Payments Data Scientist I: Analytics for Impact

Worldpay, LLC; Cincinnati (OH); On-site; USD 92,000 - 139,000; Full time

Job summary

Worldpay is seeking a Data Scientist to apply ML, statistical modeling, and data engineering to solve business and client challenges. You will work with large, complex datasets and collaborate with cross-functional teams to build predictive models and data-driven products.

The role emphasizes turning data into actionable insights, developing dashboards, and translating business needs into analytical solutions while ensuring data quality and responsible deployment of models.

Qualifications

• 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 Python, R, and SQL.
• Experience with large datasets and cloud-based data platforms is a plus.
• Knowledge of ML, AI, statistical modeling, data visualization, and advanced analytics techniques.
• Strong analytical and problem-solving skills with ability to translate complex challenges into practical solutions.

Responsibilities

• Transform complex data into meaningful insights to guide decision-making.
• Analyze and interpret data to support business decisions and develop actionable recommendations.
• Build, validate, and enhance data-driven products using ML, AI, and statistical modeling.
• Develop data visualizations, dashboards, and reports for technical and non-technical audiences.
• Partner with business and technology teams to translate requirements into analytical solutions.
• Ensure data quality and integrity across large, complex datasets.

Skills

Data analysis

Machine learning

Python

SQL

Statistical modeling

Education

Bachelor's or Master’s degree in Data Science/Statistics/Math/etc

Tools

Python

R

SQL

Job description

Worldpay is seeking a Data Scientist to apply ML, statistical modeling, and data engineering to solve business and client challenges. You will work with large, complex datasets and collaborate with cross-functional teams to build predictive models and data-driven products.

The role emphasizes turning data into actionable insights, developing dashboards, and translating business needs into analytical solutions while ensuring data quality and responsible deployment of models.