AI/ML Data Scientist

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 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. What Would Be Nice To Have • 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. The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. 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 L