Cryptologic Computer Scientist
About the role
WarCollar is seeking Cryptologic Computer Scientists of all skill levels to support core Intelligence Community (IC) missions. As a Cryptologic Computer Scientist, you will design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework. Solutions derived from forensics and attack attribution, protection or critical networks, active systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support.
Required Skills
- United States citizen
- Active Top Secret clearance with Secure Compartmented Information (TS/SCI)
- Positively adjudicated polygraph
Education
- Computer Science, Computer Engineering, Electrical Engineering, Mathematics (including Applied Math) or a related field (i.e. other Engineering or Math)
- At least one programming course
- At least four upper-level math classes (Calculus and above)
About WarCollar Industries
WarCollar Industries, LLC is a veteran-owned small business. We maintain a team of cybersecurity experts committed to protecting complicated data and distribution systems and providing decision makers with the most accurate assessment of residual risk possible. We work with our clients to solve the toughest challenges in the ever-evolving digital landscape. Services include network defense, computer network attack, secure network design, penetration testing and vulnerability assessment. WarCollar enables its clients to find, fix, stop, and ultimately solve cybersecurity problems across their entire enterprise.
Benefits
- Medical insurance premium coverage
- PTO based on billable hours
- Federal holidays plus your birthday
- Matching 401k
- Education reimbursement
- Paid training days
- Performance bonuses
- Referral bonuses
- Government shutdown protection
- Monthly team building events
- Two major social events annually
Equal Opportunity Employer
WarCollar Industries, LLC is an equal opportunity employer. We do not discriminate in employment based upon race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, status as a protected military veteran, or other non-merit factor.