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Fraud Data Scientist
Job Summary
A company is looking for a Fraud Data Scientist, Graph Analytics & Threat Intelligence.
Key Responsibilities
- Design and productionize graph-based analytics pipelines for fraud detection
- Lead the development of Generative AI tools to support fraud investigations
- Collaborate with internal teams and law enforcement on fraud-ring takedowns
Required Qualifications
- Master's or Ph.D. in Data Science, Computer Science, Applied Math, or related field
- Expertise in fraud or security analytics, particularly with graph methods
- Proficiency in Python, SQL, and graph frameworks
- Strong data engineering skills for building ETL pipelines and managing datasets
- Experience with MLOps frameworks and Generative AI solutions in an enterprise setting
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COMPLETE JOB DESCRIPTION
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