# Data Scientist [Mastercard](https://www.jorb.ai/firms/mastercard.md) · New York · United States · [Research / Applied Science](https://www.jorb.ai/jobs/research-applied-science.md) Mastercard is hiring a Data Scientist in New York. Posted 2026-09-21; applications close 2026-11-20. **Apply**: https://careers.mastercard.com/us/en/job/MASRUSR291128EXTERNALENUS/data-scientist Posted 5d ago. ## Role details ## Our Purpose Mastercard powers economies and empowers people in more than 200 countries and territories worldwide. Together with our customers, we are helping build a sustainable economy where everyone can prosper. We support a wide range of digital payment 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. ## Data Scientist ## What Is the Opportunity? We are seeking a highly skilled and motivated Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains. ## What Will You Do? - Gain subject matter knowledge of web application security, commonly exploited cyber vulnerabilities, and methods of online and payment card fraud, including common points of purchase for compromised cards. - Build, develop, and maintain innovative, data-driven analytical solutions, including predictive models and machine learning algorithms, using large volumes of data to support analytics and reporting needs across products, markets, and services. - Handle large datasets, identify patterns and trends, and translate insights into technical rules and solutions. - Combine cybersecurity and transaction data to develop new and insightful views of fraud and vulnerabilities across the Mastercard network. - Collaborate with cross-functional teams, including product, engineering, and operations, to understand products, usage, and data pipelines while delivering scalable solutions. - Translate client and stakeholder needs into technical analyses and solutions. Communicate analytical insights and their business impact to senior leadership and stakeholders. - Design metrics to track product usage, model performance, and other outcomes, 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 a related field. - Strong professional experience in data science, ideally in the payments or cybersecurity industry. - Experience building statistical and machine learning models in Python and working with large-scale distributed data processing frameworks such as Apache Spark, Hadoop, and Databricks. - Experience with data management and data mining using SQL, performance optimization, data pipeline development, and quantitative analysis. - Self-starter with a passion for solving problems. - High energy level, flexibility, adaptability, and strong collaboration skills. - Well-planned, organized, and structured approach to managing time and work effectively. - Excellent communication skills. - Passion for cybersecurity and a strong interest in learning about new tools, threat vectors, attack techniques, technologies, and best practices for preventing cybersecurity incidents. - Previous experience with graph databases and graph machine learning, including graph neural networks. ## Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks carry an inherent risk to the organization. Therefore, 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. - Complete all periodic mandatory security training in accordance with Mastercard’s guidelines. ## Compensation and Benefits In line with Mastercard’s total compensation philosophy, and assuming that the job will be performed in the United States, 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 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, and life insurance; flexible spending and health savings accounts; paid leave, 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 five personal days, prorated based on the date of hire; 10 annual paid U.S. observed holidays; a 401(k) plan with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; tuition reimbursement eligibility; and additional benefits. Mastercard benefits for interns generally include 56 hours of Paid Sick and Safe Time, jury duty leave, and access to on-site fitness facilities in some locations. ## Pay Range New York City, New York: $110,000–$176,000 USD ## Equal Opportunity and Accommodations Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the United States 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 promptly. ## Applying to this role This Data Scientist role at Mastercard runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. 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