MaintainX - Senior Product Data Scientist
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Requirements
• Must-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
Benefits
• Competitive base + equity in a high-growth, post-Series D company • Day-1 benefits coverage — health, dental, vision • $500 home office stipend · $1K annual L&D budget • Hybrid hubs in Montreal, Toronto, Raleigh, Miami, and Bay Area • How We Work • We 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.
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