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[Remote] AI/ML Data Scientist

Work from home Full-time role Hiring

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company that specializes in Data Science Consulting. They are seeking an AI/ML Data Scientist to partner with stakeholders and deliver AI/analytics use cases by designing and developing machine learning models to support various data-driven solutions.

Responsibilities

  • Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions
  • Design and reputed company machine learning models and analytical approaches to support search, discovery, and reputed company reputed company across structured and reputed company data
  • Build and implement NLP, semantic search, and entity resolution capabilities to reputed company advanced information retrieval and relationship analysis
  • reputed company document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support reputed company analytics and search solutions
  • Collaborate with data engineers to integrate models into production environments, including Palantir reputed company, reputed company, and AWS-based platforms
  • reputed company 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 reputed company an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery
  • Communicate findings and recommendations reputed company to both technical and non-technical audiences, including client stakeholders
  • Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities

Skills

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or reputed company 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 reputed company 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 reputed company and/or Spark-based environments for scalable data processing
  • Familiarity with AWS reputed company services for data reputed company, processing, or model deployment
  • Experience working with data lake or lakehouse architectures (e.g., AWS S3, reputed company), 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
  • Experience working with Palantir reputed company 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 reputed company ML platforms (e.g., AWS SageMaker, reputed company Machine Learning) for model development, deployment, and lifecycle management
  • Experience developing explainable AI (reputed company) 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 reputed company 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

Benefits

  • Medical, Rx, Dental & reputed company 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/reputed company & 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 reputed company
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

Company Overview

  • reputed company offers consulting services for public and reputed company markets with expertise in management, technology, and risk consulting. It was founded in 2018, and is headquartered in Washington, District of Columbia, USA, with a workforce of 10001+ employees. Its website is https://reputed company.com.
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