AI/ML Data Scientist

Requirements:

• Ability to obtain and maintain a Federal or DHS Public Trust, with approved adjudication required before onboarding; candidates with an active Public Trust or suitability are preferred.
• Bachelors degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or a related field, or equivalent professional experience.
• At least three years of experience in data analytics, data visualization, or a related technical consulting field.
• Preferred: experience implementing AI copilots, intelligent assistants, AI agents, workflow automation, or enterprise knowledge management solutions.
• Preferred: familiarity with AI frameworks and platforms such as Amazon Bedrock, Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI, Microsoft Copilot Studio, LangChain, LangGraph, LlamaIndex, or Hugging Face.
• Preferred: experience with Databricks, Snowflake, Microsoft Fabric, Azure AI Foundry, Palantir Foundry, or other enterprise AI and analytics platforms.
• Preferred: experience with MLOps platforms such as MLflow, Azure ML, SageMaker, or Kubeflow.
• Preferred: relevant AI, cloud, or data platform certifications.
• Preferred: experience supporting federal law enforcement agencies.

Responsibilities:

• Design, develop, implement, and maintain AI and machine learning solutions that support strategic and tactical decision-making.
• Apply AI, automation, and advanced analytics to improve organizational efficiency, streamline business processes, reduce manual work, and increase workforce productivity.
• Build AI-enabled workflows for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operations.
• Develop generative AI solutions using large language models, retrieval-augmented generation, semantic search, vector databases, AI agents, and prompt engineering.
• Build predictive, classification, clustering, natural language processing, computer vision, and other machine learning models from structured, semi-structured, and unstructured data.
• Create scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms.
• Evaluate, validate, and monitor models for performance, explainability, fairness, bias, reproducibility, and operational effectiveness.
• Work with stakeholders to identify and prioritize AI use cases and translate business needs into production-ready solutions.
• Create dashboards, visualizations, technical documentation, presentations, and demonstrations to communicate AI capabilities and findings to technical and non-technical audiences.
• Support solution deployment, monitoring, and ongoing improvement using modern MLOps and DevSecOps practices.
• Apply responsible AI principles, governance, privacy, security, and human review throughout the AI lifecycle.
• Design, build, and maintain scalable ETL and AI data pipelines using Databricks, PySpark, SQL, Delta Lake, Amazon S3, and AWS analytics services.
• Mentor junior colleagues and provide technical leadership, solution design, and code reviews as appropriate.

Technologies:

• AI
• AI Agents
• AWS
• Azure
• Business Intelligence
• Cloud
• Copilot
• Computer Vision
• Databricks
• DevSecOps
• ETL
• Fabric
• Support
• Kubeflow
• Machine Learning
• MLflow
• MLOps
• Palantir Foundry
• Python
• PySpark
• SQL
• Security
• Snowflake
• Spark
• RAG

More

We are Guidehouse, and this role is part of our Data Science Consulting family on the AI and Data Defense and Security team. Our consultants help clients make better use of data and automate business processes, delivering services across analytics, data science, engineering, visualization, business intelligence, and predictive analytics. In this position, you will support organizational and mission goals within the Department of Homeland Security. The role requires hands-on technical expertise and strong communication skills, with travel of up to 10%. We offer competitive compensation and flexible benefits, including health coverage, paid leave, retirement savings, parental and adoption support, professional development, tuition reimbursement, and other programs. We are an equal opportunity employer and provide a comprehensive total rewards package.

last updated 43 week of 2026