Senior Product Data Scientist

The role

You will define experimentation and ML-driven insight to influence product evolution. You will design product experimentation programs and build ML models to drive decisions for PMs and engineering leads.

What you will do

• Design and lead product experimentation programs including A/B tests and causal inference
• Build and deploy ML models like GBMs, random forests, and logistic regression
• Partner cross-functionally with Product, Design, and Engineering
• Translate model outputs and experimental results into business narratives for senior stakeholders
• Establish best practices for experimentation and ML workflows

Required qualifications

• Senior Product Data Scientist or Senior Data Scientist title with 5–7 years of relevant experience
• Hands-on experience with product experimentation, A/B testing, causal inference, and statistical significance
• Python proficiency including scikit-learn and MLflow
• Experience building ML models (GBMs, random forest, linear/logistic regression)
• Background in B2B SaaS or B2C SaaS
• Strong cross-functional communication with PMs, engineers, and designers
• Executive presence to turn complex model output into business recommendations

Nice to have

• Experience with Databricks
• Familiarity with Amplitude or similar event analytics platforms

About the company

MaintainX is a mobile-first work execution platform for industrial and frontline teams. It became part of Autodesk in August 2026.