Data Scientist Job at OpenAI (San Francisco)

Job Description

OpenAI’s User Operations organization is building the data and intelligence layer behind AI-assisted operations — the systems that decide when automation should help users, when humans should step in, and how both improve over time. Our flagship platform is transforming customer support into a model for “agent-first” operations across OpenAI. As a Data Scientist on User Operations, you’ll design the models, metrics, and experimentation frameworks that power OpenAI’s human-AI collaboration loop. You’ll build systems that measure quality, optimize automation, and turn operational data into insights that improve product and user experience at scale. You’ll partner closely with Support Automation Engineering, Product, and Data Engineering to ensure our data systems are production-grade, trusted, and impactful.

Job Responsibility

Build and own metrics, classifiers, and data pipelines that determine automation eligibility, effectiveness, and guardrails
Design and evaluate experiments that quantify the impact of automation and AI systems on user outcomes like resolution quality and satisfaction
Develop predictive and statistical models that improve how OpenAI’s support systems automate, measure, and learn from user interactions
Partner with engineering and product teams to create feedback loops that continuously improve our AI agents and knowledge systems
Translate complex data into clear, actionable insights for leadership and cross-functional stakeholders
Develop and socialize dashboards, applications, and other ways of enabling the team and company to answer product data questions in a self-serve way
Contribute to establishing data science standards and best practices in an AI-native operations environment
Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization

Requirements

10+ years of experience in data science roles within product or technology organizations
Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies
Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation
Proven experience designing and interpreting experiments and making statistically sound recommendations
Experience building data systems or pipelines that power production workflows or ML-based decisioning
Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker
Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks
Ability to build relationships with diverse stakeholders and cultivate strong partnerships
Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact
Ability to operate effectively in a fast-moving, ambiguous environment with limited structure
Strong communication skills and the ability to translate complex data into stories for non-technical partners

Nice to have

Familiarity with large language models or AI-assisted operations platforms
Experience in operational automation or customer support analytics
Background in experimentation infrastructure or human-AI interaction systems

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
Offers Equity
Performance-related bonus(es) for eligible employees

OpenAI - All Job Offers

Select Country

Data Scientist

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Our AI answers in your language