Design, develop, and deploy scalable AI-enabled data solutions.
Build data pipelines, preprocessing workflows, and feature engineering.
Collaborate with product managers, developers, and mission stakeholders.
Apply statistical modeling with hands-on software engineering in agile, reproducible workflows.
Familiar with cloud-based data platforms such as Databricks, Palantir Foundry, or AWS.

🎯 Requirements

4+ years in applied data science, ML engineering, or data pipelines.
Proficient in Python, SQL, and distributed data frameworks (Spark, Databricks).
ML model development from training to deployment (scikit-learn, TF, XGBoost, MLflow).
Education: Bachelor's +3 yrs or Associate +7 yrs or cert +7 yrs or 11 yrs exp.
Active Top Secret / SCI clearance required to start.
Cloud familiarity: Databricks, Palantir Foundry, AWS.

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