Senior Data Scientist - Payments Optimization

Worldpay • Cincinnati, OH

6d • 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.
• Telecommuting and/or working from home may be permissible pursuant to company policy. When not telecommuting, must report to work site.

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