Data Scientist II

Skip to main content Data Scientist II page is loaded Data Scientist II Apply locationsGurgaon, India time typeFull time posted onPosted Today time left to applyEnd Date: October 30, 2026 (28 days left to apply) job requisition idR-291761 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, Product Data & Analytics Our Vision The Product Data & Analytics team builds internal analytics partnerships that strengthen focus on business health, portfolio performance, revenue optimization, initiative tracking, new product development, and go-to-market strategies.

We are a hands-on global team that delivers scalable, end-to-end data solutions in close partnership with the business. Through data-driven insights, we influence decisions across Mastercard. Our team includes analytics engineers, data architects, BI developers, data analysts, and data scientists who collectively manage our data assets and analytical solutions. What We Look For • Are you excited by the value that data assets can bring to an organization?

• Are you an advocate for data-driven decision-making? • Are you motivated to be part of a global analytics team that builds large-scale analytical capabilities for users across continents? • Are you interested in proactively improving data-driven decisions for a global corporation? Role Responsibilities • Partner with global and regional teams to design, develop, and maintain advanced reporting and data visualization capabilities using large-scale data sets across products, markets, and services.

• Translate business requirements into clear solution specifications and deliver high-quality outputs on time. • Create repeatable processes for ETL development, data modelling, and reporting. • Use analytical tools to manipulate large-scale databases, synthesize insights, and present findings through Tableau, Power BI, Excel, and PowerPoint. • Apply quality control, data validation, and cleansing processes to both new and existing data sources.

• Bring passion, curiosity, and technical expertise to every engagement. Candidate Profile • 3–5 years of experience in data engineering and management, data mining, data analytics, reporting, data product development, or quantitative analysis. • Advanced SQL skills, including the ability to write optimized queries for large data sets. • Experience writing stored procedures, functions, and views is preferred.

• Experience with platforms and environments such as Databricks, Cloudera Hadoop, big data technology stacks, SQL Server, Microsoft BI Stack, cloud platforms, Snowflake, and related technologies. • Exposure to Python, Scala, Hive, Impala, Spark, cloud technologies, and related tools. • Experience creating data pipelines using tools such as Alteryx, SSIS, or similar platforms. • Experience with at least one data visualization tool, such as Power BI, Tableau, or a similar platform.

• Exposure to AI, machine learning, or agent creation is a plus. • Advanced knowledge of job scheduling tools such as Apache Airflow, NiFi, or similar workflow orchestration tools. • Experience applying data validation, quality control, and cleansing processes to new and existing data sources. • Ability to present data findings in a clear, readable, and insight-driven format, including support decks for stakeholders.

• Ability to engage with management and internal stakeholders to gather and clarify requirements. • Ability to work effectively in a team, apply sound judgment, and operate through ambiguity. • Experience in financial institutions or payments is a plus. Education • Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related field; M.S. or M.B.A. preferred.

Additional Competencies • Excellent English language, quantitative, technical, and communication skills, both written and verbal. • Strong analytical and problem-solving skills. • High attention to detail and commitment to quality. • Creativity and innovation in approaching analytical challenges. • Self-motivated working style with a strong sense of urgency. • Project management discipline with an ability to identify and mitigate risks.

• Ability to prioritize and manage multiple tasks simultaneously. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks carry inherent risk. Everyone working for, or on behalf of, Mastercard is responsible for protecting information security and is expected to: • Abide by Mastercard’s security policies and practices. • Ensure the confidentiality and integrity of all information accessed.

• Report any suspected information security violation or breach. • Complete all required periodic security training in accordance with 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.

About Us Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers.

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