AI​/ML Data Scientist

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

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

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

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

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

** Data Science and Analytics*
* + Conduct exploratory data analysis, statistical modeling, data mining, and advanced analytics using structured and unstructured data.

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

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

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

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

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

** Data Readiness, Engineering, and Integration*
* + Conduct data readiness assessments covering availability, ownership, quality, completeness, lineage, authoritative sources, and accessibility.

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

+ Diagnose data-quality issues and recommend corrective actions.

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

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

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

** Automation and Digital Transformation*
* + Support automation opportunity assessments, feasibility analyses, and pilot evaluations.

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

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

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

** Mission Modeling and Decision Support*
* + Support mission modeling and simulation initiatives that evaluate mission execution, staffing models, operational impacts, and technology alternatives.

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

+ Translate analytical outputs into actionable recommendations for Coast Guard leadership.

+ Support data-driven decision advantage by connecting operational requirements, mission outcomes, and analytical results.

** AI Governance, Security, and Responsible Use*
* + Work with ISSO and ISSE personnel to address cybersecurity, data sensitivity, privacy, access control, and authorization requirements.

+ Support responsible AI practices, including human-in-the-loop decision processes, explainability, monitoring, and documentation of model limitations.

+ Document assumptions, methodologies, model risks, test results, and lessons learned.

+ Support ATO/cATO-related reviews and technical security documentation as…