Data Scientist & Engineer for AI-Driven Defense

Agile Defense; Washington; On-site; USD 130,000 - 155,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Paid Time Off

Holiday Pay

Disability Insurance (short/long-term)

Retirement Plan

Learning & Development

Job summary

Agile Defense is seeking a Data Scientist to support design, development, and operational deployment of scalable, AI-enabled data solutions for the Department of Defense’s CDAO ADA IR program. You will work within a multidisciplinary team in secure, containerized environments to transform raw data into actionable insights.

The role emphasizes statistical modeling, software engineering, and collaboration with product managers and mission stakeholders to ensure reproducibility, testing, and

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).
• Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).

Responsibilities

• Design, develop, and deploy scalable, AI-enabled data solutions for DoD environments.
• Shape data pipelines, pre-processing workflows, and feature engineering strategies.
• Collaborate with product managers, developers, platform engineers, and mission stakeholders to enable decision-support tools.

Skills

Data Science

Python

SQL

Spark

Databricks

PySpark

ML Deployment

Education

Bachelor's degree

Associate degree

Major certification

11 years experience

Tools

Tableau

Plotly

Matplotlib

Job description

Agile Defense is seeking a Data Scientist to support design, development, and operational deployment of scalable, AI-enabled data solutions for the Department of Defense’s CDAO ADA IR program. You will work within a multidisciplinary team in secure, containerized environments to transform raw data into actionable insights.

The role emphasizes statistical modeling, software engineering, and collaboration with product managers and mission stakeholders to ensure reproducibility, testing, and