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About the Role
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.
Responsibilities
- Gain subject matter knowledge on web application security, commonly exploited cyber vulnerabilities, and methods of online and payment card fraud.
- Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data.
- 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 to understand product, usage, and data pipelines as well as delivering scalable solutions.
- Translate client 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.
Requirements
- 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.
- Experienced 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.
Skills
- Data Science
- Cyber Analytics
- Predictive Modeling
- Machine Learning
- Data Mining
- Python
- Apache Spark
- Hadoop
- Databricks
- SQL
- Graph Database
- Graph Machine Learning
- Graph Neural Network
- Cybersecurity
- Payment Fraud
Location
- New York City, New York
Work Type
- Full-time
Experience Level
- Strong work experience
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- $110,000 - $176,000 USD
Benefits
- 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
- 5 personal days
- 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
About the Company
- Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
- We are 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.
- 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.
Equal Opportunity
- 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.