Data Scientist II
Core
Data Scientist II developing machine learning algorithms, data models, and architecture strategy for cyber defense purposes to support government cybersecurity solutions.
Role type
Data Scientist II (Cybersecurity)
Builds
Cybersecurity data solutions, machine learning algorithms, and data-driven insights for federal agencies.
Domain
Cybersecurity / Federal Government
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 solutions (IaaS, SaaS, PaaS), SIEM management, MITRE ATT&CK and D3FEND frameworks
Preferred skills
Architecting novel analytic methods, merging disparate data sources, automation for security tools
Technologies
Python, JSON, C++, Java, R, Scala, Kubernetes, Docker, SIEM, Cloud Service Providers (IaaS, SaaS, PaaS)
Responsibilities
Develop and support data-oriented tasks for cybersecurity solutioning, including developing machine learning algorithms and data models; engineer data workflows to merge disparate data sources and draw data-driven insights; 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 structured and unstructured data to solve complex cybersecurity problems.
Seniority
Mid-level (3+ years experience)