Senior Data Scientist
Mastercard (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 35–60 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy enterprise-scale AI and machine learning models to enhance fraud detection, risk scoring, and anomaly detection across Mastercard's Security Solutions.
- Build scalable AI/ML pipelines including model training, validation, deployment, monitoring, and retraining, with a focus on real-time decisioning systems using large-scale transactional data.
- Develop and implement advanced Generative AI and Agentic AI solutions leveraging LLMs, multi-agent orchestration, and integrate AI innovations into scalable fraud and security capabilities.
Minimum Requirements
- Strong programming skills in Python and experience building production-quality software.
- Hands-on experience with distributed computing technologies (e.g., Spark, Databricks) and cloud platforms (Azure, AWS, GCP) for AI/ML solutions.
- Solid understanding and practical experience with machine learning model development, deployment, MLOps practices, and working with SQL and large-scale datasets.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience with fraud detection, risk management, financial crime, cybersecurity, or trust & safety AI applications.
- Demonstrated expertise in Generative AI, prompt engineering, Agentic AI frameworks, reasoning/planning workflows, and large-scale AI system productionization.
- Background in research or innovation including publications, patents, or contributions to AI/ML open-source projects indicating strong applied AI research capabilities.