Data Scientist - Level 2 at Applied Network Solutions Inc
Annapolis Junction, MD
$100,000–$200,000from the description
Jul 12, 2026
Annapolis Junction, MD
Jul 21, 2026
What this job asks for AI summary
A data scientist role embedded within a modeling team, focused on parsing, cleaning, analyzing, and visualizing network traffic data to project future bandwidth on an intelligence community network. The work involves building statistical and simulation models, scripting in languages such as Python or R, and translating ambiguous, poorly defined problems into practical quantitative solutions. A TS/SCI clearance with polygraph is required.
Mid level · National · Bachelor's required · TS/SCI 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 $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 (10)
No work location or metro area is specified in the posting; the CBSA is left blank. Given the IC Network / Intelligence Community context and the TS/SCI + polygraph requirement, the role is almost certainly in the Washington, DC area, but this cannot be confirmed from the text alone.
The role sits at the boundary between Data Scientist (15-2051) and Operations Research Analyst (15-2031): the core work is network traffic modeling, bandwidth projection, and simulation (OR-flavored), but the title and analytical toolkit (Python/R/MATLAB/SAS, statistical models) align with Data Scientist.
The required scripting/language section lists Python, R, MATLAB, @RISK, ARENA, and SAS as a group of alternatives; Python is used as the primary name with the others captured as alternatives.
'quantitative analysis' and 'statistical modeling' are retained as required skills because they are explicitly named capabilities in the Requirements section, even though they are not specific tool names — they describe the core technical discipline the role gates on.
Several 'Nice to Have' items (Ansible, Git, Bash, PowerShell, Elasticsearch, Linux, ETL, Monte Carlo/discrete event simulation, IAT Level II) are listed under that heading and are marked preferred accordingly.
Python also appears under the 'Nice to Have' section ('Familiarity with programming languages such as Python'), but it is already captured as a hard gate from the Requirements section; the nice-to-have mention is redundant.
The TS/SCI with Polygraph is an explicit hard gate in the Requirements section.
Bachelor's degree is listed in the Requirements section without an 'or equivalent experience' qualifier, so it is treated as a hard requirement.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): quantitative analysis.
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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