Senior Data Scientist (Clearance Required) at Logistics Management Institute
Tysons, VA
$113,560–$192,050from the description
Jun 29, 2026
Tysons, VA
Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role focused on taking machine learning models end-to-end — from data preparation and feature engineering through training, deployment, and post-production monitoring — in support of U.S. Army analysis and decision-making. The work spans building data pipelines, applying MLOps practices, and integrating models into operational systems alongside engineering teams. It suits an experienced data scientist comfortable bridging technical work and communication with non-technical government stakeholders, with an active Secret clearance.
Senior level · 7+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Bachelor's required · Secret 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 $135,107 (middle half $108,024–$176,763). 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 (7)
The JD requires an active Secret clearance (or eligibility to obtain one) as a hard gate; TS/SCI is listed under Preferred as an upgrade path.
Python and R are presented as interchangeable ('Python and/or R') in the Required section; SQL is a separate, standalone requirement.
A Bachelor's degree in a quantitative field is explicitly required; an advanced degree is listed as preferred — the degree requirement is set to Bachelors accordingly.
ML libraries (scikit-learn, PyTorch, TensorFlow), MLOps practices, cloud environments, and containerized workflows all appear under the Preferred section, including the explicit qualifier 'or willingness to develop these skills' for cloud/containers.
The alternative occupation runner-up (15-1243 Database Architects) reflects the significant data pipeline and ETL scope described, though the primary day-to-day work is clearly ML modeling and data science.
The role is hybrid (Washington, DC client site + occasional travel to Tysons, VA HQ) — not fully remote.
Requires a 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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