelines while maintaining high standards for data quality and validity

Requirements

7+ years of experience in user experience research, market research, or a related field
Deep expertise in mixed-methods research, with strong qualitative skills and the ability to conduct and analyze quantitative studies at scale
Proven experience leading research that has shaped product or design decisions
Exceptional written and verbal communication skills, with the ability to influence across disciplines and levels
Experience working with senior stakeholders and cross-functional teams

Nice to have

Experience with advanced quantitative methods (e.g., MaxDiff, conjoint, segmentation)
Experience working with executive audiences or large enterprise clients

What we offer

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 to fuel your professional growth
Daily meals in our 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
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Product Policy - Data Scientist

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