Job Description

Position: Data Scientist - Fraud Analytics

Location: Dallas, TX (Onsite)

Job Description:

• Overall 8+ years of experience required
• Looking for a Data Scientist with strong expertise in Fraud Analytics, Machine Learning, and AI-driven fraud detection solutions
• You will lead end-to-end fraud use case discovery, model development, feature engineering, and deployment of advanced fraud detection systems leveraging ML, Graph Analytics, and AI techniques.
• Identify predictive variables and build fraud feature catalogues.
• You should build and validate pilot fraud detection models
• Collaborate with engineering teams on low-latency scoring architectures.
• Drive model explainability, governance, and compliance initiatives.
• Support shadow runs and challenger model validation against existing systems.
• Strong analytical and problem-solving skills, with a proven track record of identifying and resolving complex billing issues.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

Looking forward for your reply.

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