Senior Data Scientist

Job Description

ROLE OVERVIEW

As a Senior Data Scientist, you will build and deploy the ML growth engine behind TIFIN AMP — a production machine learning platform driving acquisition, expansion, retention, and distribution intelligence across wealth enterprises and asset managers. This is an individual contributor role with close collaboration with engineering and customer success.

PROJECTS

• Client Retention & Churn Prevention. Build early-warning models that detect signals of potential client attrition, allowing advisors to proactively intervene.
• Asset Consolidation. Develop predictive models that identify clients most likely to consolidate additional assets with the firm, enabling advisors to proactively deepen relationships and increase assets under management.
• Cross-Sell & Wallet Share Growth. Design models that identify the highest-propensity opportunities for additional products and services within existing client relationships.
• Advisor & Prospect Prioritization. Create scoring frameworks that rank advisors and prospects by growth potential, enabling sales teams to focus on the most impactful opportunities.
• Product–Advisor Matching. Develop models that predict product–advisor fit and likelihood of engagement, improving targeting and accelerating product adoption.

WHAT YOU’LL DO

• Own end to end model implementation for one or more enterprise clients
• Engineer large-scale feature pipelines across AUM, transactions, CRM, and third-party datasets
• Deploy models using AWS (SageMaker, Redshift, S3) and/or Snowflake
• Design 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

WHAT YOU’LL BRING

• 4+ years shipping production ML systems
• Strong supervised learning experience
• Experience modeling consumer behavior, flows, or lifecycle dynamics
• Python, SQL, DBT; AWS or Snowflake experience
• Bias toward shipping measurable impact

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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