Strong knowledge in statistics, data science, and machine learning techniques
Proficiency in SQL, Python, R, and AI/ML tools
Experience in managing large datasets
Excellent communication skills for complex ideas
Self-motivated with problem identification and initiative abilities
Strong interpersonal skills for effective collaboration
Responsibilities
Understand business needs to design data science solutions
Gather and clean data from various sources
Develop predictive models using appropriate techniques
Generate insights and present analytical results to stakeholders
Collaborate with business partners for actionable strategies
Implement models into IT platforms for decision-making
Monitor model performance for effectiveness
Benefits
Work-life balance with flexible hours
Opportunities for continuous learning and skill refinement
Collaborative work environment fostering cross-functional partnerships
Access to cutting-edge data science tools and technologies
Engagement in solving critical business challenges
Full Job Description
***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
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
