Data Scientist

Agile Defense, LLC; Colorado Springs (CO); On-site; USD 120,000 - 180,000; Full time

Job summary

Agile Defense, LLC invites a Data Scientist to support design, development, and deployment of AI-enabled data solutions within defense programs. The role focuses on building scalable data pipelines, feature engineering, and ML services in secure environments, partnering with product teams and engineers to deliver decision-support tools.

The ideal candidate has strong Python/SQL skills, experience with Spark/Databricks, and a track record in ML model deployment, within an agile, teamwork-driven

Qualifications

• Bachelor’s degree or higher plus 3 years of specialized experience, OR an associate’s degree plus 7 years of specialized experience, OR major certification plus 7 years of specialized experience, OR 11 years of 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 Department of Defense programs.
• Build data pipelines, pre-processing workflows, and feature engineering strategies.
• Collaborate with product managers, developers, and mission stakeholders to deliver actionable insights.

Skills

Data science

ML engineering

Data pipelines

Education

Bachelor’s degree or higher + experience

Tools

Spark

Databricks

PySpark

scikit-learn

TensorFlow

XGBoost

MLflow

Tableau

Job description

About Agile Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.

Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.

Requisition #

1590

Job Title

Data Scientist

Location

In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg, 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 with the ability to obtain an SCI, Must Have Clearance to Start

Job Descripton

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 of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, 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

Our Core Values

• Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.


• Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.


• Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.


• Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.


• Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.


• Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.