Data Scientist

Agile Defense; Tampa (FL); On-site; USD 110,000 - 165,000; Full time

Job summary

Agile Defense is seeking a Data Scientist to design, develop, and deploy scalable AI-enabled data solutions for the DoD CDAO ADA IR program. The role sits within a multidisciplinary team in secure containerized environments, turning complex data into decision-ready insights for mission-critical applications.

You will collaborate across product management, software engineering, platform teams, and mission stakeholders to transform raw data into actionable analytics and decision-support tools.

Qualifications

• 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
• Proficiency in Python, SQL, and distributed data frameworks such as Spark, Databricks, or PySpark.

Responsibilities

• Support the design, development, and deployment of scalable, AI-powered data solutions within the DoD CDAO ADA IR program.
• Join a multidisciplinary team that integrates advanced analytics, machine learning, and engineering practices into mission-critical environments across Combatant Commands.
• Design and implement data pipelines, preprocessing workflows, feature engineering strategies, and ML services inside secure, containerized environments.
• Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to convert raw data into meaningful insights and decision-support tools.

Skills

Python

SQL

Spark / Databricks / PySpark

Education

Bachelor's degree + 3 years of experience

Associate's degree + 7 years of experience

Major certification + 7 years of experience

11 years of recent specialized experience

Tools

Databricks

Palantir

AWS

Tableau

Plotly

Matplotlib

Palantir Foundry

scikit-learn

TensorFlow

XGBoost

MLflow

Job description

Agile Defense is seeking a Data Scientist to design, develop, and deploy scalable AI-enabled data solutions for the DoD CDAO ADA IR program. The role operates within a multidisciplinary team in secure containerized environments, turning complex data into decision-ready insights for mission-critical applications.

You will collaborate across product management, software engineering, platform teams, and mission stakeholders to transform raw data into actionable analytics and decision-support tools.

Responsibilities

• Support the design, development, and deployment of scalable, AI-powered data solutions within the DoD CDAO ADA IR program.
• Join a multidisciplinary team that integrates advanced analytics, machine learning, and engineering practices into mission-critical environments across Combatant Commands.
• Design and implement data pipelines, preprocessing workflows, feature engineering strategies, and ML services inside secure, containerized environments.
• Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to convert raw data into meaningful insights and decision-support tools.

Requirements

• 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
• Proficiency in Python, SQL, and distributed data frameworks such as Spark, Databricks, or PySpark.

Technologies

• Databricks
• Palantir
• AWS
• Python
• SQL
• Spark
• PySpark
• scikit-learn
• TensorFlow
• XGBoost
• MLflow
• Tableau
• Plotly
• Matplotlib
• Palantir Foundry

Requisition

1590

Location

• Falls Church, VA
• Ft. Meade, MD
• Stuttgart, Baden-Württemberg, Germany
• Tampa, FL
• Honolulu, HI (Camp H.M. Smith)
• Colorado Springs, CO
• Doral, FL
• Omaha, NE
• Scott Air Force Base, IL

Clearance

Top Secret with the ability to obtain an SCI. Must have clearance to start.

Education and Background

• 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

Preferred Skills

• Experience developing ML models from training to deployment using industry-standard tools and libraries (eg, scikit-learn, TensorFlow, XGBoost, MLflow).
• Familiarity with MLOps, API development, and secure cloud-based environments (AWS, Azure, Palantir Foundry).
• Strong understanding of data validation, model testing, and performance evaluation techniques.
• Experience with data visualization and storytelling using 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.

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.