Data Scientist

We are looking for a Security Knowledge Graph Specialist to build, maintain, and optimize cybersecurity knowledge graphs that provide contextual intelligence across enterprise security ecosystems. The role involves integrating security data, modeling relationships, and enabling advanced threat detection and AI-driven security analytics.

Key Responsibilities

• Design and develop enterprise-scale Security Knowledge Graphs.
• Create ontologies, schemas, and graph data models for cybersecurity domains.
• Integrate data from SIEM, SOAR, IAM, CMDB, Vulnerability Management, Threat Intelligence, and Security Operations platforms.
• Build graph-based threat hunting and attack path analysis solutions.
• Develop AI-driven security insights using graph analytics.
• Enable cyber asset discovery, risk scoring, and contextual security intelligence.
• Collaborate with SOC, Threat Intelligence, IAM, and Security Architecture teams.

Required Skills

Graph Technologies

• Neo4j
• TigerGraph
• Amazon Neptune
• GraphDB
• Apache Jena
• RDF, OWL, SPARQL

Cybersecurity

• SIEM (Splunk, Sentinel, QRadar)
• Threat Intelligence Platforms
• MITRE ATT&CK Framework
• Cyber Kill Chain
• Vulnerability Management
• IAM/PAM

Programming & Data

• Python
• Cypher Query Language
• SQL
• Data Modeling
• ETL/ELT Pipelines

AI & Analytics (Preferred)

• Graph Neural Networks (GNN)
• Network Analysis
• Knowledge Representation
• Generative AI for Security
• LLM-powered Security Assistants

Preferred Qualifications

• Experience building Cybersecurity Knowledge Graphs.
• Understanding of Zero Trust Architecture.
• Certifications such as CISSP, Security+, CEH, Azure Security Engineer, or Neo4j Certified Professional.
• Experience in large-scale enterprise security transformation programs.