AI​/ML Data Scientist

AI/ML Data Scientist page is loaded## AI/ML Data Scientist locations:
US - VA, Arlington:
US - Remote (Any location) time type:
Full time posted on:
Posted Todayjob requisition :
38389
** Job Family:
** Data Science Consulting
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* Travel Required:

** Up to 25%
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* Clearance Required:

** Ability to Obtain Public Trust
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* 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.
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* 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 Tensor Flow) 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 Sage Maker, 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 $-$. 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.
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* 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…