Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.
Work closely with Cyber Fraud Investigations and AI Engineering teams to establish data science frameworks and embed insights into operational processes.
Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders.
Skills:
Possess over 5 years of experience in data science and machine learning.
Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks.