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Data Scientist / Engineer at Agile Defense | Fort Meade, MD

Agile DefenseFort Meade, MD
On-site Full-time

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Experience Level

Experience

Qualifications

Qualifications:Proven experience in data science, machine learning, or a related field. Strong programming skills in languages such as Python, R, or Java. Experience with data visualization tools and techniques. Familiarity with cloud platforms and big data technologies. Excellent problem-solving abilities and attention to detail. Ability to work collaboratively in a team-oriented environment.

About the job

At Agile Defense, we believe that proactive action shapes our future and that innovative solutions are essential to address emerging challenges. With an unwavering commitment to progress, we embrace change and endeavor to build for what lies ahead.

Our mission is to deliver adaptive innovations that enhance our nation's most critical missions through the seamless integration of cutting-edge technologies, exceptional talent, and unmatched agility. We capitalize on our strengths in speed, flexibility, and creativity to fortify and safeguard our nation's core interests.

Requisition #: 1424
Title: Data Scientist / Engineer
Clearance: TS/SCI CI Poly
Location: Ft. Meade, MD

Role Overview

Agile Defense is on the lookout for a talented Data Scientist / Engineer who will play a pivotal role in designing, developing, and deploying scalable, AI-driven data solutions within the Department of Defense’s CDAO ADA IR program. This position is part of a dynamic multidisciplinary team that integrates advanced analytics, machine learning, and engineering practices into mission-critical operations at CYBERCOM.

In this role, you will be instrumental in shaping and implementing data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services in secure, containerized environments. The ideal candidate will possess a unique blend of statistical modeling proficiency and hands-on software engineering experience. You will work collaboratively with product managers, full-stack developers, platform engineers, and mission stakeholders to convert raw data into actionable insights and decision-support tools.
This position necessitates exceptional technical communication skills, a collaborative spirit, and experience in agile environments that prioritize reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly desirable.

Key Responsibilities

Objective 1: Design and Maintain Scalable Data Science Services
· Plan, develop, and sustain reusable services for data ingestion, transformation, and feature engineering that underpin AI/ML workflows.
· Implement essential data science capabilities, including entity resolution, classification, clustering, or prediction, within containerized environments following CI/CD, version control, and testing protocols.
· Collaborate with DevSecOps engineers to integrate services into secure production environments using tools like Databricks, Docker, and Terraform.
· Ensure that services comply with performance, reliability, and security standards aligned with DoD enterprise and cloud-native architecture.
Objective 2: Build and Operationalize AI/ML Solutions
· Develop and deploy standalone machine learning models and applications that provide significant value to mission objectives.

About Agile Defense

Agile Defense is a forward-thinking company dedicated to enhancing national security through innovative solutions that integrate advanced technology with skilled professionals. By fostering a culture of agility and adaptability, we strive to meet the evolving needs of our country's defense.

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