Data Scientist

KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

• →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.

• Location: On-site
• Travel Requirements: Minimal
• Working Hours: Standard

• 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.

• 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.

The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.

If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.