Mid-Level/Senior Analyst, Predictive Modeling and Machine Learning

Summary

Credit Acceptance is an award-winning company recognized across multiple workplace categories. The Analyst, Predictive Modeling & Machine Learning designs, develops, implements, and monitors statistical and machine learning models that support strategic business decisions across various functions.

Responsibilities

• 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

Skills

• 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. (Analyst)
• 3+ years of experience developing predictive models or performing advanced analytics in a business or research environment. (Senior Analyst)
• Experience applying statistical or machine learning techniques to solve analytical problems
• Proficiency in SQL and at least one analytical programming language such as Python, SAS, or R
• Strong analytical, problem-solving, and communication skills
• Graduate degree in a quantitative discipline
• Experience developing predictive models in financial services, consumer lending, or other data-intensive industries
• Exposure to deploying and monitoring predictive or machine learning models in production environments
• Familiarity with model governance, validation, and regulatory requirements

Qualifications

Must Haves

• 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. (Analyst)
• 3+ years of experience developing predictive models or performing advanced analytics in a business or research environment. (Senior Analyst)
• Experience applying statistical or machine learning techniques to solve analytical problems
• Proficiency in SQL and at least one analytical programming language such as Python, SAS, or R
• Strong analytical, problem-solving, and communication skills

Nice to Haves

• Graduate degree in a quantitative discipline
• Experience developing predictive models in financial services, consumer lending, or other data-intensive industries
• Exposure to deploying and monitoring predictive or machine learning models in production environments
• Familiarity with model governance, validation, and regulatory requirements

Benefits

• Excellent benefits package that includes 401(K) match
• Adoption assistance
• Parental leave
• Tuition reimbursement
• Comprehensive medical/ dental/vision
• Many nonstandard benefits that make us a Great Place to Work