[Remote] AI/ML Data Scientist

Note: The job is a remote job and is open to candidates in USA. Guidehouse is a consulting firm that specializes in Data Science Consulting. They are seeking an AI/ML Data Scientist to partner with stakeholders and deliver AI/analytics use cases by designing and developing machine learning models to support various data-driven solutions.

Responsibilities

• 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

Skills

• 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 retrieval, Entity resolution or relationship modeling
• Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images)
• Experience leveraging metadata and extracted features to support analytics and modeling
• Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills
• Experience working with Databricks and/or Spark-based environments for scalable data processing
• Familiarity with AWS cloud services for data access, processing, or model deployment
• Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets
• Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms)
• Understanding of model evaluation, validation, and performance metrics
• Strong communication skills and ability to translate analytical outputs into actionable insights
• Experience working in cross-functional, matrixed teams in an Agile environment
• Experience working with Palantir Foundry and/or Palantir AIP, particularly in support of AI-enabled search or analytics workflows
• Consulting experience strongly preferred
• Experience building AI-enabled search solutions, including semantic search, document retrieval, and ranking models
• Experience with multimodal data processing, including text and image-based analytics
• Familiarity with OCR/ICR pipelines and document intelligence use cases
• Experience with enterprise ML platforms (e.g., AWS SageMaker, Databricks Machine Learning) for model development, deployment, and lifecycle management
• Experience developing explainable AI (XAI) solutions, including confidence scoring and traceability of results
• Experience designing analytics dashboards or reporting solutions for end users
• Previous experience supporting federal clients or working in regulated environments
• Experience in a consulting firm and/or client-facing delivery role
• Experience supporting training, user enablement, or scaling analytics capabilities across teams
• Familiarity with graph-based analytics, ontology-driven models, or relationship mapping

Benefits

• 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

Company Overview