Senior Product Data Scientist
Core
Define rigorous experimentation and ML-driven insight frameworks to drive product adoption and retention for industrial frontline teams.
Role type
Senior Product Data Scientist (Product Analytics)
Builds
Production ML models and experimentation programs for a B2B SaaS platform
Domain
Industrial maintenance, asset management, B2B SaaS
Deliverable
production ML models | product features
Required skills
Product experimentation design (A/B testing, causal inference), Python (scikit-learn, MLflow), ML model building (GBMs, random forests, logistic regression), B2B/B2C SaaS domain knowledge, cross-functional partnership with Product/Engineering, executive communication
Preferred skills
Databricks, Amplitude or similar event analytics platforms
Technologies
Python, scikit-learn, MLflow, GBMs, random forests, logistic regression, Databricks, Amplitude
Responsibilities
Design and lead product experimentation programs (A/B tests, causal inference), Build and deploy ML models to turn product signals into actionable decisions, Partner cross-functionally to frame business problems as data problems, Translate model outputs into clear business narratives for senior stakeholders, Establish best practices for experimentation and ML workflows
Seniority
Senior, hands-on IC
