Mission‑Driven Data Scientist for AI in Defense

Agile Defense, Inc.; Florida; On-site; USD 120,000 - 180,000; Full time

Job summary

Agile Defense is seeking a Data Scientist / Engineer to support design, development, and deployment of scalable, AI-enabled data solutions within the DoD’s CDAO ADA IR program. This role sits on a multidisciplinary team delivering analytics, ML, and engineering practices in mission-critical environments.

You will shape data pipelines, pre-processing workflows, feature engineering, and machine learning services in secure, containerized environments, collaborating with product managers,

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).

Responsibilities

• Design, develop, and deploy scalable AI-enabled data solutions within the DoD’s ADA IR program.
• Build data pipelines, pre-processing workflows, feature engineering, and ML services in secure, containerized environments.
• Collaborate with product managers, developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.

Skills

Applied data science

Machine learning engineering

Python

SQL

Distributed data frameworks

Education

Bachelor's degree in a related field

Major certification or equivalent experience

Tools

Spark

Databricks

PySpark

Tableau

Plotly

Matplotlib

TensorFlow

scikit-learn

MLflow

XGBoost

AWS

Azure

Palantir Foundry

Job description

Agile Defense is seeking a Data Scientist / Engineer to support design, development, and deployment of scalable, AI-enabled data solutions within the DoD’s CDAO ADA IR program. This role sits on a multidisciplinary team delivering analytics, ML, and engineering practices in mission-critical environments.

You will shape data pipelines, pre-processing workflows, feature engineering, and machine learning services in secure, containerized environments, collaborating with product managers,