Senior Data Science Consultant, Cards and Personal Loans Decision Sciences

What you'll do

• Support machine learning models for Cards and Personal Loans products by completing assigned analyses and lifecycle activities.
• Translate business requirements into technical tasks and measurable analytical deliverables.
• Prepare data and features for modeling consumption using established methods and standards.
• Evaluate internal and external data sources for quality, relevance, stability, and suitability.
• Conduct exploratory analysis of new data sources and summarize findings for modeling recommendations.
• Monitor and analyze model performance to investigate trends and escalate material findings.
• Prepare reproducible code, documentation, and quality-control evidence in accordance with model governance.
• Communicate analytical methods, findings, risks, and recommendations clearly to technical and nontechnical partners.

What we're looking for

• 4+ years of data science experience or equivalent demonstrated through work, training, military experience, or education.
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
• Experience in consumer lending analytics, with a preference for Personal Loans or Cards products (preferred).
• Proficiency with SQL and Python for data preparation, analysis, feature development, and testing (preferred).
• Experience supporting machine learning models for consumer lending use cases (preferred).
• Working knowledge of supervised learning methods, model evaluation techniques, feature engineering, and common performance metrics (preferred).
• Working knowledge of data quality, model development practices, model governance, testing, and controls (preferred).
• Experience using GitHub Copilot or similar approved tools to support coding and documentation (preferred).