Mastercard is Hiring Data Scientist
Data Visualisation • Gurgaon, Haryana
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Job Overview
Mastercard is hiring a Data Scientist (Data Visualisation) for the Mastercard Economics Institute (MEI) in Gurgaon. The Economics Institute combines anonymized and aggregated Mastercard network data with public data to analyze economic trends and deliver actionable insights to customers, partners and policymakers.
The Data Scientist will focus on creating compelling data visualizations, developing reusable analytical functions and packages, automating analysis workflows, and creating analytical content using R Markdown and/or Quarto. The role requires strong programming, SQL, data transformation and collaboration skills.
Key Responsibilities
- Create clear and compelling data visualizations for actionable insights.
- Communicate economic insights through effective visual storytelling.
- Develop reusable functions and analytical packages for broader team use.
- Support continuous analysis automation and workflow optimization.
- Create and format analytical content utilizing R Markdown and/or Quarto.
- Write clear, well-documented, and maintainable code.
- Develop sustainable and maintainable analytical solutions.
- Clean and transform complex datasets to enable reporting and analysis.
- Aggregate data from multiple sources for precise analytical purposes.
- Work with relational databases and develop robust SQL queries.
- Apply version-control practices for effective collaborative development.
- Collaborate cross-functionally with engineers, product owners and economists.
- Manage multiple projects and prioritize tasks effectively while working independently.
Skills & Technologies
Programming & Tools
Data Visualization & Analytics
Professional Skills
Eligibility
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Experience Required: 1–3 years of experience in creating data visualizations and working with data.
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Qualification: While not explicitly specified, a degree in a quantitative or technical field (Statistics, Computer Science, Economics, etc.) is highly recommended for Data Science roles at this level.
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Core Tech Skills: Proficiency in R or Python, strong SQL skills for relational databases, and experience with data transformation/cleaning.
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Workflow Knowledge: Hands-on experience with R Markdown and/or Quarto, version control systems, and building reusable functions/packages for automation.
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Professional Skills: Creativity, passion for data and technology, strong data storytelling ability, and excellent collaboration skills to work with economists and engineers.
How to Apply
Click Apply Button
Scroll down and click the primary orange "Apply Now" button.
Visit Mastercard Portal
You will be securely redirected to the official careers portal. Search for Job ID R-288306 if required.
Submit Application
Ensure your resume highlights your R/Python skills, SQL, data visualization, and data transformation experience before the October 15, 2026 deadline.