Related skills
redshift aws snowflake sql s3📋 Description
- Own the full ML lifecycle: EDA, feature engineering, training, deployment
- Own end-to-end model implementation for enterprise clients
- Build feature pipelines across AUM, transactions, CRM, and third-party data
- Deploy models using AWS SageMaker, Redshift, S3, or Snowflake
- Design A/B tests and control frameworks to measure lift
- Translate model outputs into actionable intelligence for advisors
🎯 Requirements
- 4+ years shipping production ML systems
- Strong supervised learning experience
- Modeling consumer behavior, flows, or lifecycle dynamics
- Python, SQL, DBT; AWS or Snowflake experience
- Bias toward shipping measurable impact
🎁 Benefits
- Equity stake included
- Health, dental, and vision coverage
- Retirement benefits
- Flexible PTO
- Equal opportunity employer
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