Mastercard is Hiring Data Scientist II in Gurugram
Product Data & Analytics | Gurugram
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Job Overview
Mastercard is hiring a Data Scientist II to join its Product Data & Analytics team in Gurugram. This role focuses on developing advanced analytics, reporting, and data visualization solutions that support Mastercard's global Products & Innovation business. The selected candidate will work with large-scale datasets, build analytical capabilities, and provide actionable insights that drive business strategy and revenue optimization.
As a Data Scientist II, you will collaborate with global commercial teams, transform business requirements into scalable analytics solutions, develop reporting frameworks, and leverage modern data technologies to support decision-making across multiple regions. This opportunity is ideal for professionals seeking Data Science, Business Intelligence, and Analytics careers at Mastercard.
💡 Why this role?
This is an incredible opportunity to harness the power of massive global payment datasets, driving actionable insights through advanced SQL, Python, and Tableau to shape high-level business strategy.
This opportunity is ideal for candidates searching for:
Roles & Responsibilities
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Design and develop advanced analytics solutions and reporting frameworks.
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Analyze large-scale datasets to generate business insights and support revenue optimization initiatives.
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Build reporting and data visualization dashboards and create and maintain data models.
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Translate business requirements into technical solutions and develop repeatable analytics processes.
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Perform data validation and quality checks, cleanse and prepare data, and maintain reporting accuracy.
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Develop presentations, collaborate with global commercial teams, and contribute to new product initiatives.
Eligibility Criteria
Technical & Core Competence Required
Candidates must have strong expertise in **SQL Programming, Data Analytics, and Data Science methodologies**. Deep proficiency with visualization tools like **Tableau, Power BI, or Domo**, and experience in the **Microsoft BI Stack (SSIS, SSAS, SSRS)** is critical. Experience using **Python or R** for quantitative analysis is highly expected.
How to Apply
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