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Agile Defense

Data Scientist

Agile Defense
Camp Smith, HI Full time Posted 1d ago
Analytics Artificial Intelligence Big Data Business Intelligence Cloud Platform Cloud Platforms Data Analysis Data Analytics Data Architecture Data Pipeline Data Pipeline Security Data Platform Data Processing Data Science Data Visualization Database Databases Databricks Reporting and Analytics SQL
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Job Description

Role onsite at Camp Smith, HI, supporting design, development, and deployment of scalable AI-enabled data solutions for the DoD's CDAO ADA IR program.

Responsibilities

  • Support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program.
  • Shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments.
  • Collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
  • Operate in agile environments that value reproducibility, testing, and continuous delivery; maintain strong technical communication and collaboration.

Requirements

  • 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).
  • Education: Bachelor’s degree.

Technologies

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

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.

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.

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