Data Scientist, ChatGPT for Work

at OpenAI
USD 293,000-515,000 per year
SENIOR
✅ Hybrid
✅ Relocation

Used Tools & Technologies

Not specified

Required Skills & Competences

Security @ 3 Python @ 7 SQL @ 7 Data Science @ 4 Leadership @ 6 Communication @ 4 Experimentation @ 4 ChatGPT @ 4 AI @ 4

Details

OpenAI’s ChatGPT for Work builds an AI-native workspace where AI acts as a superassistant for everyday tasks and a coworker you can hand work off to, then review, edit, and approve with confidence. The Data Scientist for ChatGPT for Work shapes product strategy through data: uncovering user problems, forming hypotheses that move team and business outcomes, and influencing what gets built next. This role partners closely with Product, Engineering, Research, and Finance to ensure metrics are trusted, experimentation is rigorous, and insights turn into shipped improvements.

This role is based in San Francisco. OpenAI uses a hybrid work model of three days in the office per week and offers relocation assistance to new employees.

Responsibilities

  • Own the core KPI framework for ChatGPT for Work, spanning onboarding, activation, engagement, retention, expansion, and quality/trust guardrails.
  • Build end-to-end funnels to identify where individuals and teams succeed or get stuck (from first workspace setup through repeat usage and long-term team adoption and value creation).
  • Define and operationalize "time-to-value" and collaboration loop metrics, and connect them to business outcomes.
  • Design and evaluate experiments and rollouts to quantify the impact of product changes across key Work surfaces and flows.
  • Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.
  • Translate complex analysis into clear, compelling insights that shape product strategy and roadmap decisions.
  • Help establish data science standards and best practices for measuring human–AI collaboration and AI-native work outcomes.
  • Partner with other data scientists across the company to share learnings and raise the bar on measurement, experimentation, and decision-making.

Requirements

  • 10+ years in data science / analytics in high-velocity product environments.
  • Direct experience working on B2B products (SaaS, collaboration/workspace, developer tools, or enterprise).
  • Expert SQL and strong Python skills.
  • Strong experimentation and causal inference judgment, including when clean A/B tests aren’t feasible.
  • Strong product sense/taste: ability to turn messy signals into crisp hypotheses and roadmap direction.
  • Proven ability to inspire and influence PM/Engineering/Design and leadership through data storytelling.
  • Autonomous operator who sets the insights/measurement agenda.
  • Excellent executive communication and comfort in ambiguous, fast-moving environments.
  • AI-native operator (non-negotiable): first to adopt new AI tools, uses them daily to increase throughput, and turns them into durable org workflows.

Nice-to-haves

  • Experience with agentic and/or AI-native B2B products (agents, copilots, workflow automation, AI collaboration).
  • Experience measuring AI product quality, trust, and human–AI interaction signals.
  • Familiarity with enterprise admin/security constraints and how they shape adoption.
  • Experience with B2B PLG growth loops and monetization/seat expansion dynamics.

Why it matters

Work is a major place AI can improve people’s lives. If ChatGPT for Work succeeds, teams will spend less time on busywork and coordination and more time on meaningful, high-leverage work. This role determines how we measure, learn, and iterate to make AI a trusted superassistant and coworker at scale.

About the Team

OpenAI’s mission is to ensure AI benefits all of humanity. ChatGPT for Work helps more people access leverage from AI in day-to-day jobs while grounding experiences in the right company context and systems safely and reliably.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety and human needs when building and deploying AI systems and is an equal opportunity employer. Background checks and reasonable accommodations for applicants with disabilities are mentioned in the posting.

Benefits

  • Base pay range listed for the role; total compensation also includes equity and potential performance-related bonuses.
  • Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents) and paid medical/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 coordinated office closures; paid sick or safe time as required by 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 (charitable donation matching, wellness stipends) may be provided.