Data Scientist, Platform and B2B Products

OpenAI
San Francisco
Workplace: HybridFull timeUSD 255,000 - 405,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Problem-solving","Analytical thinking","Cross-functional collaboration","Experimental design"]

Data Scientist on OpenAI’s Platform team collaborates with product, engineering and go-to-market to define metrics that matter for developer success and enterprise value. You’ll measure impact of models/features, improve quality, reliability, latency and cost, and shape how thousands of products adopt agentic AI, in a hybrid San Francisco role.

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FursaFursa
OpenAI
OpenAI
10 months ago

Data Scientist, Platform and B2B Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Data Scientist on OpenAI’s Platform team collaborates with product, engineering and go-to-market to define metrics that matter for developer success and enterprise value. You’ll measure impact of models/features, improve quality, reliability, latency and cost, and shape how thousands of products adopt agentic AI, in a hybrid San Francisco role.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth
  • •Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models
  • •Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products)
  • •Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams
  • •Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality)

Pay and Benefits

Salary: USD 255,000 - 405,000 annually
Equity and Bonus:Equity
Perks:RelocationHybrid Work

Key Requirements

  • •5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus)
  • •Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments
  • •Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety)
  • •Strong cross-functional communication with PMs, engineers, and executives
  • •Strategic instincts beyond p-values—clear thinking about tradeoffs and business impact
Experience:5+ yearsSaaSAIDeveloper tools
Skills:CommunicationProblem-solvingAnalytical thinkingCross-functional collaborationExperimental design
Languages:English
Tech Stack:SQLPythonA/B testingDashboardsData visualizationAPIsOpenAI API

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor