Data Scientist

Requisition #: 1590

Job Title: Data Scientist

Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL

Clearance Level: Top Secret / SCI, Must Have Clearance to Start

Job Description

Agile Defense is seeking a Data Scientist / Engineer 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 Combatant Commands.

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.

Education and Background

A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years… OR, a major certification plus 7 years… OR, 11 years of recent specialized experience.

Required Skills

• 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)

Preferred Skills

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

• Familiarity with MLOps, API development, and secure cloud‑based environments (e.g., AWS, Azure, Palantir Foundry)

• Strong understanding of data validation, model testing, and performance evaluation techniques

• Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib

• Excellent technical communication skills, with the ability to explain complex concepts to non‑technical audiences

Working Conditions

Requires work onsite in a SCIF.

Equal Opportunity Employer / Protected Veterans / Individuals with Disabilities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.