Senior Product Data Scientist

Senior Product Data ScientistMaintainX is the world's leading AI-powered maintenance and asset management platform for industrial and frontline teams. We help over 13,000 customers — including Duracell, McDonald's, Shell, DHL, and Volvo — reduce unplanned downtime and run more efficient operations.In July 2025 we closed $150M Series D led by Bessemer Venture Partners, bringing our total funding to $254M at a $2.5B valuation. We were named to the 2025 Forbes Cloud 100 and ranked #1 in EAM and CMMS on G2's Summer 2025 report.The market we serve is changing fast: 68% of industrial companies have the same or more downtime than they did in 2024, and there are 3.8M unfilled manufacturing jobs projected through 2033.

Our work matters because real plants, real machines, and real frontline workers depend on it.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 retentionBuild and deploy ML models — GBMs, random forests, logistic regression — that turn product signals into actionable decisions for PMs and engineering leadsPartner cross-functionally with Product, Design, and Engineering to frame business problems as data problems and translate findings into decisionsTranslate model outputs and experimental results into clear business narratives for senior stakeholders and executivesEstablish best practices for experimentation and ML workflowsMust-haves:Senior Product Data Scientist or Senior Data Scientist title with 5–7 years of relevant experienceHands-on experience with product experimentation — A/B testing, causal inference, statistical significancePython proficiency including scikit-learn and MLflowExperience building ML models (GBMs, random forest, linear/logistic regression)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 audienceExecutive presence: you can turn a complex model output into a business recommendation a VP can act onNice-to-haves:Experience with DatabricksFamiliarity with Amplitude or similar event analytics platformsWe offer:Competitive base + equity in a high-growth, post-Series D companyDay-1 benefits coverage — health, dental, visionUnlimited PTO$500 home office stipend · $1K annual L&D budgetHybrid hubs in Montreal, Toronto, Raleigh, Miami, and Bay AreaWe 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.Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That's why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.MaintainX is committed to creating a diverse environment.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.