Machine Learning Engineer, Global Payment Decision Science - USDS
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Die Stelle
Design and build advanced data science and machine learning solutions to solve payment-related business problems.
Translate business challenges into data-driven models for fraud prevention, AML, risk management, and user experience optimization.
Own end-to-end model lifecycle, from data labeling and feature engineering to deployment and monitoring with stakeholders.
Improve modeling infrastructure, labels, features, and algorithms for robustness, automation, and generalization.
Work with big data tools (SQL/Hive/Spark) and languages (Python/Java/Scala) to scale solutions.
Advocate for privacy and compliance in ML practices while delivering measurable business impact.
Translate business challenges into data-driven models for fraud prevention, AML, risk management, and user experience optimization.
Own end-to-end model lifecycle, from data labeling and feature engineering to deployment and monitoring with stakeholders.
Improve modeling infrastructure, labels, features, and algorithms for robustness, automation, and generalization.
Work with big data tools (SQL/Hive/Spark) and languages (Python/Java/Scala) to scale solutions.
Advocate for privacy and compliance in ML practices while delivering measurable business impact.
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