Data Scientist

MasterCard; New York (NY); On-site; USD 110,000 - 176,000; Full time

Benefits offered by this job

Health insurance

401k with company match

Paid parental leave

Vacation days

Fitness reimbursement

Tuition reimbursement

Job summary

Mastercard is seeking a Data Scientist to build data-driven analytical solutions, including predictive models, across products and markets. You will work with cross-functional teams to translate stakeholder needs into analyses and scalable fraud-focused insights.

The role emphasizes experience with Python, large-scale data processing (Spark/Hadoop/Databricks), and data mining with SQL, aiming to enhance security and drive business impact across Mastercard's global network.

Qualifications

• Bachelor's or Master's degree in Data Science, CS, IT, Engineering, Math, Stats, or similar fields.
• Strong work experience in data science, ideally in payments or cybersecurity.
• Experience building statistical and machine learning models in Python and working with large-scale distributed data processing frameworks (Spark, Hadoop, Databricks).
• Experience in data management and data mining with SQL, building data pipelines, and quantitative analysis.

Responsibilities

• Gain knowledge on web application security, cyber vulnerabilities, and fraud vectors.
• Develop and maintain data-driven analytical solutions, including predictive models and ML algorithms.
• Handle large datasets, identifying patterns and translating insights into technical rules.
• Combine cybersecurity and transaction data to view fraud and vulnerabilities across Mastercard network.
• Collaborate with product, engineering, and operations to deliver scalable solutions.
• Translate client needs into analyses and communicate results to senior leadership.
• Design metrics to track usage, model performance, and outcomes to improve security and engagement.

Skills

Python

SQL

Graph databases

Graph neural networks

Machine learning

Communication

Education

Bachelor's or Master's in Data Science or related field

Tools

Apache Spark

Hadoop

Databricks

Job description

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 Data Scientist

What will you do?

• Gain subject matter knowledge on web application security, commonly exploited cyber vulnerabilities, and methods of online and payment card fraud including the common points of purchase for compromised cards.
• Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services.
• Competently handle large datasets, sifting for patterns and trends and translating those insights into technical rules and solutions.
• Combine cybersecurity and transaction data into new and insightful views of fraud and vulnerability across the Mastercard network.
• Collaborate with cross-functional teams including product, engineering, and operations to understand product, usage, and data pipelines as well as delivering scalable solutions.
• Translate clients and stakeholder needs into technical analyses and/or solutions. Communicate results and business impacts of analytical insight to senior leadership and stakeholders.
• Design metrics to track product usage, model performance and other outcomes of interest, with the aim of increasing engagement and improving the security landscape.

All About You:

• Bachelor's or Master's degree in Data Science, Computer Science, Information Technology, Engineering, Mathematics, Statistics, or similar fields.
• Strong work experience in data science, ideally in the payments- or cybersecurity-related industry.
• Experienced in building statistical and machine learning models in Python and working with large-scale distributed data processing frameworks, such as Apache Spark, Hadoop and Databricks.
• Experienced in data management and data mining with SQL, optimizing performance, building data pipelines, and quantitative analysis.
• Self-starter with passion for solving problems.
• High energy level; flexible, adaptive and strong collaborator.
• Well planned, organized & structured to manage time & work effectively.
• Excellent communication skills.
• Passion for cybersecurity and profound interest in learning new tools, threat vectors, attack techniques, technologies, and best practices in preventing cybersecurity incidents.
• Previous experience with graph database and graph machine learning including graph neural network.

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 [e-mail] 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.

Pay Ranges

New York City, New York: $110,000 - $176,000 USD

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

Mastercard benefits for interns generally include:

• 56 hours of Paid Sick and Safe Time
• jury duty leave
• on-site fitness facilities in some locations

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.