Senior Data Scientist

Mastercard is seeking a Senior Data Scientist to join their Identity Verification team in Budapest. This role sits within Mastercard's Services division, which is responsible for managing fraud and risk, enhancing cybersecurity, and improving digital experiences through data-driven insights.

The position offers an exciting opportunity to work on Mastercard's Identity Engine, an industry-leading platform that uses complex machine learning to assess risk across billions of transactions. You'll be part of a team developing sophisticated models that link digital transactions to human identities, helping to make digital commerce safer and more efficient.

As a Senior Data Scientist, you'll tackle challenging problems working with massive datasets, developing and deploying machine learning models that power real-world applications. The role requires both technical expertise in areas like Python, SQL, and distributed computing, as well as the ability to collaborate effectively with cross-functional teams.

The ideal candidate will bring strong analytical and problem-solving abilities, coupled with hands-on experience building production machine learning systems. You should be comfortable working with cloud platforms, have deep statistical knowledge, and be able to communicate complex technical concepts to different audiences.

This is an opportunity to make a significant impact at a global technology leader. You'll be working on cutting-edge machine learning applications that help protect millions of transactions while having the chance to grow your skills across multiple domains including fraud detection, identity verification, and risk assessment.

The role offers competitive compensation and benefits, along with the chance to work with talented colleagues in a collaborative environment that values innovation and technical excellence. You'll have opportunities to pioneer new approaches and see your work directly impact Mastercard's products and services.

If you're passionate about applying machine learning to solve real-world problems, have a strong quantitative background, and want to work at the intersection of technology and financial services, this role offers an excellent opportunity to advance your career while working on meaningful challenges at scale.