Data Scientist, Business

Details

The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships. The team partners with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth.

As a member of the Business Data Science team, you will help build a data-driven culture around insight generation, decision-making, and strategy at OpenAI. This role focuses on driving customer success for business products, including ChatGPT Team, ChatGPT Enterprise, and the API. Projects include identifying lifecycle interventions to improve activation and onboarding, identifying target audiences for new feature launches, and measuring the effectiveness of emails, events, and other interventions that drive ongoing engagement.

The role is based in San Francisco, California, or New York City, New York. It follows a hybrid work model with three days in the office per week.

Responsibilities

• Embed with the Customer Success organization as a trusted partner to uncover ways to drive customer adoption and engagement of business products.
• Establish key metrics, run experiments, and perform analyses to understand the incrementality of adoption and engagement initiatives.
• Proactively identify insights and opportunities to drive engagement and growth.
• Build tools and systems that enable stakeholders to self-serve routine data and insights, allowing more time for high-impact analyses.
• Become an expert in OpenAI's data and systems and self-serve underlying business data in partnership with Data Engineering, Finance, and other business teams.
• Partner with data scientists across the company to share knowledge and synthesize learnings across the organization.

Requirements

• At least 10 years of experience in data science roles within dynamic, outcome-driven organizations.
• Expertise in statistics and causal inference, including experimentation and observational causal inference studies.
• Proficiency in quantitative programming languages such as Python and R.
• Expertise in SQL, including extensive experience extracting large datasets and designing ETL workflows.
• Experience with business intelligence tools such as Mode, Tableau, and Looker.
• A strategic, impact-driven mindset and the ability to translate 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 functions.
• Ability to create clear data stories using presentations, memos, and dashboards to drive decision-making.
• Exceptional attention to detail and commitment to accuracy.
• Proven experience solving problems in Finance, Marketing, Partnerships, Sales, Support, or other go-to-market areas.

Benefits

• Base salary of $290,000–$441,000 per year, plus equity.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax FSA, dependent care, commuter, parking, and transit accounts.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.