Data Scientist- Payments Optimization

Location: CINCINNATI, OHIO

Time Type: Full time

Job Description

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 Data Scientist- Payments Optimization in Cincinnati, OH to work within the payment Strategic Routing team to build, validate, and deploy machine learning (ML) models and statistical models that drive smarter debit routing decisions and real time transaction optimization.  

What you will be doing

The Data Scientist- Payments Optimization will develop automated, end to end pipelines for data ingestion, feature engineering, and model deployment using Databricks, Snowflake, Apache Spark, and other big data frameworks. Additionally, the role will:

• Perform exploratory analysis on large structured & unstructured datasets and 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.

Requirements

Bachelor’s degree or foreign equivalent in Information Systems or related field and five (5) years of progressively responsible experience in the job offered or a related occupation: utilizing Python , R, SQL, and at least one JVM language (Scala/Java) for Spark; working with ML/data science libraries (scikit learn, PySpark ML, TensorFlow, etc.); working with  cloud data platforms (AWS, GCP, or Azure), Databricks, and Snowflake; operating with  data modeling, ETL/ELT pipelines, and distributed computing frameworks (Spark, Hadoop); implementing version control & DevOps fundamentals (Git, CI/CD); working with A/B testing, experiment design, and optimization techniques; employing Tableau, Power BI, Matplotlib, or R Shiny. Telecommuting and/or working from home may be permissible pursuant to company policies.

What we offer you

• 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

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.