Deploys and maintains Python and R data science applications, dashboards, and API models in production. Responsibilities include designing CI/CD pipelines, managing containerized environments, implementing application and model monitoring, supporting cybersecurity and compliance requirements, troubleshooting runtime issues, and optimizing data science platform tooling. The role bridges data science development with enterprise IT infrastructure and requires an active Secret clearance.

Lead cybersecurity policy, compliance, information assurance, and security architecture for enterprise cloud applications in DoD environments. Manage RMF workflows and the full ATO lifecycle, develop federal security documentation, implement DevSecOps and NIST 800-53 controls, evaluate cloud configurations and risks, and guide cross-functional teams and senior government stakeholders. The role requires hands-on eMASS experience, DoD security framework expertise, an IAT Level II certification, and an active Secret clearance.