Data Scientist

KBR, Inc.; North Dakota; On-site; USD 177,000 - 217,000; Full time

Benefits offered by this job

401K plan with company match

Medical, dental, vision

Flexible work schedule

Job summary

KBR, Inc. is seeking a Data Scientist to join its National Security Solutions team. On-site duties include developing NLP solutions, training ML/DL models, and applying statistical analysis to intelligence metrics.

The role emphasizes GPU-accelerated computing and large-scale data handling. Requirements include TS/SCI with polygraph, 10+ years experience, and expertise with Python NLP packages, DL frameworks, and Hugging Face Transformers.

Qualifications

• Active TS/SCI with Polygraph required.
• 10+ years of experience in relevant fields.
• Experience with Python NLP libraries (SpaCy, Gensim, NLTK).
• Experience with DL/ML models (PyTorch, TensorFlow, Keras).
• Experience using Hugging Face Transformers for NLP.
• Experience building text classification and topic modeling models.
• Experience querying and analyzing large datasets with SQL.
• Experience leveraging GPUs for accelerated computing.

Responsibilities

• Develop and deploy NLP solutions using SpaCy, Gensim, and NLTK.
• Design, train, evaluate, and optimize ML/DL models with PyTorch, TensorFlow, and Keras.
• Leverage Hugging Face Transformers for language models and text analytics.
• Create models for text classification, topic modeling, and information extraction.
• Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
• Utilize SQL to query and analyze large multi-source datasets.
• Leverage GPU-accelerated computing for faster training and inference.

Skills

NLP with Python

Python NLP libraries

Deep learning frameworks

SQL analytics

GPU computing

TS/SCI with Polygraph

Education

Bachelor's degree

Tools

SpaCy

Gensim

NLTK

PyTorch

TensorFlow

Keras

Transformers

SQL

Job description

Data Scientist

Belong. Connect. Grow. with KBR!

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.

Key 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.

Work Environment:

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

Qualifications:

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.

Basic Compensation:

$177,200 to $216,500

This range is for the VA area only

Additional Compensation:

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance.

KBR Benefits

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.