Linthicum, MD

Salary
$180,000–$250,000from the description
Posted
Jul 6, 2026
Location
Linthicum, MD
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior data science role focused on automating government security authorization processes. Day-to-day work involves building and maintaining ETL pipelines that pull data from network sensors, security tools, and compliance databases, as well as developing predictive models and dashboards to support continuous monitoring across the Risk Management Framework lifecycle. Python is the primary language, and a TS/SCI clearance with full-scope polygraph is required.

Senior level · National · Bachelor's required · TS/SCI clearance · Full-time

Must have (4)
Pythonstatistical analysisETL pipelinesdashboards
Nice to have (7)
ElasticsearchRegExmachine learningNLPMATLAB or RSQL or MongoDBGrafana, Graphite or Influxdb

“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%statistical analysis60%

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)

The posting titles this role 'Senior-Level Data Scientist' but states no overall years-of-experience requirement beyond the degree and clearance gates.

The role has a meaningful data engineering component (ETL pipeline design, data quality validation, pipeline monitoring), which creates genuine ambiguity between Data Scientists (15-2051) and Database Architects (15-1243); the predictive modeling and statistical analysis framing tips the primary classification to Data Scientists.

A TS/SCI with Full-Scope (FS) Polygraph is an explicit hard gate — candidates without an active clearance at this level cannot be considered.

No work location or CBSA is specified in the posting; the clearance requirement strongly implies an on-site position in the Washington DC / Northern Virginia / Maryland corridor, but this cannot be confirmed from the text alone.

Python appears in both the required duties section (as the primary language) and again in the Preferred Qualifications list; it is treated as required based on its prominent, firm placement in the essential duties.

Statistical analysis and predictive modeling are required by the qualifications section but name no specific tool or framework beyond Python/MATLAB/R, which are listed under Preferred; those tool-level entries are kept as preferred.

MATLAB and R are listed together as interchangeable preferred options; SQL and MongoDB are similarly paired. Grafana, Graphite, and InfluxDB are listed together as a metric-database group.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling.

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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