Payments Data Scientist - ML & Analytics for Impact

Global Payments; Cincinnati (OH); On-site; USD 88,000 - 139,000; Full time

Benefits offered by this job

EEOC compliance

Job summary

Global Payments is seeking a Data Scientist I to apply analytics, ML, and statistical modeling to solve business and client challenges. You will work with large datasets and collaborate with cross-functional teams to deliver insights and data-driven products.

You will transform data into actionable insights, develop dashboards for stakeholders, and support model deployment while balancing accuracy, performance, and business value. This is a full-time role based in the United States.

Qualifications

• Bachelor’s or master’s degree in a quantitative field.
• Experience with data analysis, statistical methods, ML, and predictive modeling.
• Proficiency in Python, R, and SQL.
• Experience with large datasets and cloud-based analytics is a plus.
• Strong analytical and communication skills.

Responsibilities

• Transform complex data into meaningful insights to guide decisions.
• Build, validate, and enhance data-driven products with ML and statistics.
• Develop data visualizations, dashboards, and reports for technical and nontechnical audiences.
• Collaborate with cross-functional teams to translate business needs into analytics.
• Ensure data quality and integrity across large datasets.
• Support deployment and monitoring of analytical models.

Skills

Data analysis

Statistics

Machine learning

Python

SQL

R

Education

Bachelor’s or Master’s degree in a quantitative field

Job description

Global Payments is seeking a Data Scientist I to apply analytics, ML, and statistical modeling to solve business and client challenges. You will work with large datasets and collaborate with cross-functional teams to deliver insights and data-driven products.

You will transform data into actionable insights, develop dashboards for stakeholders, and support model deployment while balancing accuracy, performance, and business value. This is a full-time role based in the United States.