Corpay provides online payment solutions, and they are seeking a Data Scientist to join their data team. In this role, you will analyze large data sets to derive insights that improve business outcomes and support decision-making processes.
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
Qualification
Required
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
2–4 years of experience in a data science or analytics role
Basic understanding of statistics, machine learning, and deep learning concepts
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
Preferred
Master's degree in Data Science, Computer Science, Statistics, or a related field
Exposure to Generative AI models
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
