AI/ML Data Scientist

🕒 Junho 5

⚔️ Virginia – Remoto

⚔️ Virginia – Remote

💵 $113.000 - $188.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

🦅 Patrocina Visto H1B

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Guidehouse

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2018

💰 Grant em 2023-02

Consulting • Digital Services • Public Sector

A Guidehouse é uma consultoria global que oferece serviços de consultoria, digitais e gerenciados nos setores comercial e público. Ela é projetada para apoiar indústrias como segurança nacional, serviços financeiros, saúde, energia e infraestrutura. A Guidehouse colabora com líderes para navegar na complexidade e impulsionar mudanças transformacionais que impactam o futuro. Sua expertise abrange análise de dados, tecnologias digitais, gestão de riscos e mais, com forte ênfase em sustentabilidade e inovação.

Descrição

• 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.

🎯 Requisitos

• 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) • 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 with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets • Strong communication skills and ability to translate analytical outputs into actionable insights.

🏖️ Benefícios

• 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