Manager, Data Scientist

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Data Scientist About Mastercard: Mastercard is a leading global technology company in the payments industry. Our mission is to connect and empower an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Leveraging secure data, robust networks, strategic partnerships, and our commitment to innovation, we enable individuals, financial institutions, governments, and businesses to realize their full potential. With a presence in over 210 countries and territories, we are dedicated to building a sustainable world that unlocks priceless possibilities for all, driven by our core value of decency. About the Team: The Optimization Solutions team focuses on enhancing digital payment performance across all Mastercard products and regions. As consumer preferences evolve towards digital payments, we prioritize delivering a seamless and secure experience. The team analyses digital performance metrics, identifies factors influencing outcomes, and monitors broader industry trends. We generate actionable, data-driven insights and recommendations, collaborate with external stakeholders to implement optimization solutions, and work cross-functionally to ensure alignment and execution. Position: Manager – Data Scientist The Role As part of the Optimization Solutions team, the role involves: • Partner with global, cross functional teams to design, develop, and maintain advanced analytics and data science solutions that drive business impact. • Build, deploy, and scale machine learning models that deliver actionable insights for product optimization, growth, and sales enablement. • Lead the end to end design and technical oversight of complex data science and ML solutions, ensuring scalability, performance, and engineering excellence. • Drive the development, validation, monitoring, and continuous improvement of predictive models, statistical techniques, and algorithms aligned with business objectives. • Establish and uphold best practices across statistical analysis, feature engineering, model evaluation, and performance monitoring. • Translate advanced analytics, model results, and experimental findings into clear, data driven insights for senior business and product stakeholders. • Design and implement robust data pipelines, including ingestion, aggregation, and processing of large-scale, high dimensional datasets.