{"schemaVersion":"jobsearcher.job.v1","id":"00fb7caaa8179dfc71e372cc","url":"https://jobsearcher.com/jobs/00fb7caaa8179dfc71e372cc","canonicalUrl":"https://jobsearcher.com/jobs/00fb7caaa8179dfc71e372cc","title":"Senior Analyst, Predictive Analytics and Machine Learning","description":"Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country.\nOur 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!\nThe 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.\nOutcomes and Activities:\nThis 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.\nDevelop and maintain complex statistical and machine learning models that optimize high‑volume, data‑driven decisions and deliver measurable business value.\nActively monitor models in production, identify performance degradation or data issues, and recommend corrective actions or enhancements.\nDevelop complex SQL and analytical code to extract, transform, and validate large, multi‑source datasets used for modeling, reporting, and decision support.\nPerform ad hoc and exploratory analyses to address business questions, evaluate trade‑offs, and inform policy or strategy decisions.\nTranslate high‑level business objectives into analytical tasks, technical specifications, and modeling approaches.\nEnsure data quality, consistency, and suitability for modeling; support testing, validation, and implementation activities required for production deployment.\nRequirements:\nBachelor’s degree or higher in a quantitative field (e.g., statistics, mathematics, economics, engineering, computer science, or related discipline).\n3+ years of experience applying analytical and programming skills in a business or research environment.\nProficiency in one or more analytical and programming languages such as Python, SQL, R, or SAS.\nStrong analytical problem‑solving skills with the ability to apply quantitative methods creatively to business problems.\nExpertise in extracting, manipulating, and analyzing large‑scale datasets.\nPreferred:\nAdvanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).\nExperience developing or supporting predictive models such as credit scorecards, pricing models, or collections strategies.\nExperience in financial services analytics or a related regulated, data‑intensive industry.\nFamiliarity with model performance monitoring, validation concepts, and production analytics.\nTargeted Compensation: $128,000 - $165,000 base salary + an annual bonus plan\nThis 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.\n#LI-Remote\n#zip\nINDCSLP\nBenefits\nExcellent 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\nOur Company Values:\nTo be successful in this role, Team Members need to be:\nPositive by maintaining resiliency and focusing on solutions\nRespectful by collaborating and actively listening\nInsightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions\nDirect by effectively communicating and conveying courage\nEarnest by taking accountability, applying feedback and effectively planning and priority setting\nExpectations:\nRemain compliant with our policies processes and legal guidelines\nAll other duties as assigned\nAttendance as required by department\nAdvice !\nWe understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!\n\nP.S .\nWe have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk!\nRequired degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.\nCredit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.\nCalifornia Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.","company":"Credit Acceptance","rawCompany":"credit acceptance","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T15:56:44.653Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2041.00","title":"Credit Analysts","slug":"credit-analysts"},{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"}],"industries":[{"code":"522291","title":"Consumer Lending","slug":"consumer-lending"},{"code":"522390","title":"Other Activities Related to Credit Intermediation","slug":"other-activities-related-to-credit-intermediation"},{"code":"522299","title":"International, Secondary Market, and All Other Nondepository Credit Intermediation","slug":"international-secondary-market-and-all-other-nondepository-credit-intermediation"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Analyst, Predictive Analytics and Machine Learning","description":"Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country.\nOur 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!\nThe 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.\nOutcomes and Activities:\nThis 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.\nDevelop and maintain complex statistical and machine learning models that optimize high‑volume, data‑driven decisions and deliver measurable business value.\nActively monitor models in production, identify performance degradation or data issues, and recommend corrective actions or enhancements.\nDevelop complex SQL and analytical code to extract, transform, and validate large, multi‑source datasets used for modeling, reporting, and decision support.\nPerform ad hoc and exploratory analyses to address business questions, evaluate trade‑offs, and inform policy or strategy decisions.\nTranslate high‑level business objectives into analytical tasks, technical specifications, and modeling approaches.\nEnsure data quality, consistency, and suitability for modeling; support testing, validation, and implementation activities required for production deployment.\nRequirements:\nBachelor’s degree or higher in a quantitative field (e.g., statistics, mathematics, economics, engineering, computer science, or related discipline).\n3+ years of experience applying analytical and programming skills in a business or research environment.\nProficiency in one or more analytical and programming languages such as Python, SQL, R, or SAS.\nStrong analytical problem‑solving skills with the ability to apply quantitative methods creatively to business problems.\nExpertise in extracting, manipulating, and analyzing large‑scale datasets.\nPreferred:\nAdvanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).\nExperience developing or supporting predictive models such as credit scorecards, pricing models, or collections strategies.\nExperience in financial services analytics or a related regulated, data‑intensive industry.\nFamiliarity with model performance monitoring, validation concepts, and production analytics.\nTargeted Compensation: $128,000 - $165,000 base salary + an annual bonus plan\nThis 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.\n#LI-Remote\n#zip\nINDCSLP\nBenefits\nExcellent 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\nOur Company Values:\nTo be successful in this role, Team Members need to be:\nPositive by maintaining resiliency and focusing on solutions\nRespectful by collaborating and actively listening\nInsightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions\nDirect by effectively communicating and conveying courage\nEarnest by taking accountability, applying feedback and effectively planning and priority setting\nExpectations:\nRemain compliant with our policies processes and legal guidelines\nAll other duties as assigned\nAttendance as required by department\nAdvice !\nWe understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!\n\nP.S .\nWe have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk!\nRequired degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.\nCredit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.\nCalifornia Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.","datePosted":"2026-08-04T15:56:44.653Z","dateModified":"2026-08-04T15:56:44.653Z","hiringOrganization":{"@type":"Organization","name":"Credit Acceptance","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"00fb7caaa8179dfc71e372cc"},"url":"https://jobsearcher.com/jobs/00fb7caaa8179dfc71e372cc"}}