Data Scientist - Mid at CACI International
Denver, CO
$69,100–$141,500from the description
Jul 13, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
A mid-level data science role supporting geospatial intelligence work for the National Geospatial-Intelligence Agency. Day-to-day work involves building analytic models, processing and transforming large datasets, and creating visualizations and dashboards, with Python and SQL as the primary tools. The role suits someone with a statistical or computational background who can operate within an Agile delivery team and holds — or can obtain — a TS/SCI clearance with polygraph.
Mid level · 4+ 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 (9)
The role is posted as 'Mid' in the job title, and the 4+ years requirement and scope (working alongside senior data scientists, delivering within sprints) are consistent with a mid-level band.
A Bachelor's degree is listed as required but equivalent experience is explicitly accepted, so the degree requirement is set to None.
The TS/SCI with Polygraph clearance is a hard gate — candidates must hold or be willing to undergo polygraph examination.
Python and R are listed as interchangeable ('Python (or R)'); Python is named first and is the more common choice in this context.
Data visualization is required; matplotlib and Tableau are listed as named examples with 'or similar', so they are captured as alternatives under one skill.
Geospatial tools (ArcGIS, QGIS, GeoPandas), machine learning frameworks/model deployment, and SAFe/Agile experience all appear under the 'Desired' section and are marked preferred.
The role supports NGA and involves geospatial datasets, making 15-2031 (Operations Research Analysts) a plausible runner-up, but the explicit 'Data Scientist' title and ML/modeling emphasis favor 15-2051.
No specific work location is stated beyond 'Continental US' travel; the salary range is described as a national average, so no CBSA is assigned.
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.