DC

Salary
$170,000–$210,000from the description
Posted
Jul 12, 2026
Location
DC
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior-level data science role supporting national security and mission assurance programs, primarily through Palantir Foundry. Day-to-day work centers on building analytical workflows, dashboards, predictive models, and automated pipelines across large government datasets, as well as translating findings into executive-level reporting. The position suits a seasoned practitioner with deep enterprise analytics experience who can also mentor junior staff and engage directly with government stakeholders.

Senior level · 10+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · TS/SCI clearance · Full-time

Must have (7)
Palantir Foundrymachine learningpredictive analyticsstatistical analysisdata visualizationdata modelingAI

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

What won't set you apart
machine learning80%statistical analysis60%data visualization55%data modeling40%

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 28, 2026. It is a model, not a headcount.

Why we read it this way (7)

The Master's degree is explicitly listed as 'preferred,' not required — equivalent experience is implicitly accepted, so the degree requirement is set to None.

A current Palantir Foundry Application Developer Certification is stated as hard-required in the qualifications section, making Palantir Foundry a firm gate.

The role carries significant data architecture and governance responsibilities, which could suggest a secondary fit under Database Architects (15-1243), but the dominant day-to-day work — ML, predictive analytics, statistical modeling, and decision support — firmly places it in Data Scientists (15-2051).

An active TS/SCI clearance is an explicit hard gate; candidates without one cannot be considered.

The 10-year minimum experience requirement is stated at the role level with no specific technology attached, so it is captured as the overall experience floor rather than tied to any individual skill.

Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): dashboard development, data governance, workflow automation.

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.

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