[Hiring] AI/ML Data Scientist @Leidos

Role 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
• 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
• Helping mature successful solutions for operational use

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Engineering, Information Systems, Operations Research, or related technical field and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience
• 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
  • 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 with the ability to brief technical and non-technical stakeholders
• U.S. Citizenship required
• Ability to obtain and maintain a DHS Public Trust

Requirements

• 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
• 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
• 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
• Support automation opportunity assessments, feasibility analyses, and pilot evaluations
• Collaborate with automation engineers to integrate AI/ML capabilities into workflow automation, ServiceNow, 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
• 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
• 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 required
• Participate in Agile planning, backlog refinement, sprint reviews, demonstrations, release activities, and user feedback sessions
• Work 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”

Benefits

• Competitive salary
• Comprehensive health benefits
• Retirement plans
• Professional development opportunities
• Flexible work arrangements

Company Description

At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail.