Data Scientist, AI/ML

About The Company Guidehouse is a leading management, consulting, and technology services firm dedicated to helping organizations solve complex challenges. With a focus on innovation and excellence, Guidehouse partners with government agencies, commercial enterprises, and non-profit organizations to deliver tailored solutions that drive operational efficiency, strategic growth, and impactful results. Committed to fostering a diverse and inclusive workplace, Guidehouse values integrity, collaboration, and continuous learning to ensure client success and employee development. About The Role We are seeking a highly skilled Data Scientist specializing in AI, Data Defense, and Security to join our dynamic team. In this role, you will be instrumental in designing, developing, and deploying advanced AI and machine learning solutions that support mission-critical initiatives within the Department of Homeland Security (DHS). The ideal candidate will possess a strong technical background, exceptional communication skills, and the ability to translate complex business needs into scalable AI-driven solutions. You will collaborate with stakeholders across various departments to identify opportunities, implement innovative AI workflows, and ensure the responsible deployment of AI systems that enhance security, efficiency, and decision-making capabilities. Qualifications Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related field (or equivalent professional experience).Minimum of three (3) years of experience in data analytics, data visualization, or related technical consulting fields.Ability to obtain and maintain a Federal or DHS "Public Trust" clearance; candidates with an active Public Trust or suitability are preferred.Proficiency in programming languages such as Python, SQL, and familiarity with cloud platforms like AWS, Azure, or Google Cloud.Experience with machine learning frameworks and tools such as TensorFlow, PyTorch, or scikit-learn.Strong understanding of data pipelines, ETL processes, and data warehousing concepts.Excellent communication skills with the ability to present technical concepts to non-technical stakeholders. Responsibilities Design, develop, implement, and maintain AI and machine learning solutions to enhance strategic and tactical decision-making processes.Identify opportunities to improve organizational efficiency through AI, automation, and advanced analytics, reducing manual efforts and increasing productivity.Create AI-enabled workflows for document processing, knowledge management, literature reviews, information retrieval, and operational decision support.Develop Generative AI (GenAI) solutions utilizing large language models (LLMs), retrieval augmented generation (RAG), semantic search, vector databases, AI agents, and prompt engineering techniques.Build predictive, classification, clustering, NLP, and computer vision models using structured and unstructured data.Develop scalable data science pipelines leveraging Python, Spark, SQL, Delta Lake, and cloud-native analytics platforms.Evaluate, validate, and monitor AI models for performance, fairness, bias, explainability, and operational effectiveness.Collaborate with stakeholders to identify AI use cases, prioritize opportunities, and translate business needs into production-ready solutions.Create dashboards, visualizations, technical documentation, and presentations to communicate analytical insights effectively to diverse audiences.Support deployment, monitoring, and continuous improvement of AI solutions following MLOps and DevSecOps practices.Apply responsible AI principles, ensuring 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, AWS services, and related tools.Mentor junior team members, providing technical guidance, solution design input, and conducting code reviews. Benefits Comprehensive medical, dental, vision, and prescription insurance coverage.Paid personal and family sick leave, along with company-recognized holidays.Potential eligibility for discretionary variable incentive bonuses.Parental leave and adoption assistance programs.401(k) retirement savings plan with company matching.Basic and supplemental life insurance options.Flexible Spending Accounts (Health, Dental, Dependent Care).Short-term and long-term disability coverage.Student Loan PayDown program to support educational debt reduction.Tuition reimbursement, ongoing personal development, and certification opportunities.Employee referral programs and participation in corporate-sponsored events and community outreach initiatives.Emergency back-up childcare program and mobility stipends to support work-life balance. Equal Opportunity Guidehouse is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected class under applicable law. We welcome applicants from all backgrounds and are dedicated to providing reasonable accommodations throughout the recruitment process to ensure equal opportunity for all candidates.