Mastercard

3 weeks ago

Data Scientist II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Build advanced reporting and data visualization capabilities for the Products & Innovation Global Commercial team. Translate business requirements into solution specifications and deliver high-quality analytics on time. Create repeatable modeling and reporting processes, perform data quality control and cleansing, and use advanced SQL to manipulate large datasets. Share first-level insights and assessments with stakeholders using Excel, PowerPoint, and BI tools.

Location: Gurugram

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data for Products & Innovation Global Commercial.
•Translate business requirements into solution specifications and deliver high-quality analytics on time.
•Create repeatable processes to support development of modeling and reporting.
•Use tools to manipulate large-scale databases, synthesize insights, and present first-level assessments using Excel and PowerPoint.
•Apply quality control, data validation, and cleansing processes to new and existing data sources.

Key Requirements

•Experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis.
•Advanced SQL coding and experience with data analytics/reporting capabilities.
•Experience with SQL Server and the Microsoft BI Stack (added advantage: SSIS, SSAS, SSRS).
•Experience presenting data findings in an insight-driven format and building support decks.
•Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or related fields (M.S./M.B.A. preferred).

Experience:PaymentsFinancial servicesData analytics

Education:Master's in Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A.

Skills:Problem-solvingQuantitative analysisAnalytical thinkingCommunicationAttention to detail

Languages:English

Tech Stack:SQLSQL ServerMicrosoft BI StackSSISSSASSSRSExcelPowerPointTableauDomoPowerBIHadoopPythonR

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

3 weeks ago

Data Scientist II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data for Products & Innovation Global Commercial.
•Translate business requirements into solution specifications and deliver high-quality analytics on time.
•Create repeatable processes to support development of modeling and reporting.
•Use tools to manipulate large-scale databases, synthesize insights, and present first-level assessments using Excel and PowerPoint.
•Apply quality control, data validation, and cleansing processes to new and existing data sources.

Key Requirements

•Experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis.
•Advanced SQL coding and experience with data analytics/reporting capabilities.
•Experience with SQL Server and the Microsoft BI Stack (added advantage: SSIS, SSAS, SSRS).
•Experience presenting data findings in an insight-driven format and building support decks.
•Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or related fields (M.S./M.B.A. preferred).

Experience:PaymentsFinancial servicesData analytics

Education:Master's in Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A.

Skills:Problem-solvingQuantitative analysisAnalytical thinkingCommunicationAttention to detail

Languages:English

Tech Stack:SQLSQL ServerMicrosoft BI StackSSISSSASSSRSExcelPowerPointTableauDomoPowerBIHadoopPythonR

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor