Job Description
Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day.
What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open – winning and failing as one. Are you ready to make your mark? Then you sound like a Worldpayer!
About the Role
Join our Payment Strategic Routing team to design and deliver data‑driven products that optimize transaction routing, boost performance, and reduce fraud at global scale. You’ll combine deep statistical and machine‑learning expertise with strong business insight to create the next generation of payment‑intelligence solutions on modern cloud platforms.
This role will work in a hybrid environment at our HQ located in Mason, OH. The expectation will be to be onsite 2-3 days per week.
Please note: This is not a role we will sponsor or transfer sponsorship now or in the future.
What you will be doing:
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.Special Requirements & Technical Toolkit
Proficient in Python (preferred), R, SQL, and at least one JVM language (Scala/Java) for Spark.Expertise with ML / data‑science libraries (scikit‑learn, PySpark ML, TensorFlow, etc.).Hands‑on experience with cloud data platforms (AWS, GCP, or Azure), Databricks, and Snowflake.Strong grasp of data modeling, ETL/ELT pipelines, and distributed‑computing frameworks (Spark, Hadoop).Version control & DevOps fundamentals (Git, CI/CD).Knowledge of A/B testing, experiment design, and optimization techniques preferred.Skilled in Tableau, Power BI, Matplotlib, or R Shiny; able to distill complex analyses into clear, actionable insights for diverse audiences.Minimum Education and Experience Requirement:
Graduate Degree in a Quantitative field (Math, Statistics, Engineering, Computer Science) or relevant experience5+ years of industry experience in data science, ML, or quantitative analytics, ideally within payments, fintech, or high‑volume transaction environments.Experienced Payments Domain Knowledge, understanding of debit routing, interchange, fraud mitigation, data encryption, and relevant regulatory requirements.Demonstrated ability to partner with cross‑functional teams, manage competing priorities, and deliver high‑impact solutions in a fast‑moving environment.What we offer you:
A competitive salary and benefitsA variety of career development tools, resources and opportunitiesThe chance to work on some of the most challenging, relevant issues in the payments world#LI-BJ1
Privacy Statement
Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice.
EEOC Statement
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. 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.
Sourcing Model
Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.