Data Scientist

Overview

Mastercard powers economies and empowers people in over 200 countries and territories. The company is building a sustainable digital payments ecosystem. In this role, as a Data Scientist on the Cyber Analytics team within the Security Solutions Data Science organization, you will drive advanced analytics initiatives, improve fraud detection capabilities, and support strategic decision-making across cybersecurity and payment fraud domains.

You Will

Your primary responsibilities include:

• Building and maintaining data-driven analytical solutions and predictive models.
• Developing machine learning algorithms to analyze large volumes of data.
• Identifying compromised payment accounts through multi-source data analysis.
• Collaborating with cross-functional teams including product, engineering, and operations.
• Translating stakeholder needs into technical analyses and communicating insights.

All About You

The ideal candidate is experienced in Python machine learning, data mining, SQL performance optimization, and has familiarity with big data frameworks like Apache Spark and Hadoop. Experience with cloud platforms such as AWS and a background in payments, fraud, or cybersecurity is a plus.

Corporate Security Responsibility

All employees must abide by Mastercard’s security policies. This includes ensuring confidentiality, reporting security breaches, and completing mandatory security trainings.

Key skills/competency

• Data Science
• Machine Learning
• Python
• SQL
• Big Data
• Cybersecurity
• Fraud Detection
• Data Mining
• Predictive Modeling
• Cloud Computing