Senior Data Modeler, Fraud Risk Detection

Job Description

• Remote, full-time Senior Data Modeler/Data Scientist role with Experian's Fraud Analytics & Commercialization organization.
• Build and evaluate fraud detection models for account opening, account takeover, and identity risk while minimizing legitimate-customer friction.
• Explore complex datasets, investigate fraud patterns and attack methods, develop features, and translate fraud questions into testable hypotheses.
• Use Python, pandas, NumPy, scikit-learn, PySpark, cloud platforms, Databricks, and Snowflake to create production-ready models and code.
• Requires 1+ years of experience in data science, machine learning, statistical modeling, or a related quantitative field, plus a bachelor's or advanced quantitative degree.
• Apply standards for data privacy, model documentation, explainability, validation, governance, and model/feature monitoring; compensation is undisclosed with variable pay eligibility.