About Us

At Mastercard, we're powering economies and empowering people, building ​ a sustainable economy where everyone prospers.

Size: 10000+ employees
Industry: Consulting, Financial Services, Technology, Fintech

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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:

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:

• Lead, design, develop, and deliver innovative solutions for various data science projects.
• Be responsible for documenting and articulating various data science projects across the organization following our engagement model, the Cross-Industry Standard Process for Data Mining (CRISP-DM).
• Present results in either peer-reviewed papers or presentations at scientific and business conferences
• Gain mastery of business operations and data needed to solve problem statements for specific projects.
• Pull and prepare data, train and test models, and be responsible for overall execution on projects using Mastercard operational and transaction data to glean insights for our partners.
• Present your approach to the solution and model output to various business partners.
• Maintain a current knowledge of advanced TDA as well as ML/AI tools and techniques.
• Work with different partner teams and be an integral part of model deployment.
• Need to build and maintain strong relationships with internal Mastercard partners.

About You:

• Master's or PhD in Pure or Applied Mathematics, or an allied field, with in-depth knowledge of topology, preferably topological data analysis
• Experience leading research projects, with a passion for problem-solving using mathematics, statistics, machine learning, and artificial intelligence.
• Leadership experience, either in a business setting or the classroom
• Ability to quickly pick up new tools and technologies.

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• Excellent oral and written communication skills.
• Experience in predictive modeling, data science, and analysis in both batch and streaming settings.
• Proficiency in Python/R, Hadoop, Spark, MySQL with documentation for reproducibility.
• Experience in anomaly detection, supervised/unsupervised learning, time-series data, and natural language processing. Experience in entity resolution is a plus• Hands-on experience with ML tools such as Numpy, Sci Py, Pandas, Scikit-learn, Tensorflow, Keras, NLTK, Gensim, BERT, NetworkX, etc.
• Proficient with data visualization and translating complex problems into actionable insights.

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.

Pay Ranges

Purchase, New York: $159,000 - $254,000 USD

New York City, New York: $166,000 - $265,000 USD

O'Fallon, Missouri: $138,000 - $221,000 USD

Client-provided location(s): New York, NY

Job ID: Mastercard-22331_R-259080-fefa0a20ec8703b4288a34cb4b7a68ce

Employment Type: OTHER

Posted: 2025-09-12T19:25:15
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Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• FSA
• FSA With Employer Contribution
• HSA
• HSA With Employer Contribution
• Fitness Subsidies
• On-Site Gym
• Pet Insurance
• Mental Health Benefits
• Virtual Fitness Classes
• Health Reimbursement Account

Parental Benefits

• Birth Parent or Maternity Leave
• Non-Birth Parent or Paternity Leave
• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources
• On-site/Nearby Childcare
• Adoption Leave

Work Flexibility

• Flexible Work Hours
• Remote Work Opportunities
• Hybrid Work Opportunities

Office Life and Perks

• Commuter Benefits Program
• Casual Dress
• Happy Hours
• Snacks
• Company Outings
• On-Site Cafeteria
• Holiday Events
• Some Meals Provided

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence
• Volunteer Time Off

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Relocation Assistance
• Financial Counseling
• Stock Purchase Program
• 401(K)
• Company Equity

Professional Development

• Tuition Reimbursement
• Promote From Within
• Mentor Program
• Access to Online Courses
• Lunch and Learns
• Internship Program
• Work Visa Sponsorship
• Leadership Training Program
• Associate or Rotational Training Program
• Shadowing Opportunities

Diversity and Inclusion

Employee Resource Groups (ERG)

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