Senior Product Data Scientist

📋 Description

• Design and lead product experiments (A/B tests, causal inference) to boost product adoption and retention.
• Build and deploy ML models (GBMs, random forests, logistic regression) to guide product decisions.
• Partner with Product, Design, and Engineering to frame problems as data challenges.
• Translate model outputs into clear business narratives for executives.
• Establish best practices for experimentation and ML workflows.

🎯 Requirements

• 5–7 years of relevant experience as Senior Product Data Scientist or Senior Data Scientist.
• Hands-on product experimentation (A/B testing, causal inference, significance).
• Python proficiency with scikit-learn and MLflow.
• Experience building ML models (GBMs, random forests, linear/logistic regression).
• Background in B2B SaaS or B2C SaaS.
• Strong cross-functional communication with PMs, engineers, and designers.

🎁 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.