Senior Data Scientist

Mastercard
Gurugram
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Presentation","Problem-solving","Mentoring"]

Build scalable, data-driven solutions for Mastercard’s Global Pricing & Interchange team, using advanced analytics, predictive modeling, and machine learning to turn complex data into actionable insights. Conduct profitability, segmentation, forecasting, simulation, and optimization analyses to support revenue optimization and commercial decision-making. Develop analytics dashboards and self-service capabilities, design data pipelines and data products, and partner across Pricing, Strategy, Finance, Product, Technology, and regional teams. Mentor junior team members.

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FursaFursa
Mastercard
Mastercard
4 days ago

Senior Data Scientist

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Status: Live

Job Summary

Build scalable, data-driven solutions for Mastercard’s Global Pricing & Interchange team, using advanced analytics, predictive modeling, and machine learning to turn complex data into actionable insights. Conduct profitability, segmentation, forecasting, simulation, and optimization analyses to support revenue optimization and commercial decision-making. Develop analytics dashboards and self-service capabilities, design data pipelines and data products, and partner across Pricing, Strategy, Finance, Product, Technology, and regional teams. Mentor junior team members.
Location: Gurugram
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop advanced analytics, predictive models, and data science solutions to support pricing, interchange, and commercial strategy initiatives.
  • •Perform complex profitability, segmentation, forecasting, simulation, optimization, and revenue analytics.
  • •Design and maintain reporting, dashboards, data visualizations, and self-service analytical capabilities.
  • •Build and enhance data pipelines, analytical datasets, and scalable data products using modern cloud and big data technologies.
  • •Partner across Pricing, Strategy, Finance, Product, Technology, and regional teams; present findings to senior leadership and mentor junior team members.

Key Requirements

  • •5+ years of experience in data science, advanced analytics, quantitative modeling, business intelligence, or related disciplines.
  • •Strong expertise in data management, data mining, data modeling, predictive analytics, and data product development.
  • •Advanced SQL experience with large-scale, complex datasets.
  • •Programming experience in Python and big data technologies such as Spark, Hive, Scala, or Impala.
  • •Bachelor’s degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Finance, or related); Master’s/MBA preferred.
Experience:5+ yearsFintechPaymentsFinancial servicesPricingCommercial analytics
Education:Bachelor's in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Finance, or related field
Skills:CommunicationStakeholder managementPresentationProblem-solvingMentoring
Tech Stack:SQLPythonSparkHiveScalaImpalaHadoopClouderaSnowflakeDatabricksAzureAWSMicrosoft FabricSQL ServerAlteryxSSISPower BITableauApache AirflowNiFi

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
Glassdoor: 4.1
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