AI/ML Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate 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 and evaluate data readiness.

• Design, develop, test, and assess AI/ML solutions that support the Coast Guard's mission and business operations.

• Create predictive, prescriptive, classification, anomaly detection, NLP, generative AI, and other sophisticated analytical solutions.

• Develop, train, optimize, and validate machine learning models.

• Assist with AI-enabled MVPs, technical demonstrations, automation pilots, and rapid experimentation.

• Evaluate commercial, government, and open-source AI/ML models and tools.

• Perform exploratory data analysis, statistical modeling, data mining, and advanced analytics.

• Identify trends, patterns, anomalies, and operational insights for Coast Guard leadership.

• Set model baselines, performance metrics, acceptance criteria, and testing methodologies.

• Evaluate model accuracy, reliability, false-positive/false-negative rates, biases, limitations, and operational suitability.

• Develop dashboards, visualizations, analytical products, and performance metrics.

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

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

• Clean, normalize, transform, and prepare both structured and unstructured datasets.

• Diagnose data quality issues and recommend corrective measures.

• Support data pipelines, ETL processes, reusable analytical data models, and integration across Coast Guard systems and enterprise data platforms.

• Transition successful prototypes into scalable production environments.

• Assist with automation opportunity assessments, feasibility studies, pilot evaluations, and business process reengineering.

• Integrate AI/ML capabilities into workflow automation, ServiceNow, Power Platform, Appian, Salesforce, and other approved enterprise platforms.

• Provide support for intelligent document processing, classification, entity extraction, summarization, forms digitization, workflow generation, and AI-assisted process automation.

• Support mission modeling and simulation, scenario planning, operational experimentation, forecasting, and trade-space analysis.

• Convert analytical outputs into actionable recommendations for Coast Guard leadership.

• Address requirements concerning cybersecurity, data sensitivity, privacy, access control, authorization, responsible AI, explainability, monitoring, and model documentation.

• Assist with ATO/cATO-related reviews and technical security documentation.

• Engage in Agile planning, backlog refinement, sprint reviews, demonstrations, release activities, and user feedback sessions.

• Translate use cases into AI/ML solutions while collaborating with product owners, developers, analysts, architects, engineers, and mission stakeholders.

• Support stakeholder briefings and assess user adoption, operational impact, workload reduction, and “minutes back to mission.”

⛳️ Requirements

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Engineering, Information Systems, Operations Research, or a related technical field, along with 8–12 years of relevant experience; or a Master’s degree with 6–10 years of relevant experience.

• Over 8 years of experience in data science, machine learning, artificial intelligence, advanced analytics, or related fields.

• Proven experience in developing, evaluating, and deploying machine learning models.

• Strong proficiency in Python, SQL, Scikit-Learn, TensorFlow and/or PyTorch, and Hugging Face or similar AI/ML frameworks.

• Experience with predictive analytics, statistical analysis, data mining, and model evaluation.

• Experience working with large, complex structured and unstructured datasets.

• Experience in developing Generative AI and Large Language Model solutions.

• Familiarity with Retrieval Augmented Generation architectures.

• Experience with cloud and data platforms such as AWS, Azure, GovCloud, Databricks, Apache Spark, Hadoop, Kafka, Airflow, or AWS Glue.

• Experience integrating AI/ML capabilities with enterprise applications, workflow platforms, APIs, or data services.

• Excellent written and verbal communication skills, with the ability to brief both technical and non-technical stakeholders.

• U.S. Citizenship is required.

• Ability to obtain and maintain a DHS Public Trust clearance.

• Preferred: Experience supporting DHS, USCG, DoD, or other Federal agencies; knowledge of agentic AI, embeddings, vector databases, AI orchestration frameworks; experience with ServiceNow, Power Platform, Appian, Salesforce, or similar enterprise workflow environments; familiarity with data governance, metadata management, lineage, and authoritative data-source identification; understanding of NIST AI RMF, NIST 800-53, Zero Trust, ATO/cATO, and Federal AI governance; experience with CUI, PII/SPII, or other sensitive Government data; exposure to Agile, rapid prototyping, or 12-week MVP delivery environments.

• Desired certifications include AWS Certified Machine Learning Engineer; AWS Certified Data Engineer or Solutions Architect; Microsoft Azure AI Engineer; Databricks Data Engineer / Machine Learning certification; and relevant AI/ML, cloud, or data science certifications.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and continuous learning.

• Collaborative and supportive work environment.

• Work on impactful projects that support national security and public safety.