Agile Defense is seeking a Data Scientist to design, develop, and deploy scalable AI-enabled data solutions for the DoD CDAO ADA IR program. The role operates within a multidisciplinary team in secure containerized environments, turning complex data into decision-ready insights for mission-critical applications.
You will collaborate across product management, software engineering, platform teams, and mission stakeholders to transform raw data into actionable analytics and decision-support tools.
Responsibilities
- Support the design, development, and deployment of scalable, AI-powered data solutions within the DoD CDAO ADA IR program.
- Join a multidisciplinary team that integrates advanced analytics, machine learning, and engineering practices into mission-critical environments across Combatant Commands.
- Design and implement data pipelines, preprocessing workflows, feature engineering strategies, and ML services inside 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, SQL, and distributed data frameworks such as Spark, Databricks, or PySpark.
Technologies
- Databricks
- Palantir
- AWS
- Python
- SQL
- Spark
- PySpark
- scikit-learn
- TensorFlow
- XGBoost
- MLflow
- Tableau
- Plotly
- Matplotlib
- Palantir Foundry
Requisition
1590
Location
- Falls Church, VA
- Ft. Meade, MD
- Stuttgart, Baden-Württemberg, Germany
- Tampa, FL
- Honolulu, HI (Camp H.M. Smith)
- Colorado Springs, CO
- Doral, FL
- Omaha, NE
- Scott Air Force Base, IL
Clearance
Top Secret with the ability to obtain an SCI. Must have clearance to start.
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
Preferred Skills
- Experience developing ML models from training to deployment using industry-standard tools and libraries (eg, scikit-learn, TensorFlow, XGBoost, MLflow).
- Familiarity with MLOps, API development, and secure cloud-based environments (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, with the ability to explain complex concepts to non-technical audiences.
Working Conditions
Requires work onsite in a SCIF.
Core Values
- Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
- Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
- Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
- Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
- Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
- Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.