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/Data Scientist jobs
KB
KBR

Data Scientist

Salary$177k – $217k
LocationMcLean, Virginia
Work modeon-site
Typefull-time
SenioritySenior
Experience10+ yrs
DepartmentNational Security Solutions
Company size10,000+ people
First seenSep 11, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have8
Active TS/SCI with Polygraph
Minimum 10 years experience
Experience with Python-based NLP packages such as SpaCy, Gensim, or NLTK
Experience with deep learning models using PyTorch, TensorFlow, or Keras
Experience utilizing Hugging Face Transformers library and model hub for NLP
Experience creating machine learning models for 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
Nice to have4
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or 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
Skills
Python
SpaCy
Gensim
NLTK
PyTorch
TensorFlow
Keras
Hugging Face Transformers
SQL
GPU
Spring Boot
REST APIs
Benefits
401(k)
Health insurance
Dental insurance
Vision insurance
Life insurance
Ad&d
Flexible spending account
Disability insurance
Paid time off
Flexible work schedule
Professional training
Title:
About the role
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
The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.
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.
Ready to Make a Difference?
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.
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 of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.
Legal
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.
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