Product Data Scientist

Highlights

• Define how Baseten uses data to guide product decisions as a foundational hire.
• Partner directly with founders, Product and Engineering to shape strategy.
• Turn inference telemetry and product events into roadmap and launch calls.

What they offer

• Meaningful equity (U.S. only)
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company-wide Winter Break
• Paid parental leave
• Fertility and family-building stipend through Carrot (U.S. only)
• Company-facilitated 401(k)

Ideal candidate

A hands-on product data scientist with 5+ years supporting developer or B2B platforms who loves defining metrics from scratch and turning ambiguous questions into clear product decisions alongside founders and engineers.

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.