Data Scientist

KBR, Inc.•McLean, VA

15d•$177,200 - $216,500•Onsite

About The Position

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. Why Join Us? Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.