This role is in support of a pending government opportunity. Candidates in the Chandler, AZ area are preferred.
Requirements - US Citizenship and eligibility for a Secret Clearance
- Master's or PhD degree in a quantitative field such as: Statistics, Engineering, Computer Science or Economics required OR additional experience above the minimum may be considered in lieu of the required education on a year-for-year basis
- 5+ years of experience with machine learning engineering, data science, data project engineering, or software development for data solutions
- Must have at least a Certified Analytics Professional (CAP) certification
- Experience with designing a technical solution and leading a team in the implementation of the technical design
- 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 create 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 Orchestration, Automation, and Response (SOAR) tools and capabilities
- 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 of 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 development of data visualizations and/or dashboards
