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# Mid-Level Data Scientist [$276k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $276,000.0
- **Contract:** Permanent contract
- **Skills:** Data Visualization, R (Programming Language), Information Retrieval, Python (Programming Language), MATLAB, Machine Learning, Metadata, SQL Databases, Large Language Models, Generative AI, Virtual Agents
- **Published:** October 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9214516/mid-level-data-scientist-276kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 10+ years
 * Total Compensation: $276k+ yearly

## Description

* Develop machine learning, statistical, and graph-based algorithms to analyze complex datasets and create predictive analytics.
 * Train, fine-tune, and optimize large language models (LLMs) and implement retrieval-augmented generation (RAG) and agentic workflows.
 * Create impactful data visualizations and develop analytic scripts leveraging Python, R, MATLAB, and SQL., * Develop and implement machine learning, statistical, and heuristic algorithms to produce descriptive, predictive, and prescriptive analytics.
 * Train and optimize Large Language Models (LLMs) for various NLP tasks and information retrieval.
 * Implement Retrieval-Augmented Generation (RAG) frameworks, intelligent agents, and agentic workflows.
 * Leverage GPU-based computing environments to accelerate model training, evaluation, and deployment.
 * Collaborate with subject matter experts to extract features from diverse data formats including SQL tables, structured metadata, and network logs.
 * Prototype algorithms and build experiments or simulation models when training datasets are unavailable.
 * Evaluate and validate analytic performance using standard metrics such as cross-validation, confusion matrices, and ROC curves.
 * Produce clear data visualizations and analytical reports to communicate complex findings to stakeholders.