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Machine Learning, Predictive Modeling -WFH

TorentifyDenver, COL7 ManagerSeptember 23rd, 2026
# Manager of Predictive Modeling & Machine Learning## About the RoleCredit Acceptance is seeking a **Manager of Predictive Modeling & Machine Learning** to lead the development and deployment of statistical and machine learning models that support strategic decision-making across credit risk, collections, and business operations. Credit Acceptance provides vehicle financing solutions through a nationwide network of automobile dealers.This role combines traditional predictive modeling with modern machine learning techniques and MLOps practices. The successful candidate will be an expert-level, hands-on modeler with strong technical skills, business acumen, leadership experience, and the ability to communicate insights to senior and cross-functional stakeholders.## Key Responsibilities* Lead the design and deployment of predictive models for credit risk, collections, and business operations.* Apply advanced machine learning techniques, including ensemble models, deep learning, and natural language processing (NLP).* Mentor and support junior and peer-level data scientists.* Promote the adoption of modern data science tools and platforms.* Present analytical insights and modeling results to senior and cross-functional stakeholders.* Drive experimentation with emerging techniques such as causal inference and Generative AI (GenAI).* Lead cross-functional initiatives related to predictive modeling, machine learning, and analytics.* Develop and maintain machine learning models in production environments.* Support continuous improvement and adoption of modern data science and MLOps practices.## Required Qualifications* Bachelor's degree in a quantitative discipline.* 5+ years of experience in predictive modeling and analytics.* 5+ years of experience applying machine learning in production environments.* Demonstrated leadership in cross-functional initiatives.* Advanced proficiency in **Python, SQL, and statistical tools such as R or SAS**.* Strong communication and stakeholder management skills.## Preferred Qualifications* Master's degree or Ph.D. in a quantitative discipline.* Experience with model governance, model explainability, and responsible AI.* Experience in consumer lending.## Skills & Competencies* Predictive Modeling* Machine Learning* Statistical Modeling* Machine Learning in Production* MLOps* Python* SQL* R and/or SAS* Ensemble Modeling* Deep Learning* Natural Language Processing (NLP)* Causal Inference* Generative AI* Data Science* Model Governance and Explainability* Cross-Functional Leadership* Stakeholder Management* Business Acumen* Technical Communication* Mentoring and Team Development## Education & Experience**Education — Required*** Bachelor's degree in a quantitative discipline.**Education — Preferred*** Master's degree or Ph.D. in a quantitative discipline.**Experience — Required*** 5+ years of experience in predictive modeling and analytics.* 5+ years of experience applying machine learning in