Engineer robust security data pipelines, including data ingestion, cleansing, feature engineering, and model monitoring, using structured and unstructured cyber data sources (e.g., logs, alerts, network flows, endpoint data). Experience you'll need to have: 6+ years of experience in data science or machine learning using programming languages such as Python or R to build and deploy models in production environments, preferably in cybersecurity, fraud, or risk domains.