
Job Overview
Location
USA - Remote
Job Type
Full-time
Category
Data Science
Date Posted
July 10, 2026
Full Job Description
📋 Description
- • Develop and support statistical and machine learning models that drive strategic business decisions and deliver measurable business value.
- • Develop analytical code and data processes to acquire, transform, validate, and analyze large datasets.
- • Translate business objectives into analytical solutions and communicate findings and recommendations to stakeholders.
- • Support model governance, testing, implementation, documentation, and ongoing performance monitoring.
- • Share technical knowledge and contribute to a collaborative analytics environment.
🎯 Requirements
- • Bachelor's degree or higher in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science, or another quantitative discipline.
- • 1+ years of experience developing predictive models or performing advanced analytics in a business or research environment.
- • Proficiency in SQL and at least one analytical programming language such as Python, SAS, or R.
🏖️ 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Credit Acceptance Corporation
Credit Acceptance Corporation is a Michigan-based auto finance company founded in 1972. It provides financing programs to automobile dealers that enable them to sell vehicles to consumers, regardless of credit history. The company purchases consumer loans originated by dealers under its Portfolio and Purchase Programs, then services these receivables. Credit Acceptance operates across the United States and reports financial results through its Consumer Loan segment. The company generates revenue primarily through interest and fees on its portfolio of automobile loans.
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