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
Senior Data Scientist
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. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
The Foundational AI team is looking for a Data Scientist who is passionate about applying concepts from Topological Data Analysis (TDA) to Machine Learning and Artificial Intelligence problems in a business setting. The person in this role will be joining a team of leading-edge data scientists who are not just building models but are working to solve foundational business problems for the Company while making scientific contributions to the Data Science community.
The ideal candidate is comfortable with Topological Data Analysis concepts like Persistent Homology and applying them to Big data sources, predictive, and descriptive models to provide insights and solutions for different business problems. The person in this role will be responsible for data interpretation and presentation to aid business partners in making informed data-driven decisions to improve business outcomes. The right candidate is able to collaborate with other data scientists and various internal business partners to help solve business problems using advanced ML/AI and TDA. The person in this role must be organized and follow best practices in coding and documentation.
Responsibilities:
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