Cryptologic Computer Scientist Skill Level 3 - VV-1461

Job Description

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

The Cryptologic Computer Scientist Level 2 (CoCS2) serves as an Access Discovery and Enablement Analyst within the program under the NESCAA TFO initiative (Office X33). In this role, you will perform deep-dive data analysis, mobile application characterization, and operational access discovery across complex target environments. By combining advanced scripting in Python, interactive data exploration via Jupyter Notebooks, and specialized customer platforms such as XKS and DX, you will transform high-volume data streams into actionable operational vectors, metrics, and visual analytics.

The annual base salary range for this role is $154,000-$182,000 (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

• • Access Discovery & Enablement: Conduct operational targeting, access discovery, and vector identification to support mission enablement objectives.
  • Mobile Application Characterization: Analyze mobile application behaviors, protocols, telemetry, and data structures to identify signatures and operational characteristics.
  • Data Summarization & Visualization: Build custom dashboards and leverage Data Visualization tools to aggregate complex datasets, track key metrics, and summarize operational findings for stakeholders.
  • Automation & Scripting: Develop custom scripts and pipelines using Python and Jupyter Notebooks to automate routine analytic workflows, perform data parsing, and accelerate discovery cycles.
  • Customer Tool Integration: Leverage XKS (XKEYSCORE) and DX frameworks to perform targeted data queries, filtering, and cross-source analysis.

Education: Bachelor's Degree in Cyber Security, Computer Science, Computer Engineering, or a related technical discipline, PLUS 7+ years of professional experience in cyber operations, network analysis, or data engineering OR Master's Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED, PLUS 11+ years of specialized technical experience in lieu of a degree.

Desired Skills

Working knowledge or experience with C++ for low-level data parsing or application analysis.

Experience processing large-scale distributed datasets or big data analytics pipelines.

Familiarity with mobile operating system internals (Android, iOS) and associated network traffic.