Design the infrastructure to move, clean, and store data for analysis.
Build and maintain models for credit risk, fraud detection, user behavior, and portfolio performance
Data quality monitoring
Partner with Product, Finance, Engineering and Compliance to embed data into decision-making
Define and track core business, risk, and growth metrics
Design experiments and analyses to improve unit economics and customer outcomes
Ensure data quality, governance, and scalable analytics infrastructure
Mentor junior analysts and help establish data best practices

5+ years of experience in data science, analytics and applied machine learning
Strong background in fintech, lending, payments, or financial risk modeling preferred
Experience working with large datasets and production-level data pipelines
Ability to communicate insights clearly to technical and non-technical stakeholders
Experience supporting scale-phase decision-making in high-growth environments

Data Scientist

Key skills