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.
Role Overview
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.
Responsibilities
- 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.
Requirements
- 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 , PySpark ).
Technologies
- Python, SQL, Spark, Databricks, PySpark
- scikit-learn, TensorFlow, XGBoost
- MLflow, MLOps, API development
- AWS, Azure, Palantir Foundry
- Tableau, Plotly, Matplotlib
Location
- 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
Clearance
- Top Secret with the ability to obtain an SCI
- Must have clearance to start
Preferred Skills
- Experience developing ML models from training through deployment using tools such as scikit-learn , TensorFlow , 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.
Working Conditions
- Work is performed onsite in a SCIF .
Education and Background
- 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 Information
Requisition #: 1590
#J-18808-Ljbffr