Develop and validate supervised learning models, including customer health scoring, churn prediction, upsell/cross-sell propensity, and lead scoring using Snowflake's ML platform capabilities.
Perform feature engineering within the Snowflake Feature Store, building reusable feature sets that serve multiple models.
Conduct exploratory data analysis and statistical validation to support modeling decisions and evaluate data readiness.
Write clean, maintainable Python code and contribute to shared libraries and internal tooling.
Work within our Snowflake data platform, writing SQL to explore, extract, and prepare data for modeling.
Deployment & Engineering
Support the operationalization of models from development through production deployment within the Snowflake stack