Data Scientist

Why GLS?
Purpose: Access to affordable, reliable transportation is essential to leading productive work and personal lives, caring well for oneself, one’s family, and the needs of others. Through advanced analytics and technology, we can more accurately predict credit risk and provide more people with an affordable auto financing option for their next vehicle. That’s what GLS has done for over 10 years, helping more than half a million families meet and improve their transportation needs. 
People: Join a culture of over 1,000 employees who Care Deeply and Think Boldly, driving innovation in an adaptive and positive culture that celebrates successes. We empower and reward individuals and teams who make direct, positive impacts to the business and each other, who take pride in their work and are ever-raising the bar. 
Growth: Recognized by Inc 5000 as one of the fastest-growing private companies in America. Join GLS to grow with us!
Benefits: GLS offers the below great benefits for your amazing work!o   Competitive base pay and performance bonuses, dependent on roleo   Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term disabilityo   401K with employer match and 100% immediate vestingo   Paid Time Off (PTO) and paid company holidays to help you balance work and personal lifeo   Paid Volunteer Time Off (VTO) Annuallyo   Tuition Reimbursement o   Parental Leave o   Business casual work environment
***This posting is to enter our campus recruiting and entry-level process for position offers being made for December 2026 or May 2027***   What does it mean to be a Data Scientist  at GLS? GLS relies heavily on Data Science and Decision Science to power automated, intelligent decision-making that strengthens dealer partnerships and enables us to offer affordable lending solutions to consumers. As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges by applying your strong critical thinking, academic expertise, and ability to quickly master new concepts and domains, transforming knowledge into practical solutions.

How will you drive value within the organization as a Data Scientist?

• Understanding business problems and needs to design effective data science solutions
• Gathering data from various sources, cleaning it appropriately, and visualizing it to identify anomalies and patterns
• Developing robust predictive models using suitable modeling techniques
• Generating insights and crafting a cohesive narrative from the data, summarizing analytical results, and presenting them to stakeholders
• Collaborating with business partners to translate models into actionable business strategies