Fraud Data Scientist
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
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
