Data Scientist II
Core
Develop machine learning algorithms, data models, and architecture strategies for cyber defense and security solutioning.
Role type
Data Scientist II (Cybersecurity)
Builds
Cybersecurity solutions, data workflows, and security tool automation for government clients.
Domain
Cybersecurity / Machine Learning
Deliverable
production ML models | dashboards & analysis
Required skills
Machine learning engineering, object-oriented programming (Python, C++, Java, R, Scala), containerization (Kubernetes, Docker), data workflow engineering, statistical analysis, data visualization, cloud service provider (CSP) solutions, SIEM, MITRE ATT&CK and D3FEND frameworks.
Preferred skills
Architecting novel analytic methods, merging disparate data sources, host and network-based security technologies.
Responsibilities
Develop and support data-oriented tasks for cybersecurity solutioning, engineer data workflows to merge disparate data sources, design and develop automation for security tools management, support high-visibility reporting on cybersecurity data through data visualizations and dashboards, apply analytical rigor and statistical/ML methods to analyze large amounts of data.
Seniority
Mid-level, hands-on IC