About this opportunity
Glsauto lists this Data Scientist opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
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
Competitive base pay and performance bonuses, dependent on role
Medical, dental, vision, telemedicine, supplemental insurance benefits, long‑term and short‑term disability
401K with employer match and 100% immediate vesting
Paid Time Off (PTO) and paid company holidays to help you balance work and personal life
Paid Volunteer Time Off (VTO) Annually
Tuition Reimbursement
Parental Leave
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 quicky 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
2023 California Applicant Privacy Notice
GLS participates in E-Verify program to confirm the employment eligibility of all newly hired employees
Applicants have rights under Federal Employment Laws
Family and Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.