Data Scientist: Cyber Fraud & Security Analytics

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

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.