ME00652-Data Scientist 2 at Momentum Engineering, Inc.
Fort Meade, MD
$105,000–$140,000
Aug 6, 2026
Fort Meade, MD
Nov 9, 2026
What this job asks for AI summary
This role focuses on analyzing large-scale datasets and building AI/ML models for national security missions. Day-to-day work spans statistical and predictive modeling, data visualization, and deploying machine learning capabilities on distributed and cloud-based platforms. It suits an experienced data scientist who holds an active TS/SCI clearance with an NSA Full Scope Polygraph.
Mid level · 3+ years · TS/SCI clearance · Full-time
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 $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 8, 2026. It is a model, not a headcount.
Why we read it this way (8)
The posting requires an active TS/SCI clearance with an NSA Full Scope Polygraph — this is a hard gate and will significantly constrain the candidate pool.
Degree requirement is flexible: a Bachelor's with 3 years of experience is the baseline, but an Associate's with 5 years may be accepted. Because equivalent experience is explicitly offered as a substitute, the degree requirement is set to None.
Total experience minimum is set to 3 years (the lower bound of the stated range). The 5-year path applies only to Associate's-degree holders.
Work location is not stated in the posting; no CBSA or state could be determined. Given the NSA Full Scope Polygraph requirement, the role is likely in the Fort Meade/Maryland area, but this is not confirmed by the posting.
Spark and cloud data platforms appear only under Desired Qualifications and are marked as preferred accordingly.
AI/ML model deployment in operational environments is listed as a desired qualification; it is captured under the broader AI/ML required skill rather than as a separate preferred entry, since the core AI/ML skill is already a hard gate.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling, large-scale data processing.
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.
Read the full posting
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