Job Summary:
TIFIN is a company that builds the AI operating layer for wealth, delivering workflows for financial institutions. They are seeking a Junior Data Scientist to contribute to their machine learning platform, focusing on client retention, asset consolidation, and cross-sell opportunities while collaborating with senior data scientists and engineering teams.
Responsibilities:
• Participate in the full ML lifecycle under senior guidance: EDA → feature engineering → training → validation → deployment → monitoring.
• Support end-to-end model implementation for one or more enterprise clients.
• Help engineer feature pipelines across AUM, transactions, CRM, and third-party datasets.
• Work with AWS (SageMaker, Redshift, S3) and/or Snowflake environments.
• Assist in designing A/B tests and control frameworks to measure lift in inflows and conversion.
• Translate model outputs into clear, actionable intelligence used daily by advisors and wholesalers.
Qualifications:
Required:
• 1–2+ years of experience in data science, ML engineering, or a related quantitative field (internships and academic projects count).
• Foundational supervised learning knowledge and eagerness to deepen it in production environments.
• Proficiency in Python and SQL; familiarity with AWS or Snowflake is a bonus.
• Strong communication skills and a bias toward shipping measurable, tangible impact.
• Curiosity, humility, and a desire to learn fast in a collaborative, high-growth environment.
Preferred:
• Exposure to consumer behavior modeling, time-series, or lifecycle analytics is a plus.
Company:
TIFIN is an AI platform that develops fintech solutions focused on tailoring investment experiences to individual needs. Founded in 2018, the company is headquartered in Boulder, USA, with a team of 51-200 employees. The company is currently Growth Stage.