CAT019 Data Scientist/ML Engineer at Warriors Solutions
Tysons, VA
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Jul 1, 2026
Tysons, VA
Jul 21, 2026
What this job asks for AI summary
A federal contracting role focused on researching, building, and deploying machine learning algorithms for government clients. Day-to-day work involves collaborating with data scientists and software engineers to develop new analytics capabilities, helping federal customers build their own applications, and contributing to feature design. Suited to candidates with solid Python skills, applied ML experience, and an active Secret clearance.
Mid level · 3+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Bachelor's required · Secret clearance
“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
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 (7)
The '3-5 years relevant work experience' is listed under the Requirements section but is explicitly qualified as 'preferred' — the overall years minimum is set to 3 (the lower bound) as the softest stated floor, though this is not a hard gate.
An active Secret clearance or above is a hard gate; the role is government contracting work for federal customers in Tysons, VA.
The alt SOC (15-1252 Software Developers) reflects the ML engineering / deployment dimension of the role; the primary classification as Data Scientist (15-2051) is supported by the emphasis on ML algorithms, statistics, and analytics.
MapReduce/streaming is listed under Requirements as the scalable ML experience requirement; streaming is an open-ended qualifier with no specific tool named, so only MapReduce is captured as the canonical skill.
MS or PhD is listed as preferred, not required; the hard degree gate is a Bachelor's in CS, EE, Statistics, or equivalent.
Cloud platform experience (AWS/Azure/GCP) and LLM tooling appear under 'Desired Skills' and are preferred accordingly.
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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