Search the 13 jobs at Mastercard

Lead Data Scientist responsible for developing AI and ML fraud detection models for credit and debit card transactions. Working on enhancing fraud detection models and optimizing model performance. Managing data and model development pipelines, exploring fraudulent patterns, and testing trained models for deployment. Must have experience with Python, PySpark, XGBoost, SQL, and Linux/Bash environment. Strong communication and problem-solving skills required.

The Senior Data Scientist will work on creating AI and ML models for fraud detection in the financial industry. Responsibilities include understanding business requirements, building model training pipelines, optimizing models, exploring fraudulent patterns, and testing model robustness for deployment.

Mastercard is seeking a Software Engineer II (Full-Stack - Java, React) to join their Decision Operations product team in Vancouver office. The role involves owning software delivery tasks, coding front end and backend applications, participating in scrum ceremonies, adopting best development practices, and providing support by troubleshooting production incidents. The candidate should be a full stack developer with experience in Java, React, and other languages, knowledgeable of Spring and other frameworks, and able to write secure code.

The Senior Software Engineer (Java) role involves designing and implementing application logic in Java, writing and testing code, collaborating with teammates, and applying best development practices. The position requires strong programming skills, knowledge of Spring and SQL, experience with high performance applications, and problem-solving abilities. Desirable skills include experience with testing frameworks, Linux Servers, Dockers, and Splunk. A BS in computer science or related field is preferred.

Lead Data Scientist role focusing on piloting Generative AI use cases for sales enablement. Responsibilities include collaborating with teams to research and develop AI algorithms, working with data pipelines, building machine learning models, and presenting findings to stakeholders.

The Principal Technical Program Manager at Mastercard will focus on initiative delivery, release management, road mapping, dependency and risk management, capacity planning, and stakeholder communications. Responsibilities include developing strategies for resiliency and stability of technical systems, leading projects related to resiliency, and assessing and improving measures based on best practices and emerging technologies.

Manager role in Performance Engineering team for managing day-to-day operations, capacity planning, and performance testing of applications and infrastructure. Responsibilities include driving vision, leading scrum teams, being a hands-on technical leader, managing vendor relationships, and raising standards in Performance Engineering practices.

The Lead Technical Program Manager - Data Science at Mastercard is responsible for managing a wide variety of data science projects, interacting with data scientists, product managers, engineers, and senior leaders to deliver complex projects. They are expected to be detail-oriented, with a solid technical background and excellent problem-solving skills.

Lead Software Engineer role at Mastercard focusing on performance and availability engineering for the platform. Responsibilities include building an engineering practice for performance engineering work, leading new initiatives, partnering with solution architects, and ensuring platform resilience and availability.

The VP, Product Management-Technical at Mastercard is responsible for leading software engineer teams to provide technical solutions for intelligent decision-based products. This role involves roadmap development, managing initiatives, collaborating with cross-functional teams, overseeing Epics and features, and coaching PMTs to achieve business goals.

The Senior Software Engineer (Java) role involves designing and implementing application logic in Java, writing code for testing, collaborating with team members, mentoring, and applying best development practices. The position requires strong programming skills in Java, knowledge of Spring, unit testing, SQL, and experience with high-performance applications. Desirable skills include IBM ILOG/ODM, Pivotal Gemfire Grid, Dockers, Kubernetes, and Angular. A degree in computer science or a related field is preferred.

Lead Software Engineer responsible for mentoring the team and hands-on development in Java for the Decision Management program at Mastercard. Required skills include Java, Spring, SQL, and Oracle. The role involves designing and implementing application logic, mentoring the team, creating documentation, and collaborating with the architect to ensure alignment with architecture guidelines.

Manager, Software Engineering role at a company focused on connecting and powering an inclusive digital economy. Responsible for leading a software engineering team to provide and implement technical solutions, with a focus on building industry-leading solutions for fighting fraud and solving complex business problems.