Data Scientist developing network - based financial - crime detection for TD Bank. Building models, visualizations, and decision - support tools to prioritize high - risk customer connections.
About the role
- Senior Product Data Scientist defining and leading product experimentation and ML insights at MaintainX. Collaborating with cross-functional teams to improve product adoption and retention.
Responsibilities
- 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
Requirements
- 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.
Benefits
- 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
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