Senior Data Modeler, Fraud Risk Detection; Fully Remote

• Work with senior data scientists to translate fraud questions into testable hypotheses.
• Help build machine learning models for fraud detection across account opening and identity risk.
• Partner with the score monitoring team to support model and feature monitoring.

Qualifications:

• 1+ years in data science or related quantitative field with a degree in computer science, statistics, or engineering.
• Foundation in supervised learning, model evaluation, and feature selection.
• Proficiency in Python and tools like pandas, Num Py, and scikit-learn.

What You'll Do:

• Explore complex datasets to identify fraud patterns and behavioral signals.
• Evaluate models using technical and business metrics like precision and recall.
• Help prepare analyses and communicate findings to both technical and nontechnical audiences.
• Great compensation package and bonus plan.
• Core benefits including medical, dental, vision, and matching 401K.
• Flexible time off including volunteer time off, vacation, sick, and 12-paid holidays.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries, with a people-first, inclusive and purpose-driven culture.