Data Scientist II

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 Data Scientist II Job Title Data Scientist II Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data, networks, partnerships, and innovation, we help individuals, financial institutions, governments and businesses realize their greatest potential. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Ethoca Smart Subscriptions Overview Ethoca Smart Subscriptions, part of Mastercard’s Consumer Clarity suite, enables issuers to provide customers with seamless visibility and control over their subscription payments directly within banking applications. The team builds scalable, API-driven platforms that identify, enrich, and manage subscription payments, helping reduce disputes, improve transparency, and enhance customer experience. Engineers work on high-impact, cloud-native solutions integrated with Mastercard’s global infrastructure, delivering real-time insights and actions for millions of users. Role •. Architect, develop and maintain advanced reporting and data visualization capabilities on large volume of data in order to support product and innovation. • Translate business requirements into tangible solution specifications and high quality, on time deliverables • Create repeatable processes to support development of modeling and reporting • Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Excel and PowerPoint. • Apply quality control, data validation, and cleansing processes to new and existing data sources All About You • Experience with Generative AI, Large language Models (LLMs), Agentic AI systems, prompt engineering and AI powered workflow automation. • Experience developing GEN AI solutions using Python, Azure open AI services and modern orchestration frameworks. • Ability to leverage AI agents and advanced analytics to automate business processes, generate actionable insights and improve decision making at scale. • Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis • Financial Institution or a Payments experience a plus • Experience presenting data findings in a readable and insight driven format. Experience building support decks. • Advanced SQL coding • Experience on Platforms/Environments: SQL Server, Microsoft BI Stack • Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage • Experience in building data models a plus • Experience with data visualization tools such as Tableau, Domo, PowerBI a plus • Experience with Hadoop environments, Python, R, a plus • Excellent problem solving, quantitative and analytical skills • In depth technical knowledge, drive and ability to learn new technologies • Strong attention to detail and quality • Team player, excellent communication skills • Must be able to interact