AI/ML Data Scientist

Leidos

20h•$107,900 - $195,050

About The Position

The AI/ML Data Scientist works with mission stakeholders and multidisciplinary teams to identify high-value use cases, assess data readiness, develop predictive and prescriptive analytics, support rapid MVP pilots, and help move successful solutions toward enterprise-scale implementation. The role follows TRT’s “Start Small, Move Fast” approach: rapidly determine whether AI is appropriate for a mission problem, prototype and test solutions, measure performance and mission value, and mature successful solutions for operational use. The position develops and evaluates AI/ML solutions for Coast Guard mission and business operations; conducts data science and analytics; assesses and prepares data; supports data pipelines and integration; and contributes to automation, digital transformation, mission modeling, and decision support. It also supports responsible AI, cybersecurity and authorization requirements, Agile delivery, stakeholder demonstrations, and measurement of adoption and operational impact. The position requires a bachelor’s degree in a related technical field with 8–12 years of relevant experience, or a master’s degree with 6–10 years of relevant experience, along with at least 8 years in data science, machine learning, artificial intelligence, advanced analytics, or related disciplines. U.S. citizenship is required, and the candidate must be able to obtain and maintain a DHS Public Trust. The listed pay range is $107,900–$195,050; compensation is not guaranteed and may depend on factors including responsibilities, education, experience, skills, and internal equity.

Requirements

Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Engineering, Information Systems, Operations Research, or a related technical field and 8–12 years of relevant experience, or a master’s degree and 6–10 years of relevant experience.
At least 8 years of experience in data science, machine learning, artificial intelligence, advanced analytics, or related disciplines.
Experience developing, evaluating, and deploying machine-learning models.
Strong proficiency with 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 developing Generative AI and Large Language Model solutions.
Experience 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.
Strong written and verbal communication skills, including the ability to brief technical and non-technical stakeholders.
U.S. citizenship required.
Ability to obtain and maintain a DHS Public Trust.

Nice To Haves

Experience supporting DHS, USCG, DoD, or other Federal agencies.
Experience with agentic AI, embeddings, vector databases, or AI orchestration frameworks.
Experience with ServiceNow, Power Platform, Appian, Salesforce, or similar enterprise workflow environments.
Experience with data governance, metadata management, lineage, and authoritative data-source identification.
Familiarity with NIST AI RMF, NIST 800-53, Zero Trust, ATO/cATO, and Federal AI governance requirements.
Experience supporting CUI, PII/SPII, or other sensitive Government data.
Experience supporting Agile, rapid prototyping, or 12-week MVP delivery environments.
AWS Certified Machine Learning Engineer certification.
AWS Certified Data Engineer or Solutions Architect certification.
Microsoft Azure AI Engineer certification.
Databricks Data Engineer or Machine Learning certification.
Relevant AI/ML, cloud, or data science certification.

Responsibilities

Design, develop, test, and evaluate AI/ML solutions for 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 to improve operational decision-making, workforce productivity, and mission effectiveness.
Support AI-enabled MVPs, technical demonstrations, automation pilots, and rapid experimentation.
Evaluate commercial, Government, and open-source AI/ML models and tools for mission applicability.
Conduct exploratory data analysis, statistical modeling, data mining, and advanced analytics using structured and unstructured data.
Identify trends, patterns, anomalies, and operational insights for Coast Guard leadership.
Establish model baselines, performance metrics, acceptance criteria, and testing methodologies.
Assess model accuracy, reliability, false-positive and false-negative rates, bias, limitations, and operational suitability.
Develop dashboards, visualizations, analytical products, and performance measures for enterprise transformation initiatives.
Establish repeatable data science methodologies, analytical standards, and best practices.
Assess data 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 Coast Guard systems, repositories, and enterprise data platforms.
Collaborate with data and AI/ML engineers to transition successful prototypes into scalable production environments.
Support automation opportunity assessments, feasibility analyses, and pilot evaluations.
Collaborate with automation engineers to integrate AI/ML into workflow automation and approved enterprise platforms.
Participate in business process reengineering 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.
Support mission modeling and simulation initiatives evaluating mission execution, staffing models, operational impacts, and technology alternatives.
Develop analytical models for scenario planning, operational experimentation, forecasting, and trade-space analysis.
Translate analytical outputs into actionable recommendations and connect operational requirements, mission outcomes, and analytical results.
Work with ISSO and ISSE personnel on cybersecurity, data sensitivity, privacy, access control, and authorization requirements.
Support responsible AI practices, including human-in-the-loop processes, explainability, monitoring, and documentation of model limitations.
Document assumptions, methodologies, model risks, test results, and lessons learned; support ATO/cATO reviews and technical security documentation as required.
Participate in Agile planning, backlog refinement, sprint reviews, demonstrations, release activities, and user feedback sessions.
Collaborate with product owners, developers, analysts, architects, engineers, and mission stakeholders to translate use cases into AI/ML solutions.
Support technical demonstrations and stakeholder briefings.
Help measure user adoption, operational impact, workload reduction, and “minutes back to mission.”