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

Vice President, Data Scientist

Overview

The Security Solutions Data Science team’s purpose is to use AI to secure the legitimate movement of money for everyone. The models generated are production ready and created to back specific products in Mastercard’s authentication, authorization networks and A2A payment networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.

You will be joining a team of Data Scientists and engineers working on innovative AI and ML models solving real world business problems. 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.

Role

As a VP of Data Scientist, you will:

• Be the most senior practitioner and lead multiple teams of data scientists delivering production quality models that run in real time to screen transaction networks.

o Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer-facing products

o Oversee and hold accountable your team’s work with multiple disparate sources of data, storage systems, and build processes and pipelines to provide cohesive datasets for analysis and modeling

o Oversee and hold accountable your team’s creation and maintenance of pipelines for model building and model performance evaluation

• Overall responsibility to ensure teams are developing, testing, and evaluating modern machine learning and AI models for multiple products
• Interface with platform production teams to support implementation of models
• Oversee and hold accountable your team’s to evaluate production models based on business metrics to drive continuous improvement
• Build and maintain relationships across the organization to understand product needs and influence platform engineering roadmaps to support latest model designs.

All About You

Essential Skills:

• Extensive data science experience and significant leadership roles
• Demonstrated full lifecycle model development, deployment and evaluation for complex problems
• Experience with SQL language and the following technologies: PySpark, Hadoop, Databricks
• Good knowledge of Linux / Bash environment
• Python
• XGBoost
• Good communication skills
• Highly skilled problem solver
• Exhibits a high degree of initiative
• At least an undergraduate degree in CS, or a STEM related field
• Prior experience in payment fraud detection or AML modeling

Nice to have:

• PhD/Master’s in CS, Data Science, Machine Learning, AI or a related STEM field
• Experience in with data engineering and model building in PySpark using Spark ML on petabyte scale data
• Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error
• 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.