Data Scientist
Analytics
Artificial Intelligence
Big Data
Business Intelligence
Cloud Platform
Cloud Platforms
Data Analysis
Data Analytics
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Science
Data Visualization
Database
Databases
Databricks
DevOps
ETL
Information Technology (IT)
Machine Learning
Machine Learning Engineer
Ml Ops
Reporting and Analytics
SQL
Job Description
Agile Defense offers a mission driven environment where data science and engineering converge to deliver AI enabled data solutions for Department of Defense programs. You will join a multidisciplinary team executing advanced analytics, machine learning, and decision support tools in mission critical settings. This onsite role in Washington, DC offers a competitive salary of USD 130,000 to 155,000 per year, plus comprehensive health, retirement, and learning and development opportunities. The position is based in a SCIF at the Pentagon, reflecting a secure, collaborative work culture.
What you will do
- Contribute to the design, development, and operational deployment of scalable AI enabled data solutions within the DoD CDAO ADA IR program.
- Shape and deploy 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 turn raw data into meaningful insights and decision support tools.
- Work as part of a multidisciplinary team that integrates advanced analytics, machine learning, and engineering practices in mission critical environments across Combatant Commands.
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, and PySpark.
- Experience moving ML models from training to deployment using industry standard tools and libraries (eg, scikit-learn, TensorFlow, XGBoost, MLflow).
Technologies
- Python
- SQL
- Spark
- Databricks
- PySpark
- scikit-learn
- TensorFlow
- XGBoost
- MLflow
- AWS
- Azure
- Palantir Foundry
- Tableau
- Plotly
- Matplotlib
Benefits
- Health Insurance
- Life Insurance
- Paid Time Off
- Holiday Pay
- Short-term Disability
- Long-term Disability
- Retirement
- Learning and Development opportunities
- Other optional benefit elections
Education and Background
- A bachelor's degree plus 3 years of recent specialized experience, OR an associate's degree plus 7 years of recent specialized experience, OR a major certification plus 7 years of recent specialized experience, OR 11 years of recent specialized experience.
Experience
- Minimum 3 years of relevant work experience, with the exact requirement varying by educational path.
Working conditions
- Onsite in a SCIF at the Pentagon, Washington, DC.
Our core values
- Happy - Be Infectious. Happiness multiplies and fosters a positive, connected environment that amplifies motivation and satisfaction.
- Helpful - Be Supportive. Collaboration thrives when teammates are genuinely helpful, driving collective success.
- Honest - Be Trustworthy. Transparency and ethical conduct guide all actions in complex domains.
- Humble - Be Grounded. Humility supports mutual respect and openness to learning and collaboration.
- Hungry - Be Eager. A strong drive for excellence fuels innovation and continuous improvement.
- Hustle - Be Driven. A relentless work ethic propels the mission forward and ensures dependable results.