Product Data Scientist — Data-Driven Impact, Equity & PTO

Baseten; San Francisco (CA); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Equity

US health coverage

Flexible PTO

Parental leave

401(k)

Learning opportunities

Job summary

Baseten is hiring a Product Data Scientist to shape how we use data to steer product decisions. You’ll partner with founders, Product, and Engineering to define success metrics, run experiments, and translate results into strategy.

This foundational role touches clickstream, events, telemetry, and observability data to improve reliability, adoption, and developer experience. You will define metrics, design experiments, and collaborate to build scalable reporting and self-serve analytics for

Qualifications

• 5+ years in product data science, analytics, or quantitative roles for developer platforms/B2B products.
• Fluent SQL and Python with large event-level data analysis experience.
• Strong statistical judgment with hands-on experimentation and design of tests.

Responsibilities

• Frame questions with Product/Engineering; translate analyses into roadmap and prioritization decisions.
• Define product success metrics across activation, adoption, retention, expansion, reliability, and UX.
• Design measurement plans for launches; analyze A/B tests and controlled rollouts; inform product decisions.
• Map enterprise customer journey and measure feature adoption at each stage.
• Evaluate releases and recovery by traffic shifts, warm-up, drain, probe, rollback; track MTTR and self-serve incidents.
• Analyze customer and cohort behavior; share clear recommendations.
• Build source-of-truth reporting and self-serve tools for teams across Baseten.

Skills

Product data science

SQL

Python

Experimentation

A/B testing

Time-series forecasting

dbt

BI tools (Sigma)

BI tools (Hex)

Tools

dbt

Sigma

Hex

Job description

Baseten is hiring a Product Data Scientist to shape how we use data to steer product decisions. You’ll partner with founders, Product, and Engineering to define success metrics, run experiments, and translate results into strategy.

This foundational role touches clickstream, events, telemetry, and observability data to improve reliability, adoption, and developer experience. You will define metrics, design experiments, and collaborate to build scalable reporting and self-serve analytics for