AI/ML Data Scientist

The AI/ML Data Scientist will work closely with mission stakeholders, business process analysts, data analysts, AI/ML engineers, automation engineers, enterprise architects, data engineers, cybersecurity personnel, and program leadership to identify high-value use cases, assess data readiness, develop predictive and prescriptive analytics solutions, support rapid MVP pilots, and transition successful solutions toward enterprise-scale implementation.

The role will support TRT’s “Start Small, Move Fast” approach by rapidly evaluating whether AI is appropriate for a mission problem, developing and testing prototypes, measuring performance and mission value, and helping mature successful solutions for operational use.
Primary Responsibilities
AI/ML Solution Development

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Design, develop, test, and evaluate AI/ML solutions supporting Coast Guard mission and business operations.

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Build predictive, prescriptive, classification, anomaly detection, NLP, generative AI, and other advanced analytical solutions.

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Develop, train, tune, and validate machine learning models that improve operational decision-making, workforce productivity, and mission effectiveness.

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Support AI-enabled MVPs, technical demonstrations, automation pilots, and rapid experimentation efforts.

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Evaluate commercial, Government, and open-source AI/ML models and tools for mission applicability.

Data Science and Analytics

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Conduct exploratory data analysis, statistical modeling, data mining, and advanced analytics using structured and unstructured data.

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Identify trends, patterns, anomalies, and operational insights to support Coast Guard leadership decisions.

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Establish model baselines, performance metrics, acceptance criteria, and test methodologies.

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Assess model accuracy, reliability, false-positive/false-negative rates, bias, limitations, and operational suitability.

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Develop dashboards, visualizations, analytical products, and performance measures supporting enterprise transformation initiatives.

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Establish repeatable data science methodologies, analytical standards, and best practices.

Data Readiness, Engineering, and Integration

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Conduct data readiness assessments covering availability, ownership, quality, completeness, lineage, authoritative sources, and accessibility.

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Clean, normalize, transform, and prepare structured and unstructured datasets for AI/ML analysis.

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Diagnose data-quality issues and recommend corrective actions.

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Support development and optimization of data pipelines, ETL processes, and reusable analytical data models.

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Support integration of data from multiple Coast Guard systems, repositories, and enterprise data platforms.

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Collaborate with data engineers and AI/ML engineers to transition successful prototypes into scalable production environments.

Automation and Digital Transformation

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Support automation opportunity assessments, feasibility analyses, and pilot evaluations.

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Collaborate with automation engineers to integrate AI/ML capabilities into workflow automation, ServiceNow, Power Platform, Appian, Salesforce, and other approved enterprise platforms.

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Participate in business process reengineering efforts and identify opportunities to reduce manual effort through AI, automation, and advanced analytics.

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Support intelligent document processing, classification, entity extraction, summarization, forms digitization, workflow generation, and AI-assisted process automation.

Mission Modeling and Decision Support

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Support mission modeling and simulation initiatives that evaluate mission execution, staffing models, operational impacts, and technology alternatives.

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Develop analytical models supporting scenario planning, operational experimentation, forecasting, and trade-space analysis.

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Translate analytical outputs into actionable recommendations for Coast Guard leadership.

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Support data-driven decision advantage by connecting operational requirements, mission o