Lead Data Scientist

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

Lead Data Scientist

Job Description

• Own the full machine learning lifecycle: data analysis, model development, ideation, proof of concept, production deployment, monitoring, and optimization
• Lead the design, development, evaluation, and optimization of agentic and generative AI systems for production use
• Define and enforce quality standards for agentic AI, ensuring reliability, consistency, business relevance, and compliance
• Develop robust methods to evaluate, monitor, and set guardrails for non-deterministic AI systems
• Optimize AI solutions across accuracy, latency, and cost
• Build and maintain self-optimized and continuously learning algorithms
• Drive advanced personalization initiatives, including personalized ranking, and contextual recommendation strategies
• Apply cutting-edge AI techniques to solve complex business problems
• Lead rigorous experimentation and statistical analysis to guide decision-making and validate impact
• Conduct ongoing research by analyzing industry trends, academic publications, and competitor approaches to drive innovation
  
  

• Master’s/PhD in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
• Strong programming skills in Python, Github, Vibe Coding
• Solid background in theoretical statistics
• Hands-on experience in machine learning and deep learning
• Intensive experience in structured and unstructured data
• Proven experience with recommendation systems and personalization
• Experience in data analysis, experimentation, and visualization
  
  

• 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.