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Director, Predictive Modeling and Machine Learning @ Credit Acceptance

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About this role

Director, Predictive Modeling and Machine Learning at Credit Acceptance. Location: United States. Role: defining roadmap, leading initiatives, overseeing models Requirements: Ph.D. or Master’s in a quantitative discipline, 10+ years in predictive modeling/ML, 6+ years leading strategic initiatives, expertise in credit risk modeling, proficiency in Python, SQL, R, SAS, cloud and model lifecycle management, regulatory experience. Category: Data and Analytics Seniority: Senior Level Tools: Python, SQL, R, SAS, AWS, Azure, GCP, MLflow, Kubeflow Commitment: Full Time Workplace: Remote Languages: English

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