The Senior Analyst, Predictive Analytics and Machine Learning designs, develops, and maintains statistical and machine learning models that support high-impact business decisions across pricing, credit risk, and other areas. This role is a hands-on, advanced individual contributor position focused on rigorous analysis, model development, and production performance monitoring, with strong partnership across business and technical stakeholders.
Outcomes and Activities:- This position will work from home; occasional planned travel to our Southfield, Michigan office may be required. However, this position is permitted to work at our Southfield, Michigan office if requested by the team member.
- Develop and maintain complex statistical and machine learning models that optimize high-volume, data-driven decisions and deliver measurable business value.
- Actively monitor models in production, identify performance degradation or data issues, and recommend corrective actions or enhancements.
- Develop complex SQL and analytical code to extract, transform, and validate large, multi-source datasets used for modeling, reporting, and decision support.
- Perform ad hoc and exploratory analyses to address business questions, evaluate trade-offs, and inform policy or strategy decisions.
- Translate high-level business objectives into analytical tasks, technical specifications, and modeling approaches.
- Ensure data quality, consistency, and suitability for modeling; support testing, validation, and implementation activities required for production deployment.
Requirements:- Bachelor's degree or higher in a quantitative field (e.g., statistics, mathematics, economics, engineering, computer science, or related discipline).
- 3+ years of experience applying analytical and programming skills in a business or research environment.
- Proficiency in one or more analytical and programming languages such as Python, SQL, R, or SAS.
- Strong analytical problem-solving skills with the ability to apply quantitative methods creatively to business problems.
- Expertise in extracting, manipulating, and analyzing large-scale datasets.
Preferred:- Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).
- Experience developing or supporting predictive models such as credit scorecards, pricing models, or collections strategies.
- Experience in financial services analytics or a related regulated, data-intensive industry.
- Familiarity with model performance monitoring, validation concepts, and production analytics.
Targeted Compensation: $128,000 - $165,000 base salary + an annual bonus plan
This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.
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Benefits- Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work
Our Company Values: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
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