Senior Product Data Scientist

MaintainX as a Senior Product Data Scientist, where you'll define rigorous experimentation and ML-driven insights for our product. You'll design and lead product experimentation programs, build and deploy ML models, and partner cross-functionally with Product, Design, and Engineering. You'll also translate model outputs and experimental results into clear business narratives for senior stakeholders and executives, and establish best practices for experimentation and ML workflows.

Responsibilities

• Enjoy flexible time off, competitive salary and equity opportunities, comprehensive healthcare coverage, and training and development investments.
• 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.
• Python proficiency including scikit-learn and MLflow

Requirements

• Hands-on experience with product experimentation — A/B testing, causal inference, statistical significance

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
• Senior Product Data Scientist or Senior Data Scientist title with 5–7 years of relevant experience

Preferred

• Experience building ML models (GBMs, random forest, linear/logistic regression)
• Experience with Databricks
• Familiarity with Amplitude or similar event analytics platforms