Senior Data Scientist
MastercardGurgaon, IndiaPosted 22 March 2026
Job Description
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 Senior Data Scientist Overview Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. • Are you excited about Data Assets and the value they brings to an organization? • Are you an evangelist for data driven decision making? • Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents? • Do you want to be the go-to resource for data analytics in the company? The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role & Responsibilities • Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services. • Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights. • Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. • Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions. • Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects • Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint. • Apply quality control, data validation, and cleansing processes to new and existing data sources. • Lead, mentor and guide more junior team members. • Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams. • Bring your Passion and Expertise All About You • 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 skills, ability to write optimized queries for large data sets (Big data) • Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack • Experience with data visualization tools such as Looker, Tableau, PowerBI • Experience with Python, R, a plus • Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage • 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 with management, internal stakeholders and collect requirements • Must be able to perform in a team, use judgment and operate under ambiguity Education • Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M ... (truncated, view full listing at source)
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