Senior Data Scientist - Payments Optimization

Worldpay • Cincinnati, OH

8d • Remote

About The Position

Are you ready to unleash your full potential? We’re looking for people who are passionate about payments to chart Worldpay’s path to being the largest and most-loved payments company in the world. About the team Worldpay, LLC seeks Senior Data Scientist - Payments Optimization in Cincinnati, OH to design and deliver data driven products that optimize transaction routing, boost performance, and reduce fraud on a global scale. What you will be doing The Senior Data Scientist - Payments Optimization will combine deep statistical and machine learning expertise with strong business insight to create the next generation of payment intelligence solutions on modern cloud platforms.

Requirements

• Bachelor’s degree or foreign equivalent in Business Analytics, Statistics, Mathematics, Data Science or related field and five (5) years of experience in the job offered or a related occupation: utilizing Python, R, SQL, and Scala or Java JVM language for Spark; working with ML / data science libraries including scikit learn, PySpark ML, and TensorFlow; utilizing Databricks, Snowflake, AWS, GCP, and Azure; performing data modeling, ETL/ELT pipelines, and Spark and Hadoop distributed computing frameworks; implementing Version control and DevOps fundamentals (Git, CI/CD); working with A/B testing, experiment design, and optimization techniques; working with Tableau, Power BI, Matplotlib, and R Shiny; distilling complex analyses into clear, actionable insights for diverse audiences; and working with Payments Domain Knowledge with an understanding of debit routing, interchange, fraud mitigation, data encryption, and relevant regulatory requirements.
• In the alternative, the employer will accept a Master’s degree in the above-listed fields and three (3) years of experience in the above-mentioned skills.

Responsibilities

• Build, validate, and deploy ML models and statistical models that drive smarter debit routing decisions and real time transaction optimization.
• Develop automated, end-to-end pipelines for data ingestion, feature engineering, and model deployment using Databricks, Snowflake, Apache Spark, and other big data frameworks.
• Perform exploratory analysis on large structured & unstructured datasets, present findings through dashboards and interactive visualizations for both technical and non-technical stakeholders.
• Design and evaluate A/B tests to measure uplift, optimize routing tables, and inform product strategy.
• Audit existing analytical workflows and introduce AI powered automation to improve efficiency, accuracy, and scalability.
• Translate business challenges into technical solutions, working closely with product, engineering, risk, and compliance teams.
• Ensure data quality, security, and regulatory compliance; document models and establish monitoring to track performance over time.
• Balance sophistication with practicality, choosing the right level of complexity to meet performance, latency, and cost goals.

Benefits

• A competitive salary and benefits
• A variety of career development tools, resources and opportunities
• The chance to work on some of the most challenging, relevant issues in the payment industry
• Time to support charities and give back in your community

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees