Data Scientist

📋 Description

• Design, develop, and deploy scalable AI-enabled data solutions for DoD CDAO ADA IR.
• Build and maintain data pipelines, preprocessing, and feature engineering in secure containers.
• Collaborate with product managers, developers, platform engineers, and mission stakeholders.
• Work in an agile environment with reproducibility, testing, and continuous delivery.
• Ensure performance, reliability, and security in DoD cloud-native architecture.
• Package data science services with APIs for end-user applications.

🎯 Requirements

• 4+ years of experience in applied data science, ML engineering, or data pipeline development.
• Proficient in Python, SQL, and distributed data frameworks (Spark, Databricks, PySpark).
• Experience building ML models from training to deployment using scikit-learn, TensorFlow, XGBoost, MLflow.
• Familiarity with MLOps, API development, and secure cloud environments (AWS, Azure, Palantir Foundry).
• Strong data validation, model testing, and performance evaluation techniques.
• Excellent technical communication skills.

🎁 Benefits

• Competitive benefits package.
• Collaborative, values-driven culture.
• Growth and professional development opportunities.
• Equal Opportunity Employer.