Mastercard Offices

Develops and productionizes machine learning and data science solutions for Mastercard’s Business & Market Insights products. Responsibilities include feature engineering, model training and deployment, exploratory analysis, large-scale PySpark processing, advanced SQL, pipeline optimization, responsible AI controls, and product innovation. Partners with product, engineering, sales, and clients to prioritize solutions, deliver milestones, incorporate feedback, and improve products. Provides technical leadership and mentorship to junior data scientists.

Manages multiple software engineering teams developing and supporting payment fraud and transaction resilience applications. Responsibilities include hiring, coaching, performance management, budgeting, technical strategy, architecture, code quality, security, vulnerability management, technical debt prioritization, capacity planning, incident reduction, CI/CD automation, release testing, and performance testing. Requires strong Java development experience and expertise with Spring Boot, secure coding, operating systems, application troubleshooting, design patterns, and engineering productivity practices.

Develop, test, deploy, configure, and document secure, scalable software for Mastercard’s authentication and payment security products. Own delivery tasks, collaborate with distributed teams, support software metrics, improve processes, and mentor junior engineers. The role requires Java and Spring Boot expertise, database and web-stack experience, CI/CD implementation, testing practices, and familiarity with cloud, microservices, payment security, and Agile methodologies.