Senior Data Scientist
SOSi · Chantilly, VA
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Jun 29, 2026
Chantilly, VA
Jul 21, 2026
What this job asks for AI summary
A data scientist role supporting a US government customer in Chantilly, VA, focused on building AI/ML models and analytics around cyber-related data. Day-to-day work involves statistical modeling, machine learning, and handling large volumes of unstructured text data, in close collaboration with cyber subject-matter experts. Suited to candidates with an active TS/SCI clearance with polygraph and hands-on experience with cyber data sources.
Mid level · 3+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Bachelor's required · TS/SCI clearance · Full-time
“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 (8)
An active TS/SCI clearance with polygraph is a hard gate; the posting explicitly states candidates will not be nominated for new clearances.
The degree requirement is a STEM bachelor's degree in a field such as computer science, statistics, data analytics, mathematics, or similar — equivalent experience is not offered as a substitute.
The 3–5 year experience range is stated at the role level; 3 years is used as the minimum.
Python is listed with 'or similar language'; alternatives reflect common data-science language substitutes.
Shodan is listed as an example of cyber data sources alongside Censys.IO; both are captured as a single skill with Censys as the alternative, reflecting the 'such as' framing — the hard gate is on cyber data experience broadly, with these as named exemplars.
The role sits at the intersection of data science and cyber/intelligence analysis; Information Security Analysts (15-1212) is a plausible runner-up given the cyber-data focus, but the primary day-to-day work (ML modeling, statistical analysis, unstructured data processing) aligns more closely with Data Scientists (15-2051).
Experience in the US Intelligence Community is listed under Preferred Qualifications.
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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