A leading recruitment firm is seeking an Associate Fraud Risk Data Scientist in San Jose to design and develop machine learning models to detect and mitigate fraud. This hybrid role requires 2-6 years of experience with machine learning and AI, along with strong proficiency in SQL, Python, and data visualization tools like Tableau. The ideal candidate will work closely with cross-functional teams to implement data-driven AI solutions and make impactful business recommendations to stakeholders.
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