Senior Software Engineer, IS-02/03-0046 at Cyber B.A.T. Inc
Laurel, MD
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Aug 5, 2026
Laurel, MD
Sep 24, 2026
What this job asks for AI summary
A Senior Software Engineer role at a Service-Disabled Veteran-Owned small business supporting government compliance analytics and business processing systems. The work centers on building and integrating machine learning and AI tools to automate compliance functions, developing analytical models, and monitoring data workflows — all within a classified government program environment requiring an active TS/SCI clearance with Maryland polygraph.
Senior level · 14+ years · Baltimore-Columbia-Towson, MD · TS/SCI clearance · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $141,954 (middle half $107,994–$205,328).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 7, 2026. It is a model, not a headcount.
Why we read it this way (9)
The role requires an active TS/SCI clearance with a current Maryland Polygraph — this is a hard gate and will significantly constrain the candidate pool.
A Bachelor's degree in Computer Science or related field is listed as required, but the posting explicitly allows substitution of 4 additional years of experience in lieu of the degree — classified as None accordingly.
The 14-year minimum experience requirement is stated as experience 'on programs of similar scope, type, and complexity,' implying a classified government program background is expected.
'GM Learn' and 'Ghostmachine (Map/Reduce)' appear to be agency-specific or program-specific internal tools; candidates without prior work on this program may not have direct experience with these.
The role blends software engineering and data science/ML work fairly evenly; 15-2051 (Data Scientists) is a plausible alternative classification given the heavy ML modeling, EDA, and feature development emphasis.
Exploratory Data Analysis (EDA) is listed as a required skill tied to 'GM Learn' — it is a methodology rather than a named tool, so it was not emitted as a standalone skill.
Agentic AI is listed under Bonus Points alongside LLMs; both are captured as preferred. Machine Learning model building and monitoring appear in the required section and are covered by the named tools (Scikit-learn, Random Forest) already extracted.
Compensation is explicitly determined post-interview on an individual basis; no figures are provided.
Requires a TS/SCI clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.
Read the full posting
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