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 will be a hybrid computer scientist/cyber threat analyst, specifically using Python, Spark, and experience working with large scale data. You need to have a strong network and protocol analysis background, and familiarity with customer tools, dataflow, anomaly detection, intrusion analysis, and data processing is beneficial.
The Level 3 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).
- Provide development, scripting, reverse engineering, and vulnerability research for CNO. Ability to perform analysis, exploitation, and TDNA/DNEA support. Familiarity with CNO tools and operational support.
Qualifications:- Doctoral degree plus 4 years of relevant experience.
- Master's degree with 6 years of relevant experience.
- Bachelor's Degree with 8 years of relevant experience.
- Associates degree with 10 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.
- Strong Python and Spark skills.
- Strong Network and Protocol Analysis background.
- Familiarity with customer tools, dataflow, anomaly detection, intrusion analysis, and data processing is beneficial.
TS/SCI with polygraph is required.
