Data Scientist – AI/ML Engineer for DoD Missions

Agile Defense, Inc.; Colorado Springs (CO); On-site; USD 120,000 - 170,000; Full time

Job summary

Agile Defense, Inc. is seeking a Data Scientist/Engineer to support the design, development, and deployment of AI-enabled data solutions within DoD programs.

You will shape data pipelines, preprocessing workflows, feature engineering, and ML services in secure environments, collaborating with product managers, developers, and mission stakeholders to deliver actionable insights. The role requires strong statistical modeling fluency and hands-on software engineering, with familiarity in

Qualifications

• 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
• Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
• Familiarity with ML model deployment, MLOps, API development, and secure cloud environments (AWS/Azure/Palantir Foundry).
• Excellent communication and collaboration in agile environments to deliver reproducible data solutions.

Responsibilities

• Design, develop, and deploy scalable AI-enabled data solutions for mission-critical DoD environments.
• Build data pipelines, pre-processing workflows, feature engineering, and ML services in secure containers.
• Collaborate with product managers, developers, and stakeholders to transform raw data into decision-support tools.

Skills

Data science experience

Python

SQL

Distributed data frameworks

Education

Bachelor's + 3 yrs

Associate + 7 yrs

Major certification + 7 yrs

11 yrs recent experience

Tools

Spark

Databricks

PySpark

MLflow

TensorFlow

scikit-learn

XGBoost

Tableau

Job description

Agile Defense, Inc. is seeking a Data Scientist/Engineer to support the design, development, and deployment of AI-enabled data solutions within DoD programs.

You will shape data pipelines, preprocessing workflows, feature engineering, and ML services in secure environments, collaborating with product managers, developers, and mission stakeholders to deliver actionable insights. The role requires strong statistical modeling fluency and hands-on software engineering, with familiarity in