Senior Data Scientist - Test & Learn & Analytics

Mastercard Inc.

Lusk

On-site

EUR 120,000 - 170,000

Full time

5 days ago
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Job summary

Mastercard Inc. is seeking a Senior Data Scientist for the Test and Learn team. You will drive analytics strategies, apply advanced data science methods, and translate findings into scalable products for global clients including issuers, acquirers and merchants.

You will partner with product, engineering and business stakeholders to define experiments, implement analytics, and deliver data-driven insights that inform strategic decisions across the Mastercard platform.

Qualifications

  • 5+ years experience in data science OR equivalent graduate coursework.
  • Experience applying machine learning, causal inference, and/or generative and agentic AI to real world problems.
  • Strong technical aptitude and ability to understand complex technical concepts, with business acumen to identify applications of technology to solve commercial questions.

Responsibilities

  • Drive the research of new functionality within an analytics platform used by the world's largest organizations to make critical, multi-million-dollar decisions.
  • Work cross-functionally with product management to understand and solve customer needs requiring novel analytic solutions
  • Work hand-in-hand with engineering teams to help guide the implementation of your analytic ideas into our products
  • Collaborate with leaders across the business unit to identify problems and drive innovative solutions.

Skills

Data science
Machine learning
Causal inference
Generative AI
Agentic AI
Strong communication
Project management
Business acumen

Education

Degree in statistics / mathematics / CS / engineering

Job description

Mastercard Inc. is seeking a Senior Data Scientist for the Test and Learn team. You will drive analytics strategies, apply advanced data science methods, and translate findings into scalable products for global clients including issuers, acquirers and merchants.

You will partner with product, engineering and business stakeholders to define experiments, implement analytics, and deliver data-driven insights that inform strategic decisions across the Mastercard platform.

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