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Entry-level data scientist developing machine learning models and analytical methods to detect fraud, assess risk, and uncover patterns in large transactional datasets. Requires a master’s degree, strong Python and SQL skills, and knowledge of supervised and unsupervised learning.
Hands-on Data Scientist building pre-built fraud detection models and AI strategies for real-time payments and AML solutions. Requires MS degree, 1+ year experience, Python/SQL proficiency, and statistical modeling skills.