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# Data Scientist

- **Company:** KBR Inc
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $177,200.0 - $216,500.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Cloud Computing, Data Files, Information Extraction, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, NLTK (NLP Analysis), Tensorflow, SQL Databases, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Spring-boot, Deep Learning, Topic Modeling, Backend, Keras, Information Technology, HuggingFace, Gensim, Text Analysis, Restful APIs, Spacy, Document Classification
- **Published:** August 25, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9115013/data-scientist

## About the Role

Required:

 * Active TS/SCI with a Polygraph
 * Minimum of 10 years experience
 * Experience or academic exposure performing NLP tasks using Python-based NLP packages such as SpaCy, Gensim, or NLTK.
 * Experience or academic exposure with deep learning models using PyTorch, TensorFlow, or Keras.
 * Experience utilizing the Hugging Face Transformers library and model hub for NLP and machine learning applications.
 * Experience creating machine learning models that perform text classification and topic modeling.
 * Experience using SQL to access, manipulate, and analyze large datasets.
 * Experience leveraging GPUs for accelerated computing and conducting advanced statistical analysis on various metrics.

Desired:

 * Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field.
 * Experience tuning large language models (LLMs) on custom data sets.
 * Experience with cloud computing development and architectures.
 * Experience with frameworks such as Spring Boot to build backend applications and REST APIs.

## Description

* Develop and deploy advanced Natural Language Processing (NLP) solutions using Python libraries such as SpaCy, Gensim, and NLTK.
 * Design, train, evaluate, and optimize machine learning and deep learning models using PyTorch, TensorFlow, and Keras.
 * Leverage the Hugging Face Transformers library and model hub to develop state-of-the-art language models and text analytics solutions.
 * Create and maintain machine learning models that perform text classification, topic modeling, information extraction, and related NLP tasks.
 * Conduct advanced statistical analysis on personnel, intelligence, and performance metrics to identify trends, relationships, and actionable insights.
 * Utilize SQL to query, transform, and analyze large datasets from multiple data sources.
 * Leverage GPU-accelerated computing environments to improve model training, inference, and large-scale analytical processing.


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