Principal Data Scientist, ML & AI model development

What you'll do

• Prepare, preprocess, and validate consumer data for the Ally Auto Finance business.
• Build and test predictive ML and GenAI models for account management and consumer risk.
• Apply advanced modeling techniques including regression, clustering, and tree-based algorithms.
• Analyze large account-level datasets using Snowflake SQL and Python to identify risk indicators.
• Support customer segmentation and strategy optimization to advance servicing analytics.
• Facilitate data projects with third-party vendors under regulatory and compliance rules.
• Coordinate with Model Risk Management for model development, validation, and performance monitoring.

What we're looking for

• Relevant experience in analytics, data science, or quantitative modeling.
• Bachelor’s degree in Business, Finance, Operations Research, Statistics, Economics, or a Quantitative/Technical Discipline.
• Strong SQL and Python programming skills are required for analyzing massive account-level datasets.
• Experience with machine learning techniques including regression, clustering, tree-based algorithms, and GBM (preferred).
• Experience in loan-level predictive data mining for the consumer finance industry (preferred).
• Master's degree or PhD in a quantitative field (preferred).
• Deep expertise in statistics, exploratory data analysis, and establishing operational performance monitoring for deployed models (preferred).
• Solid written and verbal communication skills to present data analytics results to internal and external stakeholders (preferred).