Data Scientist | 2026 Start

Description

Launch your career with us! We’re looking for students graduating between Fall 2025 and Summer 2026 who are ready to jump in and start full-time in 2026.

Are you driven to uncover insights and solve complex problems using advanced analytics and machine learning? If so, launch your career with us as a Data Scientist!

About American Credit Acceptance

American Credit Acceptance is a leading auto finance company known for innovative solutions and a strong commitment to growth. We’re proud to have delivered double-digit growth for the past 10 years, and today we manage over $5 billion in assets. Join our collaborative culture, apply your skills to meaningful challenges, and help shape the future of auto finance for the emerging credit consumer.

Responsibilities :

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Analyze large amounts of structured and unstructured data using scientific methods and algorithms to develop knowledge and insights and improve business performance in impact areas including pricing modeling, financial returns, web analytics, call analytics, speech analytics, fraud analytics, forecasting, and auction analysis.
• Understand and apply mathematical theory by developing and leveraging predictive models, boosted models, decision trees / Random forests, Support Vector Machine (SVM), neural networks / deep learning, regression modeling, experimental design, and other techniques.
• Leverage R, Python, SQL, Tableau, and other quantitative analytical techniques to extract and manipulate data, as well as to develop, analyze, validate and deploy predictive models.
• Engage across functional areas, including Operations, Legal, Compliance, Informational Technology, Vendor Management, and Finance to develop an understanding of fields to which statistical methods are to be applied and to determine which methods and results are appropriate.
• Leverage statistical models and collaborate closely with technology and business groups to analyze operational feasibility, implementation, and production integration.
• Develop profitability analyses to assess the financial value of new models.
• Develop monitoring of model inputs, sampling techniques, and performance and make changes to models when needed.
• Create statistically derived tests to grow business knowledge and measure the impact of hypotheses.
• Research and evaluate advanced statistical techniques using machine learning and artificial intelligence techniques to advance knowledge and pursue new approaches.
• Report results of statistical analyses and present written recommendations in a clear manner to senior executives.
• Consistently consider, and follow, ACA’s Guiding Principles

Qualifications :

Guiding Principles

To succeed in this role, you’ll demonstrate ACA’s core values : Integrity, Partnership, Humility, Principled Entrepreneurship, Initiative, and Fulfillment.

Work Environment and Physical Demands

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. This position is required to lift at least 50 pounds and have the mobility to keep the storage areas orderly and floors cleaned of IT clutter.

Position Type / Expected Hours of Work

This is a full-time position with a work schedule of Monday-Friday with some schedule variations as needed including on-call coverage rotation. Occasional night or weekend work for special projects.

EEO Statement

ACA provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. ACA complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

California Privacy Notice

As an employer of California residents, we are dedicated to protecting your privacy rights. Any personal information you provide during the application process will be used solely for permitted internal purposes and will be handled in accordance with applicable privacy laws. By applying to this position, you consent to the collection, use, and disclosure of your personal information as described in our  Employee Privacy Notice .