Data Scientist at Leidos
McLean, VA
$107,900–$195,050from the description
Aug 1, 2026
McLean, VA
Sep 24, 2026
What this job asks for AI summary
A data science role at Leidos supporting national security missions within the Intel Sector's Analysis Solutions Business Area, based in McLean, VA. The position involves building statistical and machine learning models, performing NLP on unstructured data, writing complex SQL queries across multiple databases, and developing automated data pipelines. Candidates must hold an active TS/SCI with Polygraph clearance and bring substantial hands-on experience in Python, ML, and data visualization.
Senior level · 6+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · 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 $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 Aug 2, 2026. It is a model, not a headcount.
Why we read it this way (8)
The posting requires a TS/SCI with Polygraph as a hard gate — candidates without an active clearance at this level cannot be considered.
Degree requirement is effectively None: the JD accepts a BS + 8–12 years, a Master's + 6–10 years, or a Doctorate, making no single degree level a hard gate. The overall years minimum is set to 6 (the lowest stated minimum, corresponding to the Master's path).
Social network analysis (SNA) is listed under Basic Qualifications without the explicit 'is required' tag used for other skills, but its placement in the required section treats it as a hard gate.
NLP libraries (spaCy, Hugging Face, NLTK, TensorFlow) are framed as 'familiarity with … e.g.' — indicating preferred/illustrative examples rather than hard gates, so they are captured as preferred with alternatives.
Data visualization tools (Tableau, Plotly, Seaborn, Matplotlib) are stated as 'proficiency … is required'; Tableau is used as the primary name with the others as alternatives since the posting treats them interchangeably.
AWS and Git appear only in a 'Learn and leverage' framing in the responsibilities narrative, not in the qualifications block, so they are marked preferred.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): social network 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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