Note: The job is a remote job and is open to candidates in USA. Mastercard is a global leader in digital payments, and they are seeking a Senior Data Scientist to join their Security Solutions Data Science team. The role involves developing AI and ML models to enhance identity and risk capabilities in digital transactions while collaborating in an Agile environment.
Responsibilities
- Execute the research and development of machine learning and analytical approaches to identify agents and risks in agentic commerce
- Explore new data signals, behavioral patterns, and entity relationships relevant to agent-driven transaction ecosystems
- Help define problem formulations in a new domain where labels, patterns, and risk taxonomies may still be evolving
- Prototype and develop machine learning solutions using Databricks, Spark, and scalable cloud-based environments
- Drive feature engineering and experimentation across structured and potentially unstructured data sources
- Identify appropriate modeling techniques based on business context, data constraints, and problem structure
- Define and implement rigorous validation frameworks to ensure solutions are reliable, generalizable, and aligned with business objectives
- Collaborate with Product, Engineering, and other Data Science partners in an Agile environment to deliver iterative progress in a rapidly developing area
- Contribute to technical best practices across the team
Skills
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative discipline
- Strong independent research skills and resourcefulness, enabling you to find solutions and innovate
- Strong experience applying machine learning and advanced analytics to solve real-world business problems
- Strong experience writing clean, modular, and well-documented code following Data Science best practices
- Ability to collaborate effectively through code contributions, peer reviews, and shared development workflows to ensure robust, maintainable, and efficient solutions
- Strong programming skills in Python and SQL, with experience processing and analyzing large-scale datasets
- Hands-on familiarity with scalable cloud-based data science platforms such as Databricks and Microsoft Azure
- Experience with distributed data processing frameworks such as Apache Spark
- Strong background in statistical modeling, experimentation, and machine learning evaluation
- Ability to identify appropriate techniques for complex and ambiguous problems and rigorously validate solutions
- Critical thinking and a drive to produce high-quality work, ensuring that all solutions meet rigorous standards
- Demonstrated creativity and critical thinking in emerging or loosely defined problem spaces
- Understanding of Agile methodologies, with the ability to drive iterative delivery and experimentation
- Strong communication skills, including the ability to explain complex findings to technical and non-technical audiences
- Master's or PhD preferred in Data Science, Statistics, Mathematics, Computer Science, or another quantitative discipline
- Experience working with weakly labeled data or limited ground truth (i.e. heuristic approach)
- Exposure to graph analytics, entity relationships, or behavioral modeling
- Familiarity with emerging domains such as agentic systems, automation, or autonomous decisioning
- Experience with model deployment
Benefits
- May be eligible to participate in a discretionary annual incentive program
- 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. The Reasonable Accommodations team will respond to your email promptly.
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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