Pay
Higher than most similar jobs
$177K–$217K against $118K–$194K, the middle half of what similar US postings state.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Data Scientist
McLean, Virginia
Live, first seen by us 76 days ago- Pay
$177,200–216,500/yearAnnual period assumed — pay source
Basic Compensation: $177,200 to $216,500 This range is for the VA area only
Read the full posting- Work setting
On-site — work setting source
Work Environment: Location: On-site Travel Requirements: Minimal
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Citizens only
Active TS/SCI with a Polygraph
What you’ll work on
Full postingBuild and deploy NLP solutions with SpaCy, Gensim, and NLTK
Design, train, and optimize deep learning models in PyTorch, TensorFlow, and Keras
Create models for text classification, topic modeling, and information extraction
Run advanced statistical analysis on personnel, intelligence, and performance metrics
Query and analyze large datasets with SQL
From the employer’s posting
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
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
Utilize SQL to query, transform, and analyze large datasets from multiple data sources.
What you’ll bring
All qualificationsCore experience
- Experience or academic exposure performing NLP tasks using Python-based NLP packages such as SpaCy, Gensim, or NLTK.
- Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field.
- Experience or academic exposure with deep learning models using PyTorch, TensorFlow, or Keras.
- Experience tuning large language models (LLMs) on custom data sets.
- Experience utilizing the Hugging Face Transformers library and model hub for NLP and machine learning applications.
- Experience with cloud computing development and architectures.
Qualification wording
Experience or academic exposure performing NLP tasks using Python-based NLP packages such as SpaCy, Gensim, or NLTK.
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field.
Experience or academic exposure with deep learning models using PyTorch, TensorFlow, or Keras.
Experience tuning large language models (LLMs) on custom data sets.
Experience utilizing the Hugging Face Transformers library and model hub for NLP and machine learning applications.
Experience with cloud computing development and architectures.
Education & alternatives
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 25, 202676 days ago
- Recorded sightings
- 161
- Last seen by us
- Nov 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 76
Up longer than most. Similar jobs usually come down between day 7 and day 57.
Well past KBR’s usual: its jobs come down by about day 15.
From 10,789 similar postings that came down, and 73 of KBR’s. Coming down is not always a hire.
KBR is hiring
21 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Hugging Face
- Keras
- PyTorch
- TensorFlow
- Transformers
Where the posting names them
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Your next step
Complete your application on kbr.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has KBR posted this job before?
Yes. We’ve followed 3 other Data Scientist jobs there since August 2026. All 3 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About KBR
- People
- About 36,000 in 2026, down 5% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as KBR.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Title:
Data ScientistBelong. 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.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Basic Compensation: $177,200 to $216,500 This range is for the VA area only
- Location & working pattern
McLean, Virginia
Work Environment: - Location: On-site - Travel Requirements: Minimal
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.