STINGRAI Data Scientist (Data Scientist 2) - 29227
Huntington Ingalls Industries · Washington, DC
$94,750–$175,000from the description
Jul 2, 2026
Washington, DC
Jul 21, 2026
What this job asks for AI summary
A data science role supporting intelligence and mission-partner operations, primarily focused on sourcing, validating, and integrating diverse datasets for analytical use. Day-to-day work involves data quality assessment, schema development, long-term trend and vulnerability analysis, and advising on AI/ML implementation. The role suits candidates with a background in data engineering or applied analytics who hold an active Top Secret clearance.
Mid level · 2+ years · National · Top Secret clearance · Full-time
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 (8)
This requisition explicitly supports hiring at multiple experience levels (Level 2 through Level 5), ranging from 2 years with a Bachelor's up to 15+ years. The posting's own 'Level of Experience: Mid' label and the minimum qualification threshold (Level 2: 2 years with a Bachelor's) drove the Mid seniority assignment, though the salary range ($94,750–$175,000) and multi-level structure suggest the actual hire could land anywhere from Mid to Senior.
No specific city or CBSA is stated in the posting; the role is tied to U.S. Southern Command (SOUTHCOM), which is headquartered in Doral, FL (Miami metro), but this is not confirmed as the work location.
Degree requirement is set to None because the JD explicitly accepts a High School Diploma plus equivalent experience as an alternative to a Bachelor's or higher degree at every level.
Supply chain vulnerability/threat identification is explicitly flagged as 'preferred but can be trained' in the qualifications section.
The role blends data science (ML/statistics, model evaluation) with data engineering (schema design, data integration, pipeline work), which creates some ambiguity between 15-2051 (Data Scientists) and 15-1243 (Database Architects). The primary framing and title are Data Scientist, and the ML/AI and analytical responsibilities are foregrounded, so 15-2051 is the primary code.
Skills listed here are functional capabilities named in the requirements section. The JD names no specific named tools, languages, or platforms (e.g., Python, R, Spark, SQL) — only capability areas — so no tool-level skills could be extracted.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): trend analysis, supply chain risk analysis.
Requires a Top Secret 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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