Related skills
redshift aws snowflake sql pythonπ Description
- Contribute to the ML growth engine behind TIFIN AMP.
- Collaborate with senior data scientists, engineering, and customer success.
- Gain hands-on exposure across the full ML lifecycle in a finance AI setting.
- Participate in end-to-end model development for enterprise clients.
- Build feature pipelines across AUM, transactions, CRM, and third-party data.
- Work with AWS SageMaker, Redshift, S3 or Snowflake environments.
π― Requirements
- 1β2+ years of experience in data science, ML engineering, or related field.
- Foundational supervised learning knowledge; eager to deepen in production.
- Exposure to consumer behavior modeling, time-series, or lifecycle analytics is a plus.
- Proficiency in Python and SQL; familiarity with AWS or Snowflake is a bonus.
- Strong communication and a bias toward shipping measurable impact.
- Curiosity, humility, and a desire to learn fast in a collaborative, high-growth environment.
π Benefits
- Equity stake included.
- Health, dental, and vision coverage.
- Retirement benefits.
- Flexible PTO.
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