Product Data Scientist

What you'll do

• Define and maintain engagement metrics, product instrumentation, and trustworthy reporting.
• Analyze feature adoption, workflows, friction, and model usefulness; explain findings and recommend product actions.
• Build data pipelines and connect product usage with account, contract, pipeline, and revenue data to identify expansion, churn, and unmet needs.

What they ask for

• 8+ years of applied product or behavioral analytics, with examples of analyses that changed a product or business decision.
• Fluency in SQL and Python.
• Experience building and operating data pipelines against production databases and raw logs, using selected tools such as Spark or dbt.
• Experience instrumenting a product, communicating findings with recommendations, and protecting user privacy and confidentiality.

Nice to have

• Experience with technical or B2B products used by professionals doing expert work.
• Exposure to simulation, CAD, EDA, or other engineering software; experience joining usage data with CRM or revenue data.

Pay

$240K – $260K USD base salary

Tools

SQL, Python, Grafana, Spark, dbt

AI focus

Measure whether users find the model’s output useful in their workflow; the AI team owns model quality.