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