Senior Data Scientist
4 days ago
Job Title:
Senior Data ScientistOverview:
OverviewServices within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.
We are seeking a highly skilled and motivated Senior 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.
You will:
• Lead data science projects focused on cyber analytics and fraud detection that will guide strategic decisions and uncover optimization opportunities.
• 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.
• Identify compromised payment accounts through internal and external data feeds, scanning for anomalies in payments at merchant locations, tracking common points of purchase for compromised cards, and assessing additional data sources for value-add.
• Collaborate with cross-functional teams including product, engineering, and operations to deliver scalable solutions.
• Translate clients and stakeholder needs into technical analyses and/or solutions. Communicate results and business impacts of insight initiatives to senior leadership and stakeholders.
All About You:
• Experienced in building machine learning models in Python and working with large-scale distributed data processing frameworks, such as Apache Spark and Hadoop.
• Experienced in data management and data mining with SQL, optimizing performance, building data pipelines, and quantitative analysis.
• Experience with cloud platforms, such as AWS, is a plus.
• Familiarity with the payment card industry, fraud, and cyber security.
• Familiarity with web crawling and scraping using Playwright or other frameworks would be a nice-to-have.
• Excellent communication, good presentation skills. Able to partner with a diverse set of stakeholders, from product to engineering to marketing and legal. Incisive understanding of customer needs.
• Bachelor's in Data or Computer Science, Information Technology, Engineering, Mathematics, Statistics, or similar field.
• Recognized Data Science related certifications a plus.
• Previous work experience in data science, ideally in the payments- or cybersecurity-related industry.
• Excellent quantitative, technical, and communication skills.
• Self-motivated, curious, operates with a sense of urgency.To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.
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