Senior Data Scientist

Mastercard Inc.; Dundrum; On-site; EUR 90,000 - 120,000; Full time

Job summary

Mastercard is seeking a Senior Data Scientist to join the Test & Learn team, driving analytics research and deployment of innovative data-science methods in real-world business challenges. You will shape experimental strategies, partner with product and engineering, and mentor teammates to foster growth.

You will apply advanced ML, causal inference, and AI techniques to high-volume datasets, translating insights into scalable products and commercial solutions for global clients.

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 business acumen to identify applications of technology to solve commercial questions
• Experience applying innovative analytics to high volume datasets to influence business decisions
• Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams
• Exceptional project management and problem-solving ability, with a focus on timelines and risk/benefit tradeoffs
• Degree(s) in statistics, mathematics, computer science, engineering, or similar area preferred

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

5+ years data science

ML applications

causal inference

generative AI

analytical mindset

communication skills

project management

team collaboration

Education

Degree in statistics/mathematics/CS/engineering

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Data Scientist

Senior Data Scientist, Test and Learn

Overview

The Services team is a key differentiator for Mastercard, providing cutting-edge products and services that help our customers. Focused on thinking big and scaling quickly around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base including issuers, acquirers, and merchants. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business experimentation and optimization (Test & Learn), and data-driven information and risk management services.

Test & Learn

As a member of the Test & Learn team, you will pioneer industry-leading experimentation software which brings sophisticated analytic techniques to businesses and users around the world. We are rapidly building new products, improving existing products, and expanding the ways we deliver Test & Learn to our clients. We are looking for innovators who can execute and evolve our analytic strategy, tackling the big challenges of the future. This role will focus on analytic research; pushing the boundaries for our analytics by finding ways to apply new data science methods to top business challenges and translating it into novel products, and scalable commercial solutions.

Position 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.

All About You

5+ years experience in data science OR equivalent graduate coursework.

Experience of 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, coupled with strong business acumen to identify applications of technology to solve commercial questions

Experience applying innovative analytics to high volume datasets to influence business decisions

Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.

Exceptional project management and problem-solving ability, with a focus on setting ambitious and achievable goals, managing timelines across multiple workstreams, and prioritizing risk/benefit tradeoffs.

Enthusiastic about opportunities to collaborate with and mentor teammates to foster a supportive and growth-oriented team culture.

Degree(s) in statistics, mathematics, computer science, engineering, or similar area preferred

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.