Security Data Scientist

We are seeking a Lead Data Scientist to design, engineer, and operationalize enterprise Security Knowledge Graphs . This role combines data science, graph engineering, cybersecurity analytics, and technical leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities Architect and implement Security Knowledge Graphs, including ontology, taxonomy, entity/relationship models, and lifecycle standards. Build production-grade ingestion pipelines from SIEM, EDR/XDR, IAM/PAM, vulnerability scanners, cloud security platforms, and threat intelligence feeds. Develop entity extraction, identity resolution, schema mapping, relationship inference, and graph enrichment capabilities. Apply graph analytics for attack paths, privilege escalation, lateral movement, toxic combinations, and vulnerability prioritization. Design and evaluate graph algorithms and ML models (centrality, clustering, anomaly detection, embeddings, GNNs). Implement GraphRAG and knowledge-grounded assistants that combine graph traversal, vector retrieval, structured evidence, and LLM reasoning. Partner with SOC, threat intelligence, IAM, vulnerability management, and cloud security teams to deliver reusable graph-powered capabilities. Mentor engineers and data scientists while leading technical reviews, coding standards, and production-readiness gates. Required Skills embeddings, link prediction, anomaly detection, GNNs. Programming