Product Data Scientist — AI Platform & Experimentation

Rozgoo; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Equity

Medical/Dental/Vision coverage

Flexible PTO

Parental leave

Fertility stipend

Learning and networking opportunities

Job summary

Baseten is hiring a Product Data Scientist to determine how product decisions are made with data. You will work with Product and Engineering, plus GTM, to define measurement, strategy, experiments, and implementation.

This foundational role turns ambiguous questions into analyses, forecasts, and experiments guiding product strategy. You will analyze clickstream, product events, telemetry, and observability data to inform reliability, performance, adoption and developer experience decisions

Qualifications

• 5+ years in product data science or quantitative roles.
• Deep SQL and Python fluency with large event datasets.
• Strong statistical judgment and practical experimentation.
• Forecasting with ARIMA/Prophet; backtesting and scenario planning.
• Experience designing medallion data architectures with testing and lineage.
• Familiarity with dbt and BI tools such as Sigma/Hex.

Responsibilities

• Partner with Product and Engineering to frame questions and set success criteria.
• Define how product success is measured across activation, adoption, retention and UX.
• Support experimentation and launches with measurement plans and analyses.
• Diagnose reliability and scaling using telemetry data to identify bottlenecks.
• Define enterprise journey and measure feature adoption and releases.
• Turn insights into actionable reporting and self-serve tools.

Skills

SQL

Python

Statistics

Experimentation

Forecasting

Data storytelling

Tools

dbt

Sigma

Hex

BI tools

Job description

Baseten is hiring a Product Data Scientist to determine how product decisions are made with data. You will work with Product and Engineering, plus GTM, to define measurement, strategy, experiments, and implementation.

This foundational role turns ambiguous questions into analyses, forecasts, and experiments guiding product strategy. You will analyze clickstream, product events, telemetry, and observability data to inform reliability, performance, adoption and developer experience decisions