Data Scientist at Peraton
Washington, DC
$112,000–$179,000from the description
Jul 27, 2026
Washington, DC
Jul 29, 2026
What this job asks for AI summary
A fully onsite Data Scientist role supporting classified intelligence programs for a national security contractor in Washington, DC. The position centers on building predictive models and machine learning solutions, analyzing large datasets for operational insights, and delivering visualizations through Tableau — all integrated with the ServiceNow enterprise platform. Suits an experienced data scientist who already holds an active TS/SCI clearance with polygraph.
Senior level · 5+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Bachelor's required · TS/SCI clearance · Full-time
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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 $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 Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role requires an active TS/SCI clearance with polygraph — this is a hard gate explicitly stated in the Required Qualifications section.
ServiceNow certifications (CSA, CAD, CIS, Performance Analytics) and experience supporting the intelligence community or DoD are listed under Preferred Qualifications.
JavaScript appears only under Preferred Qualifications.
The posting title carries no seniority level, but 5+ years of experience combined with mentorship responsibilities and the scope of the work supports a Senior classification.
The alt SOC (15-2031 Operations Research Analysts) is noted because the role has a strong analytics/decision-support dimension alongside the ML/modeling work, though the ML and predictive modeling emphasis makes 15-2051 the better fit.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling.
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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