Data Scientist at Peraton
MacDill AFB, FL
$104,000–$166,000from the description
Jul 21, 2026
MacDill AFB, FL
Jul 23, 2026
What this job asks for AI summary
A senior data science role supporting military information and psychological operations, focused on building and leading advanced analytical frameworks that draw on statistical modeling, machine learning, NLP, and causal inference. Day-to-day work spans multi-source data integration, predictive modeling, database architecture, and producing assessments that feed into combatant command decision-making. Suits an experienced quantitative professional with an active TS/SCI clearance and familiarity with defense operational assessment concepts.
Senior level · 8+ years · TS/SCI clearance
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). 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)
This position is explicitly contingent on contract award — candidates should be aware the role may not activate if the contract is not won.
No work location is specified in the posting; the role supports global military operations (OIE/PSYOP) and likely requires on-site presence at a government facility, so remote=false is assumed.
The degree requirement is tiered (BS+8 yrs / MS+6 yrs / PhD+3 yrs); the overall years minimum is set to 8 (the minimum years stated), reflecting the least-restrictive path. The degree itself is not a hard gate since multiple degree levels are accepted.
Structural Equation Modeling, time series analysis, sentiment analysis, topic modeling, OSINT, social media analytics, and cloud platforms appear in the core responsibilities narrative rather than the explicit qualifications/requirements block, so they are marked preferred.
The qualifications block lists 'cloud based analytical platforms' without naming a specific vendor (AWS, Azure, GCP); captured generically as 'Cloud platforms'.
Ignored 7 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Regression analysis, Bayesian modeling, API development, Structural Equation Modeling, Time series analysis, Sentiment analysis, Topic 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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