Pay
Lower than most similar jobs
$107K–$181K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Data Scientist
Reads like a ML Engineer role: putting models into production.
Herndon, VA
Open 5 months, first seen by us 167 days ago- Pay
USD 106,640–180,504/yearAnnual period assumed — pay source
Virginia Pay Range $106,640—$180,504 USD About NT Concepts
Read the full posting- Work setting
- Not stated
- 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 Clearance with ability to obtain TS/SCI
What you’ll work on
Full postingCurate and transform optical, SAR and synthetic imagery data for machine learning
Design and maintain ETL pipelines that prepare customer data for model training
Generate synthetic data to augment computer vision models where real data is scarce
Train, evaluate and tune deep neural networks on overhead imagery
Communicate analytic findings to technical and non-technical stakeholders
From the employer’s posting
Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
Design and maintain data conversion and ETL pipelines to prepare customer data for model training
Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
Communicate analytic findings to both technical and non-technical stakeholders
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in data science, machine learning, or a related field
- Ability to work in a fast-paced, collaborative, Agile environment
- Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
- Experience building and maintaining ETL or data processing pipelines
- Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
- Experience with Git-based version control systems
Preferred experience
- Experience with synthetic data generation and analysis for computer vision applications
- Experience with cloud-based or distributed computing platforms
- Experience deploying models into production and supporting ongoing operations and maintenance
- Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
Qualification wording
5+ years of experience in data science, machine learning, or a related field
Ability to work in a fast-paced, collaborative, Agile environment
Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
Experience building and maintaining ETL or data processing pipelines
Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
Experience with Git-based version control systems
Experience with synthetic data generation and analysis for computer vision applications
Experience with cloud-based or distributed computing platforms
Experience deploying models into production and supporting ongoing operations and maintenance
Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
About NT Concepts
Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities.
In the employer’s words · Read in context
Posting record
Report an errorOpen 5 monthsWe first saw this posting 167 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 22, 2026167 days ago
- Recorded sightings
- 52
- Last seen by us
- Nov 5, 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 167
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,508 similar postings that came down. Coming down is not always a hire.
NT Concepts is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
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
- PyTorch
Where the posting names them
- Experience building and maintaining ETL or data processing pipelines - Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch - Experience with Git-based version control systems
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has NT Concepts posted this job before?
Yes. We’ve followed 2 other Data Scientist jobs there since April 2026. 2 came down, usually after about 63 days.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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 ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.
Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required.
Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area.
Responsibilities
- Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
- Design and maintain data conversion and ETL pipelines to prepare customer data for model training
- Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
- Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
- Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
- Develop and visualize explainable AI metrics and model performance indicators
- Incorporate research and development outputs into the operational code base
- Communicate analytic findings to both technical and non-technical stakeholders
- Contribute to solutioning sessions and technical sections of project proposals
Required Qualifications
- 5+ years of experience in data science, machine learning, or a related field
- Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
- Experience building and maintaining ETL or data processing pipelines
- Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
- Experience with Git-based version control systems
- Proficiency working in the Linux operating system
- Strong analytical and problem-solving skills
- Ability to work in a fast-paced, collaborative, Agile environment
- Eligibility to work in classified environments and hold required security clearances
Preferred Qualifications
- Experience with synthetic data generation and analysis for computer vision applications
- Experience with cloud-based or distributed computing platforms
- Experience deploying models into production and supporting ongoing operations and maintenance
- Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
- Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
- Experience contributing to technical proposals
#JT
The pay range listed for this position reflects the wage or salary range NT Concepts expects to pay for this role at the time of posting. The compensation offered to a successful candidate within this range will be based on legitimate, job-related factors, including (but not limited to) the candidate's work location, education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
Virginia Pay Range
$106,640—$180,504 USD
About NT Concepts
Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission—solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative “big idea” problem-solving.
Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients’ most critical challenges. Here, you’ll gain competitive benefits, opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in #NTC_GivesBack, which paves the way for positive social change.
If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we’d love to have you move forward with us.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Virginia Pay Range $106,640—$180,504 USD About NT Concepts
- Location & working pattern
Herndon, VA
Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required. Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities
- Work authorization
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery. Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges. Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required. Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area.