Data Scientist, Platform and B2B Products
Drive data-driven decisions for OpenAI's API and B2B platform by defining metrics, running A/B tests, building dashboards, and partnering with PMs and engineers to enhance developer experience and product impact. Requires 5+ years in quantitative roles with strong SQL/Python skills.
About the job
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).
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.
Nice-to-Haves
- Background in developer platforms, observability, or usage-based pricing/quotas.
- Experience connecting offline evals to online product impact.
- Prior work in NLP/LLMs or agentic systems, or in enterprise analytics for B2B products.
Skills
SQL, Python, A/B Testing, Dashboards, Metrics, LLMs, NLP, Observability, Experiments, Data Analysis
Similar jobs
Data Science jobs
OpenAI
San Francisco, CAThe Data Scientist will shape analytics strategy and deliver forecasting, experimentation, optimization, dashboards, models, and decision tools for Real Estate & Workplace operations. The role requires strong applied statistics, causal inference, SQL, Python, stakeholder communication, and comfort working with ambiguous operational data.
OpenAI
San Francisco, CAPeople Data Scientist focused on AI fairness and bias testing for People systems. Designs algorithmic audits, validation studies, and fairness infrastructure across the employee lifecycle. Requires deep expertise in fairness metrics, statistical modeling, and Python/R/SQL.
OpenAI
New York, NYThis senior data scientist will define measurement frameworks for AI-agent security, evaluate controls and security findings, and improve detection and response outcomes. The role requires 5+ years of quantitative experience, strong SQL and Python skills, and experience with cybersecurity or other adversarial-risk domains.
Watershed
San Francisco, CA
Develops scientifically rigorous sustainability methodologies that become product capabilities for corporate climate and ESG data. The role combines climate expertise, GHG accounting, standards interpretation, data reasoning, and hands-on collaboration with engineers and product teams.
Plaid
San Francisco, CASenior Data Scientist supporting Plaid’s Credit product area, translating ambiguous product questions into analytics, metrics, experiments, and strategic insights. The role partners closely with product and engineering teams and requires 5+ years of data science or related analytics experience.