AI/ML Data Scientist

Guidehouse•Arlington, VA

2d•$113,000 - $188,000

About The Position

As part of Guidehouse’s AI and Data Defense and Security team, the AI/ML Data Scientist helps clients maximize the value of their data and automate business processes. The team delivers data analytics and data science services ranging from data querying, wrangling, and engineering to visualization, dashboarding, business intelligence, and predictive analytics. This role supports organizational and mission goals within the Department of Homeland Security (DHS) and combines hands-on technical work with strong communication and collaboration.

Requirements

Must be able to obtain and maintain a Federal or DHS Public Trust; approved adjudication must be obtained before onboarding.
Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or a related field, or equivalent professional experience.
Three or more years of experience in data analytics, data visualization, or related technical consulting fields.

Nice To Haves

Active Public Trust or suitability.
Experience implementing AI copilots, intelligent assistants, AI agents, workflow automation, or enterprise knowledge management solutions.
Experience with Amazon Bedrock, Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI, Microsoft Copilot Studio, LangChain, LangGraph, LlamaIndex, Hugging Face, or similar AI frameworks.
Experience with Databricks, Snowflake, Microsoft Fabric, Azure AI Foundry, Palantir Foundry, or other enterprise AI and analytics platforms.
Experience with MLOps platforms such as MLflow, Azure ML, SageMaker, Kubeflow, or similar technologies.
Relevant AI, cloud, or data platform certifications.
Experience supporting federal law enforcement agencies.

Responsibilities

Design, develop, implement, and maintain AI and machine learning solutions that improve strategic and tactical decision-making.
Identify opportunities to improve organizational efficiency using AI, automation, and advanced analytics to streamline processes, reduce manual effort, and enhance workforce productivity.
Design and implement AI-enabled workflows for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operational functions.
Develop generative AI solutions using large language models, retrieval-augmented generation, semantic search, vector databases, AI agents, and prompt engineering.
Develop predictive, classification, clustering, natural language processing, computer vision, and other machine learning models using structured, semi-structured, and unstructured data.
Develop scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms.
Evaluate, validate, and monitor AI models for performance, explainability, fairness, bias, reproducibility, and operational effectiveness.
Collaborate with stakeholders to identify AI use cases, prioritize opportunities, and translate business needs into production-ready AI solutions.
Develop dashboards, visualizations, technical documentation, presentations, and demonstrations to communicate AI capabilities and analytical findings to technical and non-technical audiences.
Support deployment, monitoring, and continuous improvement of AI and machine learning solutions using modern MLOps and DevSecOps practices.
Apply responsible AI principles, governance, privacy, security, and human-in-the-loop 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 team members and provide technical leadership, solution design, and code reviews as appropriate.

Benefits

Medical, prescription drug, dental, and vision insurance.
Personal and family sick time and company-paid holidays.
Position may be eligible for a discretionary variable incentive bonus.
Parental leave and adoption assistance.
401(k) retirement plan.
Basic life and supplemental life insurance.
Health Savings Account and dental/vision and dependent care Flexible Spending Accounts.
Short-term and long-term disability.
Student loan paydown.
Tuition reimbursement, personal development, and learning opportunities.
Skills development and certifications.
Employee referral program.
Corporate-sponsored events and community outreach.
Emergency back-up childcare program.
Mobility stipend.