Cryptologic Computer Scientist Skill Level 2 - VV-691

Nyla Technology Solutions

• $124K — $146K *
Annapolis, MD 21401In-Person
Aerospace & Defense
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Active security clearance at the TS/SCI polygraph level is mandatory.
  • Bachelor's degree in Systems Engineering, Computer Science, Information Systems, Engineering Science, or Engineering Management, or equivalent experience.
  • 7+ years of professional systems engineering experience, or 11+ years of relevant hands-on technical experience without a degree.
  • Strong proficiency in Big Data aggregation and use of Python for operational automation.
  • Practical experience with metrics tracking and access discovery methodologies.

Responsibilities

  • Drive big data aggregation and access discovery efforts.
  • Build automated analytics and metrics tracking tools for mission operations.
  • Utilize operational analytics tools within XKS and DX environments.
  • Develop structured workflows in Jupyter Notebooks for data analysis.
  • Implement data science frameworks for continuous operational metrics.
  • Engage in technical enablement activities to support mission objectives.

Benefits

  • Comprehensive benefits package offered.
  • Opportunities for professional growth and development.
  • Work in a collaborative environment with a focus on innovation.
Full Job Description
Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

We are seeking a Cyber Data Scientist & Enablement Analyst to join team Nyla in Annapolis Junction, MD. This role is ideal for a Data Scientist who possesses strong foundational analyst skills and operational experience. You will drive big data aggregation, access discovery, and technical enablement while building automated analytics and metrics tracking tools to power mission operations.

The annual base salary range for this role is $124,000-$146,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Required Skills

  • Data Science & Frameworks: Strong proficiency in Big Data aggregation, Pandas DataFrame manipulation, and continuous operational metrics tracking.
  • Operational Analytics Tools: Hands-on experience navigating and querying within XKS and DX environments.
  • Access Discovery & Mission Experience: Practical experience with NESCAA TFO and target access discovery/enablement methodologies.
  • Python & Notebook Development: High proficiency in Python scripting for operational automation, along with expertise in building structured Jupyter Notebooks.


Education: Bachelor's Degree in Systems Engineering, Computer Science, Information Systems, Engineering Science, or Engineering Management, PLUS 7+ years of professional systems engineering experience on programs of similar scope and complexity OR High School Diploma / GED, PLUS 11+ years of hands-on technical systems engineering and architecture experience in lieu of a degree.

Desired Skills

Big Data & Analytics Engines: PySpark proficiency for distributed big data processing and analysis.

Domain Background: Prior Computer Network Operations (CNO) experience and Signals Development (SIGDEV) background.

Software Development & Mobile: Familiarity with C++ development and mobile application characterization/traffic analysis.
* Ladders Estimates

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