Mid-Level Data Scientist | TS/SCI at Xcellent Technology Solutions
Springfield, VA
$80,000–$90,000from the description
Aug 11, 2026
Springfield, VA
Sep 24, 2026
What this job asks for AI summary
This role supports NGA intelligence operations in Springfield, Virginia, applying data science and analytics to GEOINT and multi-INT data. The data scientist will develop and test analytic methodologies, identify patterns in complex datasets, and apply machine learning techniques to intelligence problems. It suits candidates with an active TS/SCI clearance and hands-on experience using Python and SQL in an intelligence or geospatial mission context.
Senior level · 5+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · TS/SCI clearance · Full-time
Advertised as Mid, but the requirements read as Senior.
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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 $135,107 (middle half $108,024–$176,763). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 13, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting is titled 'Mid Level' but requires 5+ years of relevant experience and independent stakeholder engagement — the actual scope and experience gate align more closely with a Senior band.
A Bachelor's degree in data science or related field is listed under 'Desired' (preferred), not required; equivalent experience is implicitly accepted, so no minimum degree is hard-gated.
The CI Polygraph is framed as a willingness requirement ('willingness to undergo'), not a current possession requirement, but the active TS/SCI clearance itself is a hard gate.
JEMA and its listed alternatives (ESRI ModelBuilder, Alteryx, Tableau Prep) appear together under 'Desired'; they are captured as preferred. JavaScript, HTML, and CSS also appear only under 'Desired'.
Machine learning experience appears under 'Desired' ('Experience applying ML algorithms to intelligence data'), so it is marked preferred despite being mentioned in the overview narrative as well.
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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