Data Scientist

Agile Defense • Colorado Springs, CO

26d

About The Position

Agile Defense is seeking a Data Scientist to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at USSPACECOM.
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise.
You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.

Requirements

• Active DoD Top Secret / SCI Clearance
• U.S. Citizenship required
• 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).
• Experience developing ML models from training to deployment using industrystandard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
• Strong understanding of data validation, model testing, and performance evaluation techniques.
• Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.

Nice To Haves

• Familiarity with the Maven Smart System ecosystem of applications.
• Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).

Responsibilities

• Design and Maintain Scalable Data Science Services
• Build and Operationalize AI/ML Solutions
• Perform Exploratory Data Analysis and Communicate Insights
• Collaborate Across Teams to Deliver Mission Impact

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed