Payments Data Scientist

Role Overview

As a Data Scientist at Global Payments, you’ll apply machine learning, statistical modeling, and strong engineering skills to solve meaningful business and client challenges. You’ll join a connected team where you can learn from experienced data scientists, contribute your ideas, and build your expertise.

What You Will Do

Transform complex data into meaningful insights that guide decision-making, uncover opportunities, and create value for internal teams, partners, and clients. Analyze and interpret data to support business decisions and develop actionable recommendations.

Why It Might Be a Fit

The ideal candidate combines strong analytical skills, technical expertise, and a curiosity for solving complex problems. You’ll have the opportunity to work with large, complex datasets while shaping practical solutions that balance analytical accuracy, performance, and business value.

Requirements

• A bachelor’s or master’s degree in Data Science, Statistics, Mathematics, Applied Mathematics, Computer Science, Engineering, Economics, or a related quantitative field.
• Experience with data analysis, statistical methods, machine learning, and predictive modeling.
• Proficiency in data science tools and programming languages such as Python, R, and SQL.
• Experience working with large datasets and modern analytics tools; experience with cloud-based data platforms is a plus.
• Knowledge of machine learning, artificial intelligence, statistical modeling, data visualization, and advanced analytics techniques.
• Strong analytical, decision-making, problem-solving, and critical-thinking skills with the ability to translate complex challenges into practical solutions.
• Experience collaborating with cross-functional teams to deliver data-driven solutions.
• Excellent written and verbal communication skills, with the ability to communicate technical concepts and insights to both technical and nontechnical audiences.
• Curiosity, eagerness to learn, and a passion for leveraging data and analytics to solve business problems and create measurable value.
• Knowledge of financial services, payments, or related industries is a plus.

Benefits

• Competitive compensation
• Rewarding career opportunities
• Good faith estimated annual salary range upon hire: $87,500.0-$139,250.00

Tagged as: Data Analysis, Data Visualization, Python, SQL