Job Summary
A company is looking for a Senior Data Scientist specializing in Payments & Fraud.
Key Responsibilities
- Design and evaluate strategies to reduce fraud and abuse across various payment flows
- Develop and improve machine learning models to detect high-risk behavior while minimizing false positives
- Analyze data using A/B testing and causal inference to measure the effectiveness of fraud prevention interventions
Required Qualifications
- MS or PhD in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related quantitative field
- 5+ years of industry experience as a Data Scientist, focusing on payments, fraud detection, or risk mitigation
- Deep understanding of probability and statistics, including causal inference and experimental design
- Proficiency in SQL and Python, with experience in data querying, manipulation, analysis, and model deployment
- Strong understanding of predictive modeling and customer segmentation techniques
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