Senior Product Data Scientist

MaintainX • Vancouver, BC

1d • Hybrid

About The Position

MaintainX is seeking a Senior Product Data Scientist to join their Product Analytics team. This role is crucial as the first dedicated Data Scientist on the team, responsible for defining rigorous experimentation and ML-driven insights, and directly influencing product evolution. The position involves designing and leading product experimentation programs, building and deploying ML models, partnering cross-functionally with Product, Design, and Engineering, translating findings into clear business narratives for senior stakeholders, and establishing 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

Nice To Haves

• Experience with Databricks
• Familiarity with Amplitude or similar event analytics platforms

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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed