Data Scientist, Risk Operations – USDS

Data Scientist to drive operational maturity and technical innovation within the Payment Risk Operations team, responsible for AI-driven tools, workflow automation, chargeback and dispute strategy, and customer experience and sentiment analysis.

Requirements

• 3+ years in a data analytics role, specifically within Risk Analytics, Fraud Detection, or Trust and Safety
• Experience working with real time risk detection and automated enforcement systems
• Proficiency in Python (Pandas, Scikit-learn, LLM frameworks) and SQL for extracting insights from datasets
• Master’s degree in Business Analytics, Statistics, Computer Science, or a related quantitative field

Tagged as: Data Analysis, Python, SQL