Product Data Scientist (AI)

Location: Hybrid in San Francisco or New York, United States

Salary: $185,000–$240,000 per year, plus equity

Company

Baseten provides inference infrastructure, applied AI research, and developer tooling that help AI companies bring production models to market.

What you will do

• Partner with Product, Engineering, founders, and go-to-market teams to frame product questions and translate analysis into roadmap and prioritization decisions.
• Define success metrics for activation, adoption, retention, expansion, reliability, and user experience.
• Design launch measurement plans, analyze A/B experiments and controlled rollouts, and guide product decisions from the results.
• Map the enterprise customer journey and measure feature adoption across its stages.
• Evaluate releases and recovery through traffic shifts, warm-up, drain, probe, rollback, MTTR, and self-serve incident analysis.
• Build source-of-truth reporting and self-serve data tools for teams across the company.

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, including analysis of large event-level datasets.
• Strong statistical judgment and hands-on experimentation experience covering test design, power analysis, and interpretation of directional evidence.
• Forecasting experience with ARIMA, Prophet, or comparable time-series methods, including backtesting, error analysis, and scenario planning.
• Experience designing medallion data architectures with testing, documentation, and lineage.
• Familiarity with dbt, semantic layers, data ontology, and BI tools such as Sigma or Hex.

Nice to have

• Experience with AI/ML infrastructure, model serving, GPU systems, or distributed-systems observability.
• Experience with usage-based pricing, APIs, platform unit economics, capacity planning, or enterprise product analytics.
• Experience with vLLM, SGLang, Dynamo, or other model-serving frameworks and inference engines.

Culture & Benefits

• Competitive compensation with meaningful equity.
• Flexible PTO and a company-wide Winter Break from Christmas Eve through New Year's Day.
• Paid parental leave and a fertility and family-building stipend through Carrot.
• U.S.-only: Medical, dental, and vision insurance fully covered for employees and dependents.
• U.S.-only: Company-facilitated 401(k).
• Exposure to a range of ML startups and related learning and networking opportunities.