Work remotely in support of a government contract for a client located in Washington, DC.
Develop and support data-oriented tasks for cybersecurity solutioning.
Architect and design analytic methods using machine learning.
Requirements
Active Secret security clearance.
Bachelor’s Degree.
3+ years of experience with machine learning engineering, data science, data project engineering, or software development for data solutions.
Experience with object-oriented programming languages (such as Python, JSON, C++, Java, R, or Scala).
Experience with containerization tools, including Kubernetes and Docker.
Experience with architecting and designing novel analytic methods using machine learning methodologies.
Experience with developing and supporting data-oriented tasks for cybersecurity solutioning, including developing machine learning algorithms, data models, or architecture strategy for cyber defense purposes.
Experience with developing and engineering data workflows to merge disparate data sources and draw data-driven insights.
Experience with designing and developing automation for security tools management, and creating customized searches and applications.
Experience with Cloud Service Provider (CSP) solutions and their resources (Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS).
Experience with Security Information & Event Management (SIEM) and Security.
Ability to leverage a variety of data science capabilities and languages, analyze and resolve critical data issues using various methodologies, and ensure data integrity.
Familiarity with host and network-based security technologies.
Knowledge of MITRE ATT&CK and D3FEND frameworks.
Ability to apply analytical rigor and statistical/ML methods to analyze large amounts of data, using advanced statistical techniques.
Ability to perform analysis of structured and unstructured data to solve multiple and complex cybersecurity problems utilizing advanced statistical techniques and mathematical analyses.
Ability to support high-visibility reporting on cybersecurity data through the development of data visualizations and/or dashboards.