Data Scientist Security Clearance

Position: 4356 Data Scientist with Security Clearance
OVERVIEW:
As the Data Scientist, you will report to the onsite Project Team leader and work closely with a small exercise support team. You will own problems end-to-end, to include designing evaluation frameworks, improving prompts and retrieval pipelines, analyzing interview data, and shipping measurable improvements into production. GENERAL DUTIES: LLM Quality & Evaluation
* Improve prompting strategies and structured outputs across reporting formats
* including law enforcement, intelligence, after-action, interview summaries, and
* survey analysis
* Design evaluation sets, scoring rubrics, and automated evaluation pipelines * (including LLM-as-judge approaches) for relevance, coherence, completeness,
* and error modes
* Reduce hallucinations and improve traceability and attribution RAG & Knowledge Pipelines
* Build and iterate on RAG pipelines, curated knowledge packs, and question-tree
* triggers
* Create and maintain base datasets (follow-up triggers, Essential Elements of
* Information/Critical Information Requirements, glossaries, watchlist cues) with
* versioning and documentation
* Tune retrieval and reranking to perform reliably under edge constraints (limited
* compute, memory, and connectivity) Interview Analytics
* Analyze transcripts to surface evasiveness, inconsistencies, and actionable leads
* Develop labeling strategies, analytic rubrics, and ground-truth datasets
* Conduct quantitative and qualitative analysis of interview data to identify patterns
* and support operational decisions Measurement & Documentation
* Build lightweight dashboards and metrics for model performance and field
* reliability
* Document methods and maintain audit trails so outputs remain defensible for
* government end users
* Partner with engineering to validate and ship improvements into production

REQUIRED QUALIFICATIONS:

* 2-5 years of applied data science or NLP experience
* Strong Python skills (pandas, Num Py, scikit-learn) with comfort standing up
* experiments and pipelines
* Hands-on experience with LLMs: prompt engineering, output evaluation, safety,
* and quality controls
* Experience with unstructured text data - cleaning, labeling, building evaluation
* metrics
* Proficiency in data analysis, reporting, and visualization for technical and non
- * technical audiences
* Ability to work on-site in the El Paso / Las Cruces / WSMR area DESIRED

QUALIFICATIONS:

* RAG implementation experience (vector databases, embeddings, reranking)
* Experience with structured evaluation frameworks (RAGAS, custom LLM-as
- * judge, or equivalent)
* Familiarity with edge or offline deployment constraints
* Exposure to interview analytics, structured debriefing, structured reporting, or
* HUMINT-adjacent workflows
* Experience delivering in classified or regulated environments CLEARANCE:
* Active Secret clearance