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Guidehouse

Guidehouse, a "next-generation consultancy" and a portfolio company of Veritas Capital, provides management, risk consulting, and technology services to help clients in the commerc

AI/ML Data Scientist

Location

Virginia

Posted

42 days ago

Salary

$113K - $188K / year

Seniority

Senior

Job Description

AI/ML Data Scientist

Guidehouse

• 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.

Job Requirements

  • 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.

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

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