Cryptologic Computer Scientist Level 2

Job Description

Design, develop, deliver and operate solutions to hard cryptologic computer science problems within a scientific framework.
The solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support. Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures) are applied to each problem to provide state-of-the-art techniques, tools, and approaches.

Required Skills

• Cybercrime JS team
• XKS Experience
• General C++ familiarity and programming logical flow
• Regex
• Network traffic analysis
• Network detection signatures Snort and Suricata

Education and Experience

• Bachelor's degree plus 5 years of relevant experience
• Master's degree plus 3 years of relevant experience
• Doctoral degree and 2 years of relevant experience
• Associate's degree plus 7 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  
• Degree must be in Computer Science (CS).
• Related fields (e.., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology (IT) or Information Systems (IS) degrees may be considered relevant if the programs contain the amount and type of coursework equivalent to a CS major.
  
• Relevant experience must be in computer systems research; simulation/model development and prototyping; software design; programming; computational science; algorithm analysis and design; reverse engineering; and/or designing/developing computer or information systems, including engineering hardware and/or software.