Agile Defense
BI and Advanced Analytics
DataScientist/Engineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist / Engineer at Agile Defense. Skills: Data Science, Machine Learning, Data Engineering, Python, SQL. Design AI-enabled data solutions. Develop AI-enabled data solutions”
What You'll Achieve.
Scalable AI-enabled data solutions; Meaningful insights; Decision-support tools
Industry & Context.
Statistical modeling fluency; Hands-on software engineering expertise
Onsite in a SCIF, Security clearance may be required
What They're Looking For.
Must Have
Bachelor's degree plus 3 years of recent specialized experience, Associate's degree plus 7 years of recent specialized experience, Major certification plus 7 years of recent specialized experience, 11 years of recent specialized experience, 4+ years of experience in applied data science, 4+ years of experience in machine learning engineering, 4+ years of experience in data pipeline development, Proficient in Python, Proficient in SQL, Proficient in distributed data frameworks
Nice to Have
Familiarity with MLOps, Familiarity with API development, Familiarity with secure cloud-based environments, Understanding of data validation, Understanding of model testing, Understanding of performance evaluation techniques, Experience with data visualization, Experience with storytelling, Databricks, Palantir, AWS-native data services
What You'll Do.
Design AI-enabled data solutions
Develop AI-enabled data solutions
Deploy AI-enabled data solutions
Integrate analytics into environments
Integrate machine learning into environments
Integrate engineering practices into environments
Deploy data pipelines
Pre-process data workflows
Develop machine learning services
Create decision-support tools
How You'll Work.
Team & Collaboration
Collaborate with product managers; Collaborate with full-stack developers; Collaborate with platform engineers; Collaborate with mission stakeholders
Communication Scope
Technical communication skills; Explain complex concepts
Process & Methodology
Agile environments
Full Job Description
## 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. ## 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 of recent specialized experience, OR, a major certification plus 7 years of recent s
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