Corpay is looking to hire a Data Scientist within the data team. This position falls under our North American Fuel line of business and is located in Atlanta, GA. In this role, you will be working closely with cross functional stakeholders you will play a pivotal role in delivering on our mission. We are looking for a candidate with strong passion, knowledge and experience with discovering solutions hidden in large data sets, improving business outcomes and providing leadership teams with insights gained from data. The ideal candidate is adept at using large data sets to find opportunities for business model and process optimization and using models to test the effectiveness of different courses of action. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, Candidate is expected to have strong proficiency in SQL coding to manipulate the data, using/creating algorithms to build machine learning models in Python (preferred) or R, and lead end-to-end implementation, execution and maintenance post development. Candidates are expected to have a proven ability to drive business results with their data-based insights and must be comfortable working with a wide range of data types and requests, including financial and non-financial data.
How We Work
As a Data Scientist, you will be expected to work in an onsite environment. Corpay will set you up for success by providing:
Assigned workspace in Atlanta, GA
Company-issued equipment
Role Responsibilities
Perform exploratory data analysis (EDA) to identify key insights and trends
Assist in building and validating machine learning models
Support experimentation and A/B testing to evaluate engagement strategies
Develop dashboards and reports to communicate findings to stakeholders
Collaborate with cross-functional teams to deliver actionable, data-driven solutions
Help translate business problems into data science solutions
Implement analytical models in production by collaborating with software developers and machine-learning engineers
Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
Stay up to date with latest developments in data science tools, techniques, and best practices
Qualifications We Seek
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field, Master is preferred.
2–4 years of experience in a data science or analytics role.
Basic understanding of statistics , machine learning, and deep learning concepts
Exposure to Generative AI models is a plus
Strong proficiency in Python, especially with pandas, numpy, and scikit-learn
Solid understanding of SQL and data querying
Familiarity with AWS data tools such as Redshift, Athena, S3, or Glue
Enthusiasm for learning, collaborating, and solving real business problems
Nice to Have
Experience working with regression and classification models for predictive analytics
Familiarity with finance, credit, or risk data, and experience building models like churn prediction, customer lifetime value (CLV), and customer risk scoring
Experience with version control tools like Git
Familiarity with data visualization tools (Power BI, Tableau) or Python plotting libraries
Understanding of experimentation frameworks and statistical testing
#Corpay
Other details
Job Family Analyst
Pay Type Salary
Employment Indicator Employee
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