> Markdown version of [/jobs/ext/3975832-director-predictive-modeling-and-machine-learning](https://www.wearedevelopers.com/jobs/ext/3975832-director-predictive-modeling-and-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Predictive Modeling and Machine Learning - **Company:** Credit Acceptance Corporation - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $205,561.0 - $301,490.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Engineering, Python (Programming Language), Machine Learning, SAS (Software), SQL Databases, Google Cloud, Data Strategy, Kubernetes, Statistics Packages, Machine Learning Operations - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/director-predictive-modeling-and-machine-learning--c60bdd39-09fd-48fd-87d4-7e0f3cc25830 ## About the Role Predictive Modeling, Machine Learning, Automotive Financing, Continuous Improvement, Emerging Technology, Business Support, Credit Risk, Mentoring, Leadership, Credit and Collections, * Bachelor's in a quantitative discipline * 10+ years of experience in predictive modeling and machine learning * 6+ years of experience leading strategic initiatives or mentoring senior-level peers * Deep expertise in credit risk modeling and ML techniques * Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS) * Strong understanding of cloud architecture and model lifecycle management * Proven ability to influence senior stakeholders * Experience with regulatory compliance in financial services Preferred: * Ph.D. or Master's in a quantitative discipline * Experience in auto finance or consumer lending * Expertise with cloud platforms (AWS, Azure, GCP, etc.) and MLOps tools (MLflow, Kubeflow, etc.), Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. ## Description Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Director is a strategic, senior-level individual contributor who defines and drives the modeling strategy across credit risk, servicing, and collections. This role combines deep technical expertise with business acumen and cross-functional influence. While not initially a people manager, the Director may lead initiatives and mentor others, with potential to transition into formal leadership. Outcomes and Activities * Define and execute the strategic roadmap for predictive modeling and machine learning * Lead cross-functional initiatives integrating analytics into business processes * Oversee development, deployment, and monitoring of high-impact models * Serve as a strategic advisor to senior leadership on data strategy and innovation * Represent Predictive Analytics in regulatory, audit, and governance forums * Foster partnerships across the organization, To be successful in this role, Team Members need to be: * Positive by maintaining resiliency and focusing on solutions * Respectful by collaborating and actively listening * Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions * Direct by effectively communicating and conveying courage * Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: * Remain compliant with our policies processes and legal guidelines * All other duties as assigned * Attendance as required by department Advice!