Staff Data Scientist
Core
Own the product modeling roadmap and contribute to marketing measurement by designing, building, and deploying production ML models for product experiences, coverage recommenders, user-to-channel routing, and agent assignment logic.
Role type
Staff Data Scientist (Product Modeling & Marketing Measurement)
Builds
Production ML models for coverage recommenders, user-to-channel routing, and agent assignment logic
Domain
Insurtech / Fintech
Deliverable
production ML models
Required skills
Supervised learning, Recommendation systems, Python (pymc, scikit-learn, XGBoost/LightGBM), SQL, Bayesian inference, Causal inference, Marketing mix modeling, dbt, MLflow
Preferred skills
Experience in insurtech/fintech, Recommender systems at scale, Uplift modeling, Instrumental variables, Feature stores
Responsibilities
Own end-to-end lifecycle of ML models powering product experiences, Engineer features and prototype experiments, Work with engineering and PMs to define model score consumption in real-time
Seniority
Staff, hands-on IC with mentorship