Director, Data Scientist na Mastercard

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

Director, Data Scientist

Director of Data Science – Security Solutions


About Mastercard

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.


Team Overview

The Security Solutions Data Science team develops and deploys AI/ML models powering Mastercard’s authentication and authorization networks, with a focus on fraud and financial crime prevention. We deliver production-ready models and automated, scalable pipelines for Fortune 500 clients in fintech and banking.


Role Overview

As Director of Data Science, you will deliver innovative, production-quality financial crime detection models as part of a high-performing team of data scientists. You will drive the full model lifecycle—from data extraction to deployment and evaluation—ensuring solutions are scalable, resilient, and aligned with business needs.
Senior leaders in our team epitomize enterprising autonomy, endless curiosity, and excellence through improvisation. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model build and evaluation processes.


Key Responsibilities

- Be a senior practitioner and lead a team of data scientists delivering production quality models that screen transaction networks.
- Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products.
- Work with disparate sources of data, storage systems, and build processes and pipelines to provide cohesive datasets for analysis and modelling.
- Ensure high standards of code quality, model governance, and process maturity.
- Contribute to research and development of new AI/ML solutions and complex projects as a senior practitioner.
- Collaborate with Product, Engineering, and Commercial teams to align model development with business requirements and customer value.
- Set the roadmap and identify methods and approaches that enhances the performance of existing fraud detection models.


Essential Skills

- Extensive experience in data science, preferably in the financial crime space, and significant leadership roles.
- Demonstrated expertise in full lifecycle model development, deployment, and evaluation for complex, real-time problems.
- Strong programming skills in Python; experience with SQL and Linux/Bash.
- Experience with XGBoost or other similar frameworks.
- Proven track record in payment fraud detection or financial crime modelling.
- Excellent communication, problem-solving, and stakeholder management skills.
- Exhibits a high degree of initiative.
- Bachelor’s degree in Computer Science, Data Science, or a related STEM field.


Preferred Skills

- Advanced degree (Master’s or PhD) in Computer Science, Data Science, Machine Learning, AI, or related field.
- Experience with large-scale data engineering and model building on petabyte-scale datasets.
- Knowledge of model evaluation for bias, inaccuracy, and error.
- Experience in lean data science and product-focused development.
- Loves working with error-prone, messy, disparate, unstructured data.

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.

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