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NEXTMOVEFDE careers · United States

Data Scientist

AI summary of the role

Mid-to-senior Data Scientist contributing to a defense program advancing object detection robustness using overhead imagery.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Curate, transform, and optimize imagery data (optical, SAR, synthetic) for machine learning algorithms
  • Design and maintain data conversion and ETL pipelines for model training
  • Generate and analyze synthetic data to augment computer vision models
  • Train, evaluate, and optimize deep neural network models on overhead imagery

What you’ll bring

  • 5+ years experience in data science, machine learning, or related field
  • Hands-on experience with data curation for overhead imagery (optical or SAR) and computer vision model development
  • Proficiency in Python and familiarity with PyTorch
  • Experience with Git-based version control and Linux

Technologies

Python · PyTorch · Git · Linux · ETL · SAR · optical imagery · computer vision · deep neural networks · DataOps · DevSecOps · MLOps

About NT Concepts

Privately held defense and intelligence technology firm delivering data science, AI/ML, computer vision, and digital modernization for DoD and IC mission-critical programs.

Bootstrapped · 200–500 people

Source and classification

Internal deployment & tooling · Evidence for this classification:

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
More from the 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 [... source excerpt omitted ...] 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 analytica [... source excerpt omitted ...] -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 contributin

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