Senior Data Scientist, Product Analytics
Core
Drive product performance and strategic decisions by analyzing product usage, user behavior, and performance metrics to optimize the user experience and digital thread.
Role type
Senior IC Product Data Scientist (Analytics & Experimentation)
Builds
Product features, experimentation frameworks, and KPI dashboards for a digital manufacturing marketplace and embedded CAD/PLM integrations.
Domain
Manufacturing technology, B2B SaaS, CAD/PLM, and digital manufacturing.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Statistical modeling, A/B test design and analysis, causal inference methods, SQL, data visualization, KPI definition, cross-system data integration, identity resolution, low-volume cohort analysis.
Preferred skills
Python, Looker, multi-surface/partner-integration analytics, CAD/PLM/manufacturing domain fluency, quasi-experimental design.
Technologies
SQL, Python, Looker, A/B testing platforms, statistical analysis tools.
Responsibilities
Design and manage A/B tests and causal experiments; define metric frameworks and success metrics for embedded partner integrations; develop and maintain dashboards for key metrics; collaborate with product managers, engineers, and partner teams to implement insights; ensure data accuracy across cross-system data flows.
Seniority
Senior, hands-on IC
