AI/ML Data Scientist

Job Family:

Data Science Consulting

Travel Required:

Up to 10%

Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Our consultants on the AI and Data Defense and Security team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Department of Homeland Security (DHS). This role requires hands on technical expertise and strong communication skills. Responsibilities include, but are not limited to:

• Design, develop, implement, and maintain AI and machine learning solutions that improve strategic and tactical decision-making.

• Identify opportunities to improve organizational efficiency by applying AI, automation, and advanced analytics to streamline business processes, reduce manual effort, and enhance workforce productivity.

• Design and implement AI-enabled workflow solutions for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operational functions.

• Develop Generative AI (GenAI) solutions using large language models (LLMs), retrieval augmented generation (RAG), semantic search, vector databases, AI agents, and prompt engineering techniques.

• Develop predictive, classification, clustering, natural language processing (NLP), 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 that 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.

What You Will Need:

• Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred

• Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related field (or equivalent professional experience).

• Three (3) or more years of experience in data analytics, data visualization, or related technical consulting fields.

What Would Be Nice To Have:

• 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.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.