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snowflake sql python clustering supervised_classification📋 Description
- Own the model lifecycle from label definition through deployment.
- Build and extend the feature store across identity and behavioral data signals.
- Design detection systems from rules to production decisions.
- Move fast with AI tools to prototype pipelines and automate workflows.
- Partner with Ops and Engineering to close the loop between model output and real-world actions.
🎯 Requirements
- 5–8 years in Data Science or ML with a fraud model shipped end to end.
- Proficiency with AI coding assistants for rapid SQL/Python development.
- Deep feature engineering instinct for signals in behavioral data.
- Expert SQL and Python; large-scale data pipelines in Snowflake.
- Experience with unsupervised methods and supervised classification; marketplace experience a plus.
- Clear, direct communication; explain model tradeoffs to ops and debug Snowflake queries.
🎁 Benefits
- Comprehensive health, dental and vision coverage.
- Retirement benefits.
- Learning and development stipend.
- Generous PTO.
- Commuter stipend where eligible.
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