Senior Product Data Scientist

• We’re hiring a Senior Product Data Scientist to join our Product Analytics team. You’ll be the first dedicated Data Scientist on a team that has operated as a product analytics function — meaning you’ll define what rigorous experimentation and ML-driven insight looks like at MaintainX, and directly influence how our product evolves
• 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

• Flexible time off
• Competitive salary and equity opportunities
• Training and development investments
• Comprehensive healthcare coverage

Python proficiency including scikit-learn and MLflow

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

Background in B2B SaaS or B2C SaaSStrong 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

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