Lead Data Scientist, NBM Analytics & Impact

Mastercard Inc.; Portugal; On-site; EUR 70,000 - 95,000; Full time

Job summary

Mastercard Inc. in Portugal seeks a Lead Data Scientist for the NBM Program Performance to design and maintain a clear analytics framework, dashboards, and recurring insights measuring ecosystem harm, intervention effectiveness, and stakeholder outcomes across global regions.

The role requires translating complex network, fraud, dispute, and financial data into concise decision support for governance forums, executive communications, and strategy, while building reusable models, data lineage,

Qualifications

• Bachelor’s degree in analytics, economics, finance, statistics, computer science, engineering, business, or a related discipline is required.
• Proven ability to build and maintain executive dashboards translating complex datasets into clear insights.
• Strong quantitative skills including metric design, trend analysis, and scenario analysis.
• Experience with governance, data lineage, quality controls, and reproducibility.

Responsibilities

• Develop and maintain a clear NBM analytics framework measuring ecosystem harm and intervention effectiveness.
• Build, maintain, and improve dashboards showing TPE performance, geographic trends, and data quality indicators.
• Produce monthly, quarterly, and annual program analytics for governance forums and executives.
• Create reusable analytical models and documentation including metric definitions and data lineage.

Skills

Power BI

Tableau

SQL

Python

Education

Bachelor’s degree in analytics, economics, finance, statistics, computer science, engineering, business, or a related discipline

Tools

Power BI

Tableau

SQL

Python

Job description

Mastercard Inc. in Portugal seeks a Lead Data Scientist for the NBM Program Performance to design and maintain a clear analytics framework, dashboards, and recurring insights measuring ecosystem harm, intervention effectiveness, and stakeholder outcomes across global regions.

The role requires translating complex network, fraud, dispute, and financial data into concise decision support for governance forums, executive communications, and strategy, while building reusable models, data lineage,