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.

Requirements

Must-haves

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.
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
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agilemachine learningaipythonml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision