What You'll Do ::

Data Science & Modeling

• 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
• Contribute to model versioning and rep...