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. 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 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.
QUALIFIED APPLICANTS: Please apply directly through our website at https://jobs.worldpay.com for Job ID #JR0609122
