Data Scientist

Job Description

Job Description

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 role

o Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term disability

o 401K with employer match and 100% immediate vesting

o Paid Time Off (PTO) and paid company holidays to help you balance work and personal life

o Paid Volunteer Time Off (VTO) Annually

o 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 May 2026***

 

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
• Working with IT to implement models into IT platforms for automated decision-making
• Monitoring model performance to ensure effectiveness and validity
• Continuously learning new technologies and refining skills daily

What should you already know to be successful as a Data Scientist?

• Strong foundational knowledge in statistics, data science, and machine learning, including techniques such as multivariate regression, decision trees, stochastic gradient boosting, and deep learning
• Proficiency in programming and working with open-source AI/ML languages and tools, including but not limited to SQL, Python, R, scikit-learn, statsmodels, XGBoost, and LightGBM
• Proven experience in managing and analyzing large datasets
• Excellent written and verbal communication skills, with the ability to convey complex ideas in a clear, business-oriented, and user-friendly manner
• Self-motivated with a demonstrated ability to take initiative, identify opportunities for improvement, make actionable recommendations, and see them through to implementation while assessing their effectiveness
• Outstanding interpersonal skills: approachable, tactful, and capable of influencing others, resolving conflicts, exercising sound judgment, maintaining confidentiality, and collaborating with all levels of the organization to build strong cross-functional partnerships

Employment Requirements:

• This is an exempt level position whereby business need will dictate the exact work schedule which should be expected to vary at times. Generally, the days and hours of work are Monday through Friday, 8:30am-5:30pm
• Regular, predictable attendance is required, including in excess of 40 hours per week as business demands dictate
• Evening and weekend work may be required as job duties demand
• The position does not require travel
• Significant portions of daily assignments involve application of manual skills requiring motor coordination in combination with finger dexterity
• Remain in a stationary position up to 100% of the workday
• Be able to perform activities such as: viewing a computer terminal, extensive reading, bending, and kneeling

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