Product Data Scientist
San Francisco · New York · 5+ years experience · Full-time · Hybrid · Posted Oct 7, 2026
At a glance
- Experience
- 5+ years experience
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- San Francisco · New York
About Baseten
- Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
About the role
- Baseten is hiring a Product Data Scientist to establish how the company uses data to make product decisions in a newly formed Product function.
- This foundational, hands-on role involves turning open-ended questions into analyses, forecasts, and experiments to shape product strategy.
- The role collaborates directly with founders, Product, Engineering, and GTM teams to work with clickstream, inference telemetry, and observability data.
Responsibilities
- Partner with Product and Engineering to frame questions, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions.
- Define product success metrics across activation, adoption, retention, expansion, reliability, and user experience.
- Design measurement plans for launches, analyze A/B experiments and controlled rollouts, and translate results into product decisions.
- Map the enterprise customer journey and measure feature adoption at each stage.
- Evaluate releases and recovery by measuring traffic shifts, analyzing warm-up, drain, probe, and rollback behavior, and tracking MTTR and self-serve incident outcomes.
- Analyze customer and cohort behavior and share clear recommendations.
- Build source-of-truth reporting and self-serve tools that teams across Baseten can rely on.
Requirements
- 5+ years of experience in product data science, product analytics, or another quantitative role, ideally supporting developer platforms, APIs, or B2B products.
- Deep SQL and Python fluency, with a track record of analyzing large event-level datasets and producing decision-ready work.
- Strong statistical judgment and hands-on experimentation experience, including test design, power analysis, and knowing when directional evidence is enough to act on.
- Hands-on forecasting experience with ARIMA, Prophet, or comparable time-series methods, including disciplined backtesting, error analysis, and scenario planning.
- Experience designing medallion data architectures, including raw, conformed, and business-ready models with testing, documentation, and lineage.
- Familiarity with dbt, semantic layers, data ontology, and BI tools such as Sigma or Hex.
Preferred qualifications
- Experience with AI/ML infrastructure, model serving, GPU systems, or observability for distributed systems.
- Experience with usage-based pricing, APIs, platform unit economics, capacity planning, or enterprise product analytics.
- Experience with model-serving frameworks and inference engines such as vLLM, SGLang, and Dynamo.
Benefits
- Competitive compensation, including meaningful equity
- 100% coverage of medical, dental, and vision insurance for employee and dependents (U.S. only)
- Flexible PTO policy including company wide Winter Break
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Company-facilitated 401(k) (U.S. only)
- Exposure to a variety of ML startups
Skills
- SQL
- Python
- ARIMA
- Prophet
- Dbt
- Sigma
- Hex
- vLLM
- SGLang
- Dynamo
