Senior Data Scientist, Retention & Product
Core
ML-focused Data Scientist owning retention and churn for a subscription food marketplace, predicting at-risk customers and powering interventions to keep them ordering.
Role type
Senior IC machine-learning engineer (retention & churn)
Builds
Production churn/survival models, personalized win-back experiences, and offer optimization systems for a subscription food delivery platform.
Domain
Food-tech / Consumer subscription marketplace
Deliverable
production ML models
Required skills
churn prediction, survival/time-to-event modeling, lifecycle-state modeling, uplift/incrementality measurement, A/B testing, end-to-end MLOps, Python (pandas, scikit-learn, gradient boosting), SQL
Preferred skills
Hidden Markov models, causal inference libraries (EconML), survival-modeling packages, recommender systems/embeddings for personalization
Technologies
Python, pandas, scikit-learn, gradient boosting, SQL, CI/CD, containerization, orchestration
Responsibilities
Build churn/survival models to flag at-risk customers; develop propensity models for win-back campaigns; optimize offers and promos to maximize retained revenue; design experiments to measure incremental impact of interventions; own the full model lifecycle including monitoring and retraining; collaborate with Product, CRM, and Marketing to turn models into decisions.
Seniority
Senior, hands-on IC
