Manager, Data Science

American Credit Acceptance, LLC; Spartanburg (SC); On-site; USD 120,000 - 160,000; Full time

Job summary

American Credit Acceptance is seeking a Data Science Manager to lead a team of MS/PhD quants in building predictive models that forecast deal performance across loan lifecycles. You will explore diverse modeling approaches, evaluate historical model performance, and push for improvements.

You will also investigate industry dynamics and describe them mathematically to forecast future directions. The role emphasizes strong communication to influence stakeholders and drive fast, data-driven

Qualifications

• Master's degree in a quantitative field is required.
• 5 years of data science/analytics experience leading complex initiatives.
• Strong communication and ability to influence across teams.

Responsibilities

• Lead a group of MS and PhD quants in building predictive models.
• Explore diverse modeling modalities to tackle challenges.
• Evaluate past model performance and improve it.
• Investigate industry dynamics and forecast their direction.
• Collaborate with analytic teams to maximize growth and profitability.

Skills

Mathematical modeling

Leadership

Stakeholder management

Education

Master's degree in Math/Statistics/Engineering or quantitative field

Job description

Description

The Data Science team at American Credit Acceptance is responsible for using advanced statistical and data science methodologies to forecast individual deal performance probabilities across the lifecycle of every loan.

As a manager on this high-performing team, you will:

• Lead a group of MS and PhD quants in building the predictive models we need to solve big problems and drive our company forward.
• Explore the applicability of diverse modeling modalities to tackle different challenges.
• Evaluate past model performance and find ways to improve upon it.
• Investigate emerging industry dynamics and find ways to describe them mathematically—and then forecast their future direction.
• Work with other analytic teams to maximize growth and profitability while serving an important customer population.

Who You Are

• Passionate about building mathematical models to predict future outcomes.
• Interested in finding key correlations but also understanding the “why” behind their existence.
• Driven by the power of predictive models to deliver significant business impact.
• Catalyst for business change with a desire to make decisions that are implemented fast.
• Driver of “think tank” culture with a desire to build teams that openly debate new ideas and embrace experimentation.
• Enthusiastic learner who enjoys the process of providing and receiving actionable feedback.
• Experienced leader who is fulfilled by the journey of continuous improvement.

What You Bring:

• Master’s degree in Math, Statistics, Engineering or other quantitative field.
• 5 years of related experience in data science, predictive modeling, advanced analytics, or a similar quantitative discipline, with experience leading complex analytical initiatives and working with advanced modeling techniques.
• Strong communication and stakeholder management skills, with the ability to influence others and build effective relationships across teams.

About the team:

We live by our Guiding Principles: Integrity, Partnership, Principled Entrepreneurship, Initiative, Fulfillment, and Humility. Our culture values humility, pragmatism, and the wisdom to know what can be solved. We believe in the power of collaboration, thriving on the motto "Better Together."

We aren’t just about numbers - analytics drives business transformation here. Our team values creativity, pragmatism, mentorship, and, yes, fun! From mini golf to ping pong and baseball games, we celebrate wins together.

This role is onsite and based out of our headquarters in Spartanburg, South Carolina. Open to candidates willing to relocate. Position requires relocation to Spartanburg, SC by start date.

Why Spartanburg?

This up-and-coming city in Upstate South Carolina has so much to offer! An affordable lifestyle with lakes, trails, and a growing culinary and arts scene. You’re an hour from Greenville, Charlotte, Asheville, and the Blue Ridge Mountains, and within three hours of Charleston, Atlanta, and the beaches.

About American Credit Acceptance (ACA)

We’re not just navigating the road ahead - we’re building it. As a national leader in auto finance with over $6 billion in assets and a history of 20% annualized growth, we empower emerging credit consumers to achieve their financial goals while creating opportunities for our team to shape the future of our industry.

We’re looking for innovative thinkers and problem-solvers—people who can build the car, not just drive it. At ACA, analytics isn’t just about interpreting data; it’s about crafting strategies, engineering solutions, and designing systems that fuel our success.

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

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.