Core4ce Careers

Salary
$125,000–$158,000from the description
Posted
Jul 14, 2026
Location
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

A senior data science role focused on building and integrating predictive, prescriptive, and forecasting models into a military logistics decision support tool. Day-to-day work involves developing machine learning and deep learning models against large operational datasets, creating analytics visualizations on maps and dashboards, and designing data ingestion pipelines that connect with enterprise systems. Suited to experienced ML practitioners with a background in defense or operational environments and an active TS-SCI clearance.

Senior level · 8+ years · National · TS/SCI clearance · Full-time

Must have (5)
machine learningdeep learningAdvana, Maven or DatabricksPythondata ingestion/ETL
Nice to have (2)
geospatial visualizationdashboards

“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

What won't set you apart
Python88%machine learning80%deep learning40%

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)

Location is not specified in the posting; no CBSA or state could be determined. Given the defense/military context (TS/SCI required, Command Staff, logistical operations), the role is likely on-site at a US government or military facility, but this cannot be confirmed from the text.

An active TS/SCI clearance is a hard gate explicitly stated in the Requirements section.

The degree requirement is Master's in a quantitative field, but the JD explicitly states 'equivalent professional or military experience' may substitute — so no minimum degree is enforced as a hard gate.

Advana, Maven, and Databricks are listed together as a single interchangeable requirement ('Experience with Advana, Maven, or Databricks'); Advana is named first with Maven and Databricks as alternatives.

Programming language is not explicitly named (e.g., Python, R) — the JD references 'strong programming skills' generically; Python is the dominant language in this domain and is implied but not explicitly stated. This skill has been flagged as a judgement call.

Geospatial visualization and dashboards appear in the Responsibilities section (not Requirements) and are treated as preferred/contextual rather than hard gates.

The alternative occupation code 15-1243 (Database Architects) reflects the data ingestion and transformation infrastructure design responsibilities, though the primary day-to-day work is clearly AI/ML modeling.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling, large-scale data repositories.

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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