Data Scientist, Business

at OpenAI
USD 255,000-405,000 per year
SENIOR
✅ Hybrid
✅ Relocation

Used Tools & Technologies

Not specified

Required Skills & Competences

Marketing @ 4 Python @ 6 SQL @ 4 Looker @ 4 R @ 6 Statistics @ 4 Tableau @ 4 ETL @ 4 Data Science @ 4 Hiring @ 4 Communication @ 7 Data Engineering @ 4 API @ 4 Experimentation @ 4 ChatGPT @ 4 AI @ 4

Details

The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships to support the sustained and impactful expansion of OpenAI's initiatives. The team partners with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth. This role focuses on driving customer success within OpenAI's business products (ChatGPT Team, ChatGPT Enterprise, and API). Typical projects include identifying intervention opportunities within a customer lifecycle to drive activation and onboarding, targeting audiences for feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement.

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 analysis to measure the incrementality of efforts to drive adoption/engagement.
  • Proactively surface insights and opportunities to drive engagement and growth.
  • Build tools and systems so stakeholders can self-serve routine data and insights, freeing time for higher-leverage analyses.
  • Become an expert in OpenAI’s data and systems; partner with Data Engineering, Finance, and other business teams to self-serve underlying data and derive insights.
  • Partner with other data scientists across the company to share knowledge and synthesize learnings.

Requirements

  • At least 7+ years of experience in Data Science roles within dynamic, outcome-driven organizations.
  • Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.
  • Proficiency in quantitative programming languages such as Python and R.
  • Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows.
  • Experience using business intelligence tools such as Mode, Tableau, and Looker.
  • Strategic, impact-driven mindset capable of translating complex business problems into actionable frameworks.
  • Ability to build relationships with diverse stakeholders and cultivate strong partnerships across functions.
  • Strong communication skills, including the ability to bridge technical and non-technical stakeholders.
  • Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making.
  • Attention to detail and commitment to accuracy.
  • Proven track record solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas.

Location & Work model

This role is based in San Francisco, CA. OpenAI uses a hybrid work model of 3 days in the office per week and offers relocation assistance to new employees.

Compensation & Benefits

  • Base pay range: $255K - $405K (total compensation may include equity and performance-related bonuses).
  • Benefits include medical, dental, and vision insurance with employer contributions to HSAs, pre-tax FSA accounts, 401(k) with employer match, paid parental and caregiver leave, PTO, paid holidays and office closures, mental health support, life and disability coverage, annual learning stipend, daily office meals and meal delivery credits where eligible, relocation support for eligible employees, and additional taxable fringe benefits such as donation matching and wellness stipends.

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, diverse perspectives, and inclusive hiring practices. Background checks and accommodation processes are described in the posting.