Senior Product Data Scientist
Hybrid · Miami, Florida, United States or Toronto, Ontario, Canada
Job Summary
Senior Product Data Scientist to lead product experimentation programs (A/B tests, causal inference) and build/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, translate model outputs and experimental results into clear business narratives for senior stakeholders, and establish best practices for experimentation and ML workflows.
Required Qualifications
- 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 forests, linear/logistic regression)
- Background in B2B SaaS or B2C SaaS
- Strong cross-functional communication — collaboration with PMs, engineers, and designers
- Executive presence: ability to translate model outputs into actionable business recommendations
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