Data science jobs in Computer and Network Security industry

Data Science in Computer and Network Security

Cybersecurity is an applied ML domain. Data science powers threat detection, anomaly detection in network traffic, malware classification, user entity behavioural analytics (UEBA), and vulnerability prioritisation.

Common roles

Security data scientists, threat intelligence analysts, ML engineers building detection models, and graph analysts for identity and access management are active roles.

Key skills

Python, graph neural networks, NLP for threat intelligence, anomaly detection (isolation forests, autoencoders), familiarity with MITRE ATT&CK, and experience with SIEM platforms are valued competencies.