Data Scientist

Agile Defense is seeking a Data Scientist / Engineer to design, develop, and operationally deploy scalable, AI-enabled data solutions for the Department of Defense's CDAO ADA IR program. This position supports mission-critical work in secure, containerized environments and includes collaboration with multidisciplinary stakeholders to turn raw data into decision-support insights.

The role focuses on building data pipelines and machine learning services for operational deployment within DoD programs. Work is conducted onsite in a SCIF and includes supporting end-to-end solution lifecycle activities, from pipeline and workflow design through deployment-ready ML services.

• Support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense's CDAO ADA IR program.
• Contribute to data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services implemented in secure, containerized environments.
• Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to convert raw data into meaningful insights and decision-support tools.

• 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
• Proficiency in Python and SQL
  , along with distributed data frameworks (e.g.,
  Spark
  , Databricks
  , Py Spark ).

• Python, SQL, Spark, Databricks, Py Spark
• scikit-learn, Tensor Flow, XGBoost
• MLflow, MLOps, API development
• AWS, Azure, Palantir Foundry
• Tableau, Plotly, Matplotlib

• Onsite: Scott Air Force Base, IL
• In Person options: Falls Church, VA;
  Ft. Meade, MD;
  Stuttgart, Baden-Württemberg, Germany;
  Tampa, FL;
  Honolulu (Camp H.M. Smith), HI;
  Colorado Springs, CO;
  Doral (Miami area), FL;
  Omaha (Offutt Air Force Base), NE;
  Scott Air Force Base, IL

• Top Secret with the ability to obtain an SCI
• Must have clearance to start

• Experience developing ML models from training through deployment using tools such as scikit-learn
  , Tensor Flow
  , XGBoost
  , and MLflow
  .
• Familiarity with MLOps
  , API development
  , and secure cloud-based environments (e.g.,
  AWS
  , Azure
  , Palantir Foundry
  ).
• Strong understanding of data validation, model testing, and performance evaluation techniques.
• Experience with data visualization and storytelling using Tableau
  , Plotly
  , or Matplotlib
  .
• Excellent technical communication skills, including the ability to explain complex concepts to non-technical audiences.

• Work is performed onsite in a SCIF
  .

• Bachelor's degree plus 3 years of recent specialized experience
• Associate's degree plus 7 years of recent specialized experience
• Major certification plus 7 years of recent specialized experience
• 11 years of recent specialized experience

Requisition #: 1590