Analytics Engineer

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.

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