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
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