Data Scientist

NT Concepts•Chantilly, VA

6h•Onsite

About The Position

NT Concepts is an innovative, agile company dedicated to solving critical challenges in National Security. As a Data Scientist, you will have the unique opportunity to solve hard problems and help turn complex concepts into reality to advance and enhance systems supporting the defense of our nation. You will be part of a solutions-oriented, Agile/Scrum team designing and developing custom applications and components to support innovative data science capabilities. Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow SAFe practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to “automate-first”, use modern tech stacks, and constantly challenge each other to grow and improve. 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, fostering a collaborative environment where talented teams work together to solve clients’ most critical challenges. The company offers competitive benefits, opportunities to bolster skills, develop new abilities, and a culture dedicated to support and service, including the #NTC_GivesBack program for positive social change.

Requirements

Active TS/SCI Poly clearance.
Bachelor's degree in a technical field (Computer Science, Mathematics, Statistics, or related discipline).
4+ years of Data Science experience, including designing and implementing data curation techniques, especially for imagery data.
Proficiency in Python and/or R, with experience using relevant programming languages and technologies.
Familiarity with an array of data science tools and languages including Python, R, SQL, and others as needed.
Experience with Machine Learning, Computer Vision, and Object Detection.
Experience building and maintaining ETL pipelines, including Kubeflow pipelines.
Hands-on experience with imagery data, overhead imagery (optical or Synthetic Aperture Radar (SAR)), and synthetic data.
Strong understanding of large-scale distributed processing and parallel computing.
Familiarity with machine and deep learning libraries such as Scikit-learn, TensorFlow, and PyTorch.
Experience organizing and managing tasks in an agile environment (JIRA/Confluence).
Ability to build and maintain strong relationships with mission partners and stakeholders.
Proficient with Git version control systems and comfortable working in Linux OS environments.

Nice To Haves

Prior experience with PyTorch, Keras, and overhead imagery would be beneficial but is not required.

Responsibilities

Perform research and development on advanced artificial intelligence and machine learning techniques for customers.
Communicate results of AI/ML research to non-technical audiences, translating complex findings into actionable insights.
Write efficient, distributed, and parallelized Python code to support AI/ML initiatives.
Organize and manage tasks using agile methodologies and tools such as JIRA and Confluence.
Liaison with mission partners to represent customer workflows and establish interorganizational relationships.
Assess, transform, organize, and optimize data for use by machine learning algorithms.
Generate representative data sets for systems development and data science initiatives.
Build data pipelines that enable data scientists, engineers, and other stakeholders.
Implement source code and code provided by the data science team.
Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
Develop data-driven solutions to difficult mission challenges.
Develop scripts and software programs to address requirements using programming languages, tools, and computational methods.
Develop and/or consult on advanced methodological approaches, statistical and algorithmic analysis, and/or tailored software application support.
Create quantitative and qualitative data analytics and models to represent human behavior.
Identify patterns in data and translate findings into actionable intelligence.
Cooperate with software professionals in integrating analytical logic into a general software framework.
Train and fine-tune foundation models to address real intelligence questions and advance the Intelligence Community.
Write compelling documentation and reports for decision makers.