Product Data Scientist: Platform Analytics & Experimentation

Candidate; San Francisco (CA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

US medical, dental, vision insurance

Winter Break PTO

Parental leave

Fertility stipend

401(k)

Job summary

Baseten is hiring a Product Data Scientist to shape how data informs product decisions. You will partner with founders, Product, and Engineering to define success metrics, measure usage, and run experiments on a data-driven platform.

The role emphasizes reliability, performance, adoption, and a strong emphasis on developer experience. You will work with clickstream, product events, and telemetry to guide roadmap, experiments, and strategic bets, building reporting and self-serve tools for

Qualifications

• 5+ years of experience in product data science, product analytics, or another quantitative role.
• 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.

Responsibilities

• Partner with Product and Engineering to frame the questions that matter, 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 turn the 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.

Skills

SQL

Python

Statistics

Experimentation

Time-series forecasting

Tools

dbt

Sigma

Hex

Job description

Baseten is hiring a Product Data Scientist to shape how data informs product decisions. You will partner with founders, Product, and Engineering to define success metrics, measure usage, and run experiments on a data-driven platform.

The role emphasizes reliability, performance, adoption, and a strong emphasis on developer experience. You will work with clickstream, product events, and telemetry to guide roadmap, experiments, and strategic bets, building reporting and self-serve tools for