Job Description

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.

Additionally, the role will:

• 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, ApacheSpark, 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,optimizerouting 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 andestablishmonitoring to track performance over time.
• Balance sophistication with practicality, choosing the right level of complexity to meet performance, latency, and cost goals.

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, PowerBI, 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.

What we offer you

• A competitive salary and benefits
• A variety of career development tools,resourcesand 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
• Time to support charities and give back in your community

EEOC Statement

The EEO is the Law poster is

available here

.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics.