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 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. Job Title: Data Scientist II Overview: The Global Pricing & Interchange (P&IC) team plays a critical role in shaping Mastercard’s economics strategy and enabling profitable growth across products, services, and markets. The team partners with regional and global business units to execute pricing and interchange strategies under a consistent global framework while driving revenue optimization, commercial simplification, enhanced customer experiences, and strategic transformation initiatives. As a Data Scientist, you will leverage advanced analytics, data science, machine learning, and modern data platforms to transform data into actionable insights that influence strategic business decisions. You will work at the intersection of strategy, analytics, technology, and commercial execution, helping answer complex business questions, identify growth opportunities, improve operational efficiency, and support Mastercard’s long-term pricing and interchange strategy.

The Data Scientist is responsible for designing and delivering scalable, data-driven solutions that support Pricing & Interchange strategy, business performance optimization, and enterprise decision-making. Key Responsibilities • Develop analytics, predictive models, and data science solutions that support pricing, interchange, and commercial strategy initiatives. • Conduct analyses including profitability assessments, customer and product segmentation, forecasting, simulations, optimization, and revenue analytics. • Design, develop, and maintain reporting, dashboards, data visualizations, and self-service analytical capabilities supporting global business needs. • Build and enhance data pipelines, analytical datasets, and scalable data products using modern cloud and big data technologies. • Apply statistical methods, machine learning techniques, and AI-driven approaches to uncover trends, identify opportunities, and solve business challenges. • Translate business requirements into analytical frameworks and actionable recommendations. • Partner with Pricing, Strategy, Finance, Product, Technology, and Regional teams to develop insights that support key commercial decisions. • Present analytical findings and recommendations in a clear, concise, and business-friendly manner. • Contribute to continuous improvement of data science methodologies, automation opportunities, and analytics capabilities across the organization. All About You: • 1–3 years of experience in data science, analytics, business intelligence, quantitative analysis, or a related field. • Strong understanding of data management, data analysis, statistics, and reporting concepts. • Proficiency in SQL with experience querying and analyzing large datasets. • Experience with Python and familiarity with analytics libraries and data science toolsets. • Experience working with Hadoop/Cloudera, Snowflake, Databricks, Azure/AWS cloud