DoD Data Scientist & ML Engineer – Onsite SCIF

Agile Defense, LLC; Scott Air Force Base (IL); On-site; USD 120,000 - 150,000; Full time

Job summary

Agile Defense, LLC is seeking a Data Scientist to support the design, development, and operational deployment of scalable, AI-enabled data solutions within DoD programs. You will work on data pipelines, pre-processing workflows, feature engineering, and ML services in secure, containerized environments.

The role requires a blend of statistical modeling and software engineering, with collaboration across product managers, full-stack developers, and mission stakeholders.

Qualifications

• 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
• 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)

Responsibilities

• Design, develop, and deploy scalable, AI-enabled data solutions for DoD programs.
• Shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and ML services.
• Collaborate with product managers, developers, platform engineers, and stakeholders in agile environments.
• Communicate technical concepts clearly to non-technical audiences and ensure reproducibility and testing.

Skills

Python

SQL

Spark/Databricks

Education

Bachelor's degree + 3 years of experience

Associate's degree + 7 years of experience

Major certification + 7 years of experience

11 years of recent specialized experience

Job description

Agile Defense, LLC is seeking a Data Scientist to support the design, development, and operational deployment of scalable, AI-enabled data solutions within DoD programs. You will work on data pipelines, pre-processing workflows, feature engineering, and ML services in secure, containerized environments.

The role requires a blend of statistical modeling and software engineering, with collaboration across product managers, full-stack developers, and mission stakeholders.