Join Worldpay as a Data Scientist and become part of one of the world’s leading payment processing platforms driving the global economy. This Data Scientist position is ideal for professionals eager to develop and deploy machine learning solutions that power smarter transaction routing, optimize performance, and reduce fraud at scale. You’ll collaborate across teams to design intelligent, data-driven systems that enhance real-time decision-making in the payments ecosystem.
Data Scientist Responsibilities
- Build and deploy ML and statistical models to optimize debit-routing and transaction performance.
- Develop automated data pipelines for ingestion, feature engineering, and deployment using Databricks, Snowflake, and Spark.
- Conduct exploratory data analysis and create dashboards for both technical and non-technical stakeholders.
- Design and execute A/B tests to improve routing efficiency and inform strategic product decisions.
- Enhance existing analytical workflows through AI automation for scalability and accuracy.
- Translate business challenges into actionable data science solutions while ensuring compliance and security standards.
Qualifications for Data Scientist
- Graduate degree in Mathematics, Statistics, Engineering, Computer Science, or equivalent.
- 5+ years of experience in data science, ML, or quantitative analytics (preferably in payments or fintech).
- Proficiency in Python, R, SQL, and Spark (Scala/Java).
- Hands-on experience with ML libraries such as scikit-learn, PySpark ML, or TensorFlow.
- Strong understanding of cloud platforms (AWS, Azure, or GCP) and data frameworks (Databricks, Snowflake).
- Expertise in A/B testing, experiment design, and optimization techniques.
- Skilled in data visualization tools like Tableau, Power BI, or Matplotlib.
Why You’ll Love Working as a Data Scientist at Worldpay
- Collaborate on cutting-edge financial technology that shapes global payment systems.
- Work in a hybrid setup at Worldpay’s HQ in Mason, OH, with 2–3 onsite days weekly.
- Access continuous learning, leadership development, and advanced analytics challenges.
- Enjoy competitive pay ($127,500–$214,200), benefits, and a global, inclusive work culture.
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