Senior All-Source Intelligence & Modeling Engineer

PVH (Tommy Hilfiger/Calvin Klein)

Arlington (VA)

On-site

USD 138,000 - 190,000

Full time

14 days+

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Job summary

STR is seeking a Senior All-Source Analyst and Modeling Engineer to apply intelligence tradecraft with software development and reverse engineering to create cybersecurity solutions. Role requires on-site work and frequent travel to MD client locations.

Candidate will develop tools to process large datasets, model systems from various technical sources, and present findings to leadership with a focus on national security impacts.

Qualifications

  • Active Top Secret security clearance with CI polygraph (or willingness to obtain) and U.S. citizenship.
  • BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or related field (or equivalent work experience).
  • Strong programming skills in Python, C/C++, or similar languages.
  • Experience with data analysis and automation: pandas, SQL queries, scripting for data extraction.

Responsibilities

  • Develop tools and automated workflows to sift through large datasets for modeling and intelligence efforts.
  • Create system models from circuit diagrams, schematics, source code, and signal processing data.
  • Animate methods with intelligence databases and analytic tools to support threat modeling.
  • Create custom query logic to extract and analyze data across databases and repositories.
  • Present research findings to technical and non-technical audiences and brief leadership.

Skills

Python
C/C++
Data analysis
Scripting
Pandas/SQL

Education

BS/MS/PhD in CS/CE/EE or related

Tools

Ghidra
IDA Pro
MATLAB

Job description

STR is seeking a Senior All-Source Analyst and Modeling Engineer to apply intelligence tradecraft with software development and reverse engineering to create cybersecurity solutions. Role requires on-site work and frequent travel to MD client locations.

Candidate will develop tools to process large datasets, model systems from various technical sources, and present findings to leadership with a focus on national security impacts.

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