Data Scientist SME at Tyto Athene, LLC
Washington, DC
$130,000–$150,000from the description
Jul 20, 2026
Washington, DC
Jul 22, 2026
What this job asks for AI summary
A senior data science role on a federal cybersecurity and IT risk management contract, focused on turning large security datasets into actionable intelligence. Day-to-day work spans building dashboards and visualizations (primarily in Power BI), applying machine learning and statistical modeling to support threat detection, automating data pipelines from SIEM and case management tools, and briefing senior leadership. Suited to an experienced data scientist with a background in security operations analytics and an active Top Secret clearance.
Senior level · 5+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Top Secret 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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The title 'Data Scientist SME' carries no explicit seniority level word, so the title states no level; however, the 5+ years minimum, SME framing, and leadership responsibilities support a Senior classification.
The degree requirement lists 'Bachelor's degree … or equivalent combination of education and experience,' so no hard degree gate is set.
The clearance requirement states 'Active Top Secret clearance required' — this is a hard gate. The posting does not mention SCI or a polygraph, so it is classified as TopSecret rather than TopSecretSci.
The role blends data science (ML, statistical modeling, Python) with BI/analytics (Power BI dashboards, SOC metrics) and cybersecurity context. 15-2051 Data Scientists is the best fit given the ML/modeling emphasis; 15-2031 Operations Research Analysts is the runner-up given the heavy analytics and dashboard delivery work.
Linux, SQL/NoSQL, APIs, Splunk, Spark, Hadoop, machine learning techniques, and NLP all appear under the 'Desired' section and are marked preferred accordingly.
Machine learning and NLP are listed as preferred because they appear only in the 'Desired' section under 'Familiarity with a range of data analysis techniques'; the required section references ML/statistical modeling only in narrative context without gating language.
The role is hybrid (~2 days on-site per week in Washington, DC), so remote is set to false.
Requires a Top Secret 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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