Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
CA
Credit Acceptance
Senior Manager, Predictive Modeling and Machine L
Career Insights for Data Science Manager
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on national data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Science Manager manages a team of data scientists, machine learning engineers and big data specialists. They lead data mining and collection procedures, ensure data quality and integrity, build analytic systems and predictive models, and test the performance of data science products.
$157,234 / year median in the U.S.
+19% projected growth
Job 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. Our 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! This role leads complex modeling initiatives and drives innovation in machine learning and data science. The Senior Manager designs and deploys advanced statistical and ML models that inform strategic decisions across credit risk, collections, and operations. While formal people management may not be required, the role demands strong leadership, deep technical expertise, mentorship, and business acumen to elevate the organization's analytics capabilities. Outcome 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.
Lead the design and deployment of predictive models for credit risk, collections, and operationsIntegrate advanced ML techniques (e.g., ensemble models, deep learning, NLP)Mentor and support junior and peer-level data scientistsPromote adoption of modern data science tools and platformsPresent insights to senior and cross-functional stakeholdersDrive experimentation with emerging techniques (e.g., causal inference, GenAI)
Positive by maintaining resiliency and focusing on solutionsRespectful by collaborating and actively listeningInsightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisionsDirect by effectively communicating and conveying courageEarnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health.
We 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! P.S.We 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! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit 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... For full info follow application link. Credit Acceptance is dedicated to providing an inclusive environment for all. We are proud to be an Equal Opportunity Employer and value a culturally diverse workforce. We believe in ensuring all team members demonstrate mutual respect for one another. All qualified applicants will receive consideration for employment without regard to protected characteristics like age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Lead the design and deployment of predictive models for credit risk, collections, and operationsIntegrate advanced ML techniques (e.g., ensemble models, deep learning, NLP)Mentor and support junior and peer-level data scientistsPromote adoption of modern data science tools and platformsPresent insights to senior and cross-functional stakeholdersDrive experimentation with emerging techniques (e.g., causal inference, GenAI)
Requirements:
Bachelor's in a quantitative field8+ years of experience in predictive modeling and analytics6+ years of experience applying ML in production environmentsAdvanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS)Experience with cloud platforms and MLOps toolsThought leader with strong communication and stakeholder management skillsPreferred:
Master's or Ph.D. in a quantitative fieldExperience in consumer lendingExperience with model governance, explainability, and responsibleAI Targeted Compensation:
$184,354 - $270,386 base salary + 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. #LI-Remote#zip BenefitsExcellent 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 toWork Our Company Values:
To be successful in this role, Team Members need to be:Positive by maintaining resiliency and focusing on solutionsRespectful by collaborating and actively listeningInsightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisionsDirect by effectively communicating and conveying courageEarnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health.
All leaders must:
Identify the Right People by recognizing top talentSet Clear Expectations by managing change and directing othersTrain team members and focus on developing talentPerformance Manage by ensuring accountability and driving resultsCreate the Right Environment by establishing trust and managing conflictMaintain the Right Number of team members needed to build an effective teamExpectations:
Remain compliant with our policies processes and legal guidelinesAll other duties as assignedAttendance as required by department Advice!We 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! P.S.We 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! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit 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... For full info follow application link. Credit Acceptance is dedicated to providing an inclusive environment for all. We are proud to be an Equal Opportunity Employer and value a culturally diverse workforce. We believe in ensuring all team members demonstrate mutual respect for one another. All qualified applicants will receive consideration for employment without regard to protected characteristics like age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.