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Closed on August 23, 2026.
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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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