Remote Manager, Predictive Modeling & Machine Learning

Credit Acceptance; Southfield (MI); On-site; USD 158,000 - 170,000; Full time

Benefits offered by this job

401(K) match

Adoption assistance

Tuition reimbursement

Comprehensive medical/dental/vision

Job summary

Credit Acceptance is seeking a Senior Data Scientist to design, deploy, and refine predictive models for credit risk, collections, and operational efficiency. You will work with cross-functional teams, mentor peers, and promote modern data science practices in a remote-friendly environment.

The role emphasizes leadership, advanced analytics, and the adoption of responsible AI, with a compensation range aligned to market expectations for senior data scientists in the U.S.

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 (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.
• Present insights to senior and cross-functional stakeholders.
• Drive experimentation with emerging techniques (e.g., causal inference, GenAI).

Skills

Leadership

Communication

Stakeholder management

Mentoring

Education

Bachelor's degree in a quantitative discipline

Ph.D or Master's in quantitative discipline

Tools

Python

SQL

R

SAS

Job description

Credit Acceptance is seeking a Senior Data Scientist to design, deploy, and refine predictive models for credit risk, collections, and operational efficiency. You will work with cross-functional teams, mentor peers, and promote modern data science practices in a remote-friendly environment.

The role emphasizes leadership, advanced analytics, and the adoption of responsible AI, with a compensation range aligned to market expectations for senior data scientists in the U.S.