We're searching fortalented individuals who provide intelligence, statistical analysis and programming expertise for the Government.This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, thencome join us!

Job Description:

Looking for a Cryptanalytic Computer Scientist proficient in Python development within Kubernetes clusters (Docker, Kubernetes, Python), with additional skills in data analysis, machine learning, and clustering. This role involves leveraging Python expertise to develop and optimize cryptanalytic algorithms within a Kubernetes environment while utilizing data science skills for advanced analysis and modeling.

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

Relevant experience must be in a computer science area (i.e., theoretical or applied), designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems, engineering (electrical or computer), and/or high-performance computing.

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)

Position requires active Security Clearance with appropriate Polygraph

Headquartered in Columbia, MD, RealmOne provides advanced technology services and solutions focused on cybersecurity, intelligence collection and analysis, data science and advanced analytics, and hyper-automation to support our country's most critical national security initiatives.

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.