Data Scientist, Level 2 at Independent Software
Annapolis Junction, MD
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Aug 16, 2026
Annapolis Junction, MD
Sep 24, 2026
What this job asks for AI summary
A mid-level Data Scientist role at a national security-focused software firm, applying AI, machine learning, and NLP techniques to large language datasets in support of intelligence or defense missions. Day-to-day work spans model training, data mining, qualitative characterization of mission data, and building analytical tools. Candidates must already hold an active TS/SCI with polygraph.
Mid level · 3+ years · TS/SCI clearance · Full-time
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Posted 4 times — it's one opening, so apply once.
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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 18, 2026. It is a model, not a headcount.
Why we read it this way (5)
The posting does not name specific programming languages, frameworks, or platforms (e.g. Python, TensorFlow, PyTorch, scikit-learn) anywhere — only capability areas are listed. No concrete tool-level skills beyond those extracted could be identified.
The education requirement accepts a Bachelor's + 3 years OR an Associate's + 5 years, with a broad range of qualifying disciplines and a Data Science certificate pathway. Because equivalent experience is explicitly accepted in lieu of a higher degree, the degree requirement is set to None.
Total experience minimum is set to 3 years, reflecting the lowest qualifying path (Bachelor's + 3 years). The Associate's path requires 5 years.
'Level 2' in the title signals a mid-level position, consistent with the 3–5 year experience requirement.
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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