About this role
Data Scientist - Fraud Prevention & Risk Analytics at Upbound. Location: Draper, Utah, United States. Role: developing models, engineering features, monitoring trends Requirements: Bachelor's in a quantitative field, 5+ years Python (NumPy, Pandas, Scikit-learn, XGBoost), 2+ years SQL, experience in fraud prevention/detection and fraud platforms, strong problem solving and communication. Category: Data and Analytics Seniority: Senior Level Tools: Python, NumPy, Pandas, Scikit-learn, XGBoost, SQL, Kount, CyberSource Decision Manager, Signifyd, LinkedIn Learning Commitment: Full Time Workplace: Onsite Languages: English