Senior Data Scientist
Core
Design, build, and deploy predictive models and statistical frameworks to inform customer acquisition, conversion, retention, and lifetime value strategies.
Role type
Senior IC data scientist (predictive modeling & experimentation)
Builds
Production ML models for churn, conversion, CLV, and segmentation; robust A/B and multivariate test infrastructure
Domain
Non-profit fundraising / charitable impact / digital platforms
Deliverable
production ML models
Required skills
supervised learning (classification, regression, survival analysis), gradient-boosted trees (XGBoost, LightGBM, CatBoost), experimental design (power analysis, sequential testing, multiple-comparison corrections), Python, R, SQL, causal inference (propensity score matching, uplift modeling), customer analytics (churn, CLV, cohort analysis)
Preferred skills
Bayesian approaches, ML pipeline deployment tooling, subscription/e-commerce/marketplace domain experience
Technologies
Python, R, Snowflake, BigQuery, Redshift
Responsibilities
Build and validate predictive models for churn, conversion, CLV, and segmentation; own statistical methodology for experimentation program; develop propensity and uplift models; write production-quality code and partner with Data Engineering; translate commercial questions into analytical problems; communicate model outputs and experiment results to stakeholders
Seniority
Senior, hands-on IC
