Nalley Consulting · Washington, DC

Salary
Posted
Jul 6, 2026
Location
Washington, DC
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A mid-level Data Scientist role based at DIA Headquarters (Joint Base Anacostia Bolling), supporting intelligence community work that involves retrieving, merging, and analyzing structured and unstructured data using Python, R, and SQL. The position requires hands-on experience with databases, statistical analysis, and AI/ML methods, with an active TS/SCI clearance and CI polygraph as hard prerequisites. Familiarity with data visualization tools, ETL pipelines, and HUMINT is a plus.

Senior level · 8+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · TS/SCI clearance

Advertised as Mid, but the requirements read as Senior.

Must have (4)
Python or R · 3+ yrsSQLSQL Server or PostgreSQLAI/ML
Nice to have (5)
Tableau or Power BIETLgitJenkinsSonarQube

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

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
Python88%R88%SQL72%

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).

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 (10)

The posting's LCAT label is 'Mid', but the actual requirements — 8 years of experience with a degree (or 12 without), plus 3+ years in specific tools — support a Senior classification.

The clearance requirement is TS/SCI with an active CI polygraph conducted within the past seven years; this is classified as TopSecretSci.

Degree requirement is set to None because the JD explicitly accepts 12 years of relevant experience in lieu of a Bachelor's degree.

Python and R are listed together as the primary data science languages (3+ years each); SQL is also required for data retrieval but carries no separate year count.

AI/ML, data analytics, data mining, and statistical analysis are listed as a single grouped requirement under Basic Qualifications; AI/ML is used as the representative skill name.

Database design/administration experience (SQL Server, PostgreSQL, etc.) is listed under Basic Qualifications; SQL Server is the primary with PostgreSQL as an alternative.

Data architecture and ETL experience is listed under Desired Qualifications, specifically for DoD or federal agency context — the DoD/federal context is a nuance the ETL skill field cannot capture.

HUMINT familiarity is listed as a desired qualification but names no specific technology or tool, so it is omitted from the skills list per extraction rules.

The alternative occupation code (15-1243 Database Architects) reflects the meaningful database design and administration component of the role, though the primary classification as Data Scientist is the stronger fit.

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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