Data Scientist, Mastercard

• Hands on experience in data science with a strong focus on financial crime, AML, or fraud detection, and a demonstrated ability to lead teams while remaining an active hands-on contributor
• Strong track record of delivering production machine learning models in complex, large-scale environments, with the ability to operate across the full lifecycle from problem framing through deployment and performance evaluation
• Strong programming proficiency in Python, with hands-on experience working with large-scale datasets and distributed data platforms
• Highly autonomous and outcome-focused, with the ability to operate effectively in ambiguous environments and influence across both technical and non-technical stakeholders
• Strong stakeholder management skills, with proven ability to work effectively across Product and Experience leading engineering teams and translating complex technical work into clear direction and outcomes
• Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non technical audiences
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience

Desirable

• The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead the development and delivery of machine learning models focused on Anti-Money Laundering and crypto risk detection- protecting financial institutions and cardholders across the Americas
• In this role, you will operate as a player-coach, combining hands-on technical contribution with leadership of a small, high-performing team of data scientists
• You will own end-to-end model development, drive technical direction, and ensure strong alignment with Product and Engineering partners-playing a pivotal role in strengthening Mastercard's financial crime prevention capabilities across the region
• Lead a small team of data scientists, setting clear priorities and ensuring high-quality, outcome-focused delivery
• Act as a senior practitioner, contributing directly to the design, development, and improvement of AML and crypto risk detection models across the full lifecycle — from data preparation and prototyping through to production performance and iteration
• Define and evolve the technical roadmap for AML and crypto risk detection solutions
• Partner closely with Product teams to shape the offeåring, identify opportunities to improve model impact, and provide a clear data science perspective
• Collaborate with Engineering teams to establish effective ways of working, ensuring clear ownership boundaries and efficient delivery across systems and pipelines
• Ensure high standards of model quality, documentation, explainability, and governance