Guidehouse
AI/MLDataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“AI/ML Data Scientist at Guidehouse. Skills: Machine learning, Data science, NLP, Information retrieval. Define AI/analytics use cases. Translate business needs”
Industry & Context.
Insight generation
Up to 25% travel, Ability to Obtain Public Trust, U.S. Citizenship
What They're Looking For.
Must Have
Bachelor's or Master's degree, 4 years of experience, U.S. Citizenship required, Experience developing machine learning models, Experience with NLP, Experience with semantic search, Experience with entity resolution, Experience with large-scale data, Proficiency in Python, Proficiency in SQL, Experience with Databricks, Experience with Spark, Experience with AWS cloud services, Experience with data lake architectures, Experience integrating models into production
Nice to Have
Palantir Foundry experience, Palantir AIP experience, AI-enabled search solutions experience, Multimodal data processing experience, OCR/ICR pipelines experience, Enterprise ML platforms experience, Explainable AI (XAI) solutions experience, Analytics dashboards experience, Federal clients experience, Consulting firm experience, Client-facing delivery role experience, Graph-based analytics experience, Ontology-driven models experience, Relationship mapping experience
What You'll Do.
Define AI/analytics use cases
Translate business needs
Develop machine learning models
Develop analytical approaches
Build NLP capabilities
Build semantic search capabilities
Build entity resolution capabilities
Extract insights from document data
Integrate models into production
Develop model evaluation frameworks
Develop confidence scoring
Develop explainability approaches
Support analytics development
Support reporting development
Support dashboard development
Contribute to sprint planning
Contribute to experimentation
Contribute to iterative solution delivery
Communicate recommendations
Contribute to solution design
Support proposal development
Contribute to thought leadership
How You'll Work.
Team & Collaboration
Cross-functional teams; Agile environment; Client stakeholders
Communication Scope
Client communication; Technical communication; Non-technical communication
Process & Methodology
Agile delivery model
Full Job Description
**_Job Family_ :** Data Science Consulting ** _Travel Required_ :** Up to 25% **_Clearance Required_ :** Ability to Obtain Public Trust ** _What You Will Do_ :** * Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data. * Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. * Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions. * Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms. * Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs. * Support development of analytics, reporting, and dashboards to drive operational insights and decision-making. * Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery. * Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders. * Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities. **_What You Will Need_ :** * Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * A minimum of 4 years of experience in data science, machine learning, or applied analytics roles * U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance. * Experience developing and applying machine learning models, including: * Natural Language Processing (NLP) * Semantic search or information retr
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