**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 Data Scientist II Job Family: Product Data & Analytics Job Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. We enable secure, simple, smart, and accessible digital payments. Our technology and innovation help people, businesses, and governments realize their greatest potential. Overview The Product Data & Analytics team builds internal analytic partnerships to strengthen focus on: • Business health and portfolio optimization • Revenue opportunities and initiative tracking • New product development and Go-To-Market strategies We provide scalable end-to-end data solutions and influence decisions across Mastercard through data-driven insights. Role Responsibilities • Architect, develop, and maintain advanced reporting and visualization capabilities on large data volumes. • Translate business requirements into solution specifications and high-quality deliverables. • Create repeatable ETL, modeling, and reporting processes. • Manipulate large-scale databases, synthesize insights, and present findings via Tableau/PowerBI dashboards, Excel, and PowerPoint. • Apply quality control, data validation, and cleansing processes to new and existing data sources. All About You • Experience in data engineering, analytics, reporting, and quantitative analysis. • Advanced SQL skills; ability to write optimized queries for large datasets. • Familiarity with Cloudera Hadoop, Big Data stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake. • Exposure to Python, Scala, Hive, Impala, Spark. • Experience creating data pipelines using tools like Alteryx, SSIS. • Knowledge of job scheduling tools (Apache Airflow, NIFI). • Proficiency in data visualization tools (Tableau, PowerBI, Domo). • Strong skills in data validation and cleansing. • Ability to present insights in a clear, actionable format. • Comfortable interacting with management and stakeholders. • Payments or financial institution experience is a plus. Education • Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Mathematics, Statistics. Additional Competencies • Excellent communication and technical skills. • Strong analytical/problem-solving abilities. • Attention to detail and quality. • Creativity and innovation. • Self-motivated with a sense of urgency. • Ability to prioritize and multitask effectively. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks carry inherent risk. Every person working for or on behalf of Mastercard must: • Abide by security policies and practices. • Ensure confidentiality and integrity of accessed information. • Report any suspected security violations or breaches. • Complete all mandatory security trainings as per Mastercard guidelines. **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + 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.