[Remote] Senior Analyst, Predictive Analytics and Machine Learning
Note: The job is a remote job and is open to candidates in USA. Credit Acceptance is an award-winning company known for its world-class culture and dedication to professional development. The Senior Analyst, Predictive Analytics and Machine Learning will design, develop, and maintain statistical and machine learning models to support high-impact business decisions across various areas.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- 401(K) match
- Adoption assistance
- Parental leave
- Tuition reimbursement
- Comprehensive medical/ dental/vision
- Many nonstandard benefits that make us a Great Place to Work
Company Overview