Cryptologic Computer Scientist 2

We are searching for a Cryptologic Computer Scientist to design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework. You will create solutions derived from forensics and attack attribution, facilitate protection of critical networks and active systems, and conduct knowledge discovery of passive and active systems, or other cryptologic computer science mission support. The right candidate will apply requisite computer science skills (operating systems, compiler theory, databased theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) to each problem to provide state-of -the-art techniques, tools, and approaches. This particular position requires access discovery and enablement experience, and you need to be familiar with analytic modernization tools. You need to have experience with automation and scripting using Python and Jupyter Notebooks. C++, any mobile app analysis experience, and CNO experience is preferred.

The Level 2 Cryptologic Computer Scientist shall possess the following capabilities:

• 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).
• NESCAA TFO
• CNO experience is preferred -- Requires Access discovery and enablement
• Analyst needs to be comfortable with XKS and DX
• Automation and scripting using Python
• Jupyter Notebook creation and proficiency. C++ and any mobile app analysis is nice to have.

Qualifications:

• Master's degree with 3 years of relevant experience.
• Bachelor's Degree with 5 years of relevant experience.
• Associates degree with 7 years of relevant experience.
• Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above).
• Relevant experience must be in a computer science area (i.e. theoretical or applied), simulation/model development, designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) computation science, algorithm analysis and design, reverse engineering, and/or designing/developing computer and information systems, including engineering hardware and/or software.

TS/SCI with polygraph is required.