Senior Data Scientist

Responsibilities

• Design, build, and integrate advanced AI/ML models and statistical algorithms into shared data platforms to enable data-driven decision dominance.
• Develop and optimize robust data pipelines, automated ETL/ELT workflows, and analytical services to process enterprise-level data for operational use.
• Enforce data governance standards, data management policies, and security controls across all integrated data assets and analytical models.
• Deliver centralized, secure, and reusable data products that empower Product Teams to build interoperable, decision-support applications.
• Provide technical leadership and architectural guidance to accelerate secure modernization, reduce technical debt, and ensure system resilience.
• Collaborate with cross-functional teams, port authorities, and commercial partners to enable seamless data sharing, integration, and interoperability.
• Proactively research and recommend emerging AI, machine learning, and advanced analytics technologies to support Force Design 2028 objectives.
• Ensure all automated models and data services strictly comply with federal security standards, government baselines, and DISA STIGs.

Qualifications

• High School with 9+ years (or commensurate experience)
• DoD 8570 IAT Level II certification (Security+ CE, CySA+, CCNA Security).
• Experience developing, training, and deploying enterprise-level machine learning models and data science solutions using Python.
• Prominent experience building and maintaining large-scale data pipelines, API frameworks, or cloud-based analytical environments.
• Comprehensive operational understanding of data governance practices, data architecture principles, and secure data management.
• Strong experience utilizing advanced database languages (such as SQL) and modern big data technologies to manipulate complex datasets.
• Proficiency tracking, managing, and documenting analytical workflows within enterprise environments using tools like Jira or Azure DevOps.
• Strong foundational understanding of diverse IT domains including enterprise virtualization, cloud architecture, geospatial services, and network boundaries.

Clearance

Required: Active Secret Clearance

Preferred Skills & Experience

• Experience supporting U.S. Coast Guard, Department of Homeland Security (DHS), or federal maritime mission programs.
• Familiarity with USCG Force Design 2028 objectives or PEO C5I enterprise data environments.
• Relevant professional certifications highly preferred (e.g., AWS Certified Data Analytics, Azure Data Scientist Associate, or Python/Data Science credentials).
• Familiarity with geospatial data analysis (GIS) and integrating spatial modeling into enterprise decision-support applications.
• Understanding of secure MLOps practices, containerized model deployment (Kubernetes/Docker), and automated AI/ML security gating.