Mastercard powers economies and empowers people in 200+ countries and territories worldwide. The Enterprise Data Quality (EDQ) team within the AI and Data Office is responsible for developing Mastercard's data quality program and driving data quality improvements.
Requirements
- Design, build, and deploy machine learning and AI-driven solutions
- Lead the development of machine learning models supporting data quality improvement use cases
- Remediation models across cloud and on-prem systems
- Perform data analysis using Python, SQL, cloud tools, and workflow automation platforms
- Apply governance standards during execution to ensure compliance with privacy regulations
- Shape strategic data sourcing decisions
- Collaborate with technical teams to run workflows and monitor pipeline performance
- Contribute to modernization efforts
- Develop educational materials and provide training on tools and processes as needed