Teams at Yum! Brands

Serve as primary SIEM/SOC escalation point: investigate and triage network security events, document findings, communicate with stakeholders, tune detections, oversee threat and vulnerability management, implement automations with platform teams, and lead brand collaboration calls. Provide incident response, threat intelligence analysis, and occasional on-call support across a global enterprise.

Develop, validate, and improve machine learning models (regression, classification, forecasting, optimization). Prepare data, perform feature engineering, train and evaluate models, and support deployment with Data/ML Engineering. Communicate results, document methods, and collaborate on experiments and cross-functional initiatives.

Design, develop, and deploy scalable machine learning models and data pipelines for production. Collaborate with data scientists, engineers, and stakeholders, optimize model performance and scalability, automate deployments, monitor production systems, and evaluate emerging ML and cloud technologies to drive business outcomes.