The RoleWe'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
You HaveMust-haves:- 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
Nice-to-haves:- Experience with Databricks
- Familiarity with Amplitude or similar event analytics platforms
We Offer- Competitive base + equity in a high-growth, post-Series D company
- Day-1 benefits coverage - health, dental, vision
- Unlimited PTO
- $500 home office stipend • $1K annual L&D budget
- Hybrid hubs in Montreal, Toronto, Raleigh, Miami, and Bay Area
How We WorkWe reward output. We promote quickly when people deliver, and we have honest conversations early when fit isn't right. If you're energized by ambiguity, care about the people our platform serves, and want to do the most impactful data science work of your career - we'd love to talk.
