Cryptanalytic Computer Scientist

Marquee Defense; Fort Meade (MD); On-site; USD 120,000 - 160,000; Full time

Job summary

Marquee Defense seeks a highly skilled analyst to perform SIGINT data analysis using Python and Jupyter, with big data and geospatial tasks, including PySpark work. You will design cryptanalytic and security-focused solutions and contribute to Python packages and ML libraries.

Requirements include degrees in CS/Engineering/Math and progressive experience; on-site work at Fort Meade area, supporting cryptologic and computer security objectives.

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
• Experience with SIGINT data analysis and Python development
• Knowledge of PROFORMA, ELINT, and FISINT is somtimes required
• Big data and geospatial capabilities using PySpark and geospatial analysis
• Design, develop, and deploy cryptanalytic solutions using mathematical methods
• Security-focused algorithm design for threat detection and countermeasures

Responsibilities

• Analyze in-depth SIGINT data using Python and Jupyter Notebook
• Handle big datasets and geospatial data with PySpark
• Develop Python packages and contribute to ML libraries
• Design cryptanalytic solutions using mathematical methods
• Apply algorithms to security functions like threat detection and countermeasures
• Translate solutions into forensics, attribution, and network protection

Skills

Python development

PySpark

Geospatial data

Machine learning libraries

Data visualization

Cryptography/cryptanalysis

Threat detection

Education

Master's degree in Computer Science or related field

Bachelor's degree in Computer Science/Engineering/Mathematics

Associate degree with 7 years relevant experience

Job description

Fort Meade or National Business Park area

Job Type:

Full time in-person

Clearance:

Top Secret/SCI with Polygraph

Description

Perform in-depth analysis of technical signals intelligence data using Python and Jupyter Notebook. Experience with specific areas like PROFORMA, ELINT, and FISINT is somtimes required

Big data and geospatial skills: Proficient in handling large datasets with tools like PySpark and analyzing geospatial data

Python development: Experience in developing and contributing to Python packages, ideally including data visualization and Machine Learning libraries

Cryptologic solutions: Design, develop, and deploy solutions to complex cryptographic and cryptanalytic problems using mathematical/statistical methods, new algorithms, and computational techniques

Computer security expertise: Apply algorithm design techniques to various security functions like vulnerability identification, threat/attack detection, and countermeasure implementation

Technical solution implementation: Translate solutions into practical outcomes ranging from forensics and attack attribution to network protection, active warnings, and target system penetration

Overall, this role demands strong technical skills in analysis, big data, and Python development, coupled with the ability to solve complex cryptologic and computer security problems through innovative solutions

Work Experience

NOTE: Military Multiplier: Relevant military experience is credited as 1.25X years experience!

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

Specialty Experience

None required

Computer science area (i.e. theoretical or applied)

Designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) to study issues and solve problems, engineering (electrical or computer)

And/or high performance computing

Education

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)

Marquee Defense is an equal opportunity employer (EEO)

All applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.