Mastercard is seeking a Lead Data Scientist to develop machine-learning models to monitor open banking transactions, apply various technical and statistical analytical techniques, and design and implement machine learning models for financial applications. The ideal candidate is passionate about leveraging data to provide high quality customer solutions and has experience in credit risk modeling and analytics, financial transactional structured and unstructured data, and AI.
Requirements
- Develops machine-learning models to monitor open banking transactions
- Manipulates large data sets and applies various technical and statistical analytical techniques
- Applies various Machine learning techniques to solve analytical problem statement
- Designs and implements machine learning models for financial applications
- Measures, validates, implements, monitors and improves performance of both internal and external facing machine learning models
- Proposes creative solutions to existing challenges
- Presents technical problems and findings to business leaders
- Leverages best practices in machine learning and data engineering to develop scalable solutions
- Identifies areas where resources fall short of needs
- Is a strong, confident, and excellent writer and speaker
Benefits
- Paid time off
- 401k matching
- Retirement plan
- Health insurance
- Other benefits

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