AI/ML Data Scientist

🕒 June 26

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $113k - $188k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

💰 Grant on 2023-02

Consulting • Digital Services • Public Sector

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• 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 the 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.

🎯 Requirements

• A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is required • A minimum of FOUR (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