Senior Manager, Predictive Modeling & ML

Credit Acceptance Corporation; United States; Remote; USD 158,000 - 170,000; Full time

Benefits offered by this job

401(K) match

Adoption assistance

Parental leave

Tuition reimbursement

Medical/dental/vision coverage

Job summary

Credit Acceptance Corporation seeks a Manager of Predictive Modeling & Machine Learning to lead model development and deployment across credit risk, collections, and operations. The role blends traditional analytics with modern ML and MLOps, guiding a hands‑on expert who mentors teammates and drives platform adoption.

The position supports remote work with occasional travel to Southfield, Michigan, and requires senior-level experience in production ML, model governance, and stakeholder

Qualifications

• Bachelor’s degree in a quantitative discipline.
• 5+ years of experience in predictive modeling and analytics.
• 5+ years of experience applying ML in production environments.
• Demonstrated leadership in cross‑functional initiatives.
• Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).
• Strong communication and stakeholder management skills.

Responsibilities

• Lead the design and deployment of predictive models for credit risk, collections, and operations.
• Integrate advanced ML techniques (e.g., ensemble models, deep learning, NLP).
• Mentor and support junior and peer-level data scientists.
• Promote adoption of modern data science tools and platforms.
• Present insights to senior and cross‑functional stakeholders.
• Drive experimentation with emerging techniques (e.g., causal inference, GenAI).

Skills

Python

SQL

Leadership

Communication

Stakeholder management

Education

Bachelor’s degree in quantitative discipline

PhD or Master’s in quantitative discipline

Tools

R

SAS

Job description

Credit Acceptance Corporation seeks a Manager of Predictive Modeling & Machine Learning to lead model development and deployment across credit risk, collections, and operations. The role blends traditional analytics with modern ML and MLOps, guiding a hands‑on expert who mentors teammates and drives platform adoption.

The position supports remote work with occasional travel to Southfield, Michigan, and requires senior-level experience in production ML, model governance, and stakeholder