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# Mid-Level NLP Data Scientist [$255k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Herndon, VA, United States
- **Experience:** Experienced
- **Salary:** $255,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Files, Extract Transform Load (ETL), Data Visualization, Database Development, Python (Programming Language), Machine Learning, Natural Language Processing, Oracle Databases, Performance Tuning, Raw Data, Tensorflow, Software Engineering, SQL Databases, Data Streaming, Unstructured Data, Pytorch, Large Language Models, Deep Learning, Git, Jenkins
- **Published:** July 2, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9008232/mid-level-nlp-data-scientist-255kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 8+ years
 * Total Compensation: $255k+ yearly (tentative)

## Description

* Implement data flows and create machine learning models using Python and SQL.
 * Perform data analysis, data visualization, and fine-tune large language models.
 * Utilize deep learning frameworks such as PyTorch and Tensorflow.
 * Work with Oracle databases, Git for version control, and Jenkins for deployment., * Conduct sophisticated analysis using deployed tools and natural language processing (NLP).
 * Analyze large amounts of raw data, including text data, to provide business insights.
 * Preprocess and clean structured and unstructured data, including text data.
 * Design and implement advanced ETL code and table configurations for complex data sets.
 * Utilize Structured Query Language (SQL) in Oracle databases for data development and analytics.
 * Author analytic publications and produce ad-hoc reports, including data visualizations.
 * Stay current with enterprise metadata collection tools and implement existing coordination processes.
 * Provide technical education and subject matter expertise in NLP, Machine Learning, and Data Science.
 * Apply skills in Python, PyTorch, Tensorflow, LLM fine-tuning, Git, and Jenkins for software development and model deployment.
 * Perform requirements analysis and model training.


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