Mastercard's Data Engineering team aims to streamline and automate repetitive aspects of data science to accelerate innovation in AI/ML-driven fraud detection.
Requirements
- Hands-on experience working in both Python and SQL
- Knowledge of Cloud or Big Data Technologies is a plus (Data Bricks, Spark in the Cloud, Hadoop)
Responsibilities
- building high-quality, scalable ETL pipelines
- developing robust feature engineering workflows
- creating shared tools that empower data scientists across the organization
- deploying model features
- ensuring seamless integration into production environments
- accelerate innovation in AI/ML-driven fraud detection
Other
- Currently enrolled in a bachelor’s degree program majoring in Computer Science or a related field with a graduation date of Winter 2026 – Spring 2027
- Proficient in Microsoft Office applications
- Excellent communication skills
- ability and willingness to tackle complex problems
- candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship
