Director, Data Scientist at Mastercard in Gurugram, Haryana, India

Director, Data Scientist Location: Gurgaon, India 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 Director, Data Scientist Overview: Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, and new product development. • Are you excited about Data Assets and the value they bring 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: • Partner with global & regional Optimization teams to architect, develop, and Lead cross-functional initiatives using advanced analytics techniques to generate actionable insights, identify optimization opportunities, and support strategic decision-making. • Deliver clear, compelling insights and recommendations through data storytelling using tools such as Tableau, Power BI, Excel, React-based dashboards, and PowerPoint. • Translate complex business problems into scalable analytical and technical solutions, ensuring high-quality, timely delivery of data products and analytics solutions. • Define and drive analytics strategy while applying 80/20 principles to prioritize high-impact opportunities, ensuring focus on initiatives that deliver maximum business value. • Lead and develop high-performing teams through coaching and accountability, while building strong stakeholder partnerships and driving adoption of analytics outputs across the enterprise. All About You: • Proven expertise in designing, building, and scaling AI/ML models to solve complex business problems, with full ownership of the model lifecycle including deployment. • Proven experience leveraging large language models (LLMs) and enterprise AI platforms (e.g., Claude, Copilot) to drive scalable, secure, and business-impacting AI solutions in production environments. • Strong hands-on proficiency in Python, Spark, Hadoop ecosystem (Hive, Impala), and SQL to build robust, scalable, and production-grade data pipelines and analytics solutions, with exposure to enterprise BI and visualization platforms such as Tableau and Power BI. • Ability to translate complex and ambiguous business problems into structured analytical solutions, and communicate insights through clear, compelling narratives that influence executive decision-making. • Demonstrated success in building, mentoring, and leading high-performing data science teams, fostering innovation, accountability, and continuous learning culture. • Strong track record of delivering complex, large-scale initiatives in fast-paced environments, managing roadmaps, timelines, dependencies, and stakeholder alignment across business, product, and engineering. • Ability to operate effectively in ambiguity while ensuring responsible AI practices, model governance, compliance, and effective escalation management across enterprise environments. Education: • Bachelor’s or master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred. Corporate Security Responsibility Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.