Senior Data Scientist at CACI International
Denver, CO
$82,100–$172,400from the description
Jul 13, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
A senior-level data science role supporting the National Geospatial-Intelligence Agency, focused on building and deploying machine learning models and data pipelines against large, complex datasets. Day-to-day work spans model development, data processing automation, and creating analytic visualizations, with close collaboration alongside mission analysts to move capabilities from design into production. The role also carries a mentorship responsibility within an Agile multi-team environment, and requires an active TS/SCI clearance with polygraph.
Senior level · 8+ years · National · TS/SCI clearance · Full-time
“or” means any one of them counts — you don't need all of them.
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 (6)
The posting lists a TS/SCI clearance as required, with willingness to undergo a polygraph as a stated condition — classified as TS/SCI with polygraph.
A Bachelor's degree is listed as required but explicitly accepts 'equivalent experience,' so no minimum degree is hard-gated.
Python is listed as the primary required language with R as an explicitly named alternative ('Python or R').
Geospatial data experience, cloud ML services, and containerized deployment appear under the 'Desired' section and are treated as preferred.
The role involves up to 10% continental US travel; it is not remote.
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
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.