About the role

Senior Product Data Scientist defining and leading product experimentation and ML insights at MaintainX. Collaborating with cross-functional teams to improve product adoption and retention.

Responsibilities

Design and lead product experimentation programs (A/B tests, causal inference) that drive measurable improvements in product adoption and retention
Build and deploy ML models — GBMs, random forests, logistic regression — that turn product signals into actionable decisions for PMs and engineering leads
Partner cross-functionally with Product, Design, and Engineering to frame business problems as data problems and translate findings into decisions
Translate model outputs and experimental results into clear business narratives for senior stakeholders and executives
Establish best practices for experimentation and ML workflows

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, 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 — you've worked directly with PMs, engineers, and designers, not just a sales or finance audience
Executive presence: you can turn a complex model output into a business recommendation a VP can act on.