Cryptologic Computer Scientist II - Python Automation

Momentum Engineering, Inc.

Fort Meade (MD)

On-site

USD 110,000 - 145,000

Full time

14 days+

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Job summary

Momentum Engineering, Inc. is seeking a Cryptologic Computer Scientist to support discovery, access enablement, technical analysis, and automation activities for CNO missions.

The ideal candidate will have CNO experience, be comfortable with XKS and DX, and possess strong Python scripting and Jupyter Notebook skills. The role entails performing access discovery, conducting technical analysis, and developing automation to enhance analyst workflows, with opportunities to build repeatable processes

Qualifications

  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph.
  • Bachelor’s Degree with 3 years of relevant experience, Associate's degree with 5 years of experience may be considered for related experience.
  • Experience with access discovery and enablement.
  • Python scripting and automation experience.
  • Ability to perform technical analysis in specialized mission environments.
  • Comfortable working with XKS and DX.

Responsibilities

  • Perform access discovery and enablement activities supporting CNO missions.
  • Conduct technical analysis using XKS and DX.
  • Develop Python scripts and automation capabilities to support analyst workflows.
  • Build and maintain Jupyter notebooks for analysis, prototyping, and mission support.
  • Analyze technical data to identify access opportunities and mission-relevant findings.
  • Develop repeatable analytical and automation workflows.
  • Support technical discovery and follow-on mission activities.

Skills

Python scripting
Jupyter Notebook
Access discovery
XKS experience
DX experience

Education

Bachelor's degree
Associate's degree

Tools

C++

Job description

Momentum Engineering, Inc. is seeking a Cryptologic Computer Scientist to support discovery, access enablement, technical analysis, and automation activities for CNO missions.

The ideal candidate will have CNO experience, be comfortable with XKS and DX, and possess strong Python scripting and Jupyter Notebook skills. The role entails performing access discovery, conducting technical analysis, and developing automation to enhance analyst workflows, with opportunities to build repeatable processes

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