About the Company
System One is a staffing and workforce solutions provider that connects organizations with specialized talent across technical and professional disciplines. For this opportunity, System One is seeking an AI Data Scientist to support the development and delivery of artificial intelligence, machine learning, and analytics solutions for a client based in McLean, Virginia.
About the Role
System One is seeking an AI Data Scientist to define and deliver AI and analytics use cases focused on machine learning, natural language processing (NLP), semantic search, and information discovery. This remote role involves developing models that work across structured and unstructured data, extracting insights from document-based information, and integrating AI solutions into production environments.
You will collaborate with business stakeholders, data engineers, and cross-functional teams to translate business requirements into scalable technical solutions. The role also includes developing model evaluation frameworks, improving transparency through confidence scoring and explainability, and supporting analytics and reporting capabilities. The ideal candidate brings strong technical expertise, analytical thinking, and the ability to communicate findings clearly to both technical and non-technical audiences.
Key Responsibilities
Partner with stakeholders to define and deliver AI and analytics use cases, translating business requirements into scalable data science solutions.
Design, develop, and evaluate machine learning models and analytical methods for search, discovery, information retrieval, and insight generation.
Build NLP, semantic search, entity resolution, and relationship modeling capabilities to improve information retrieval and analytical outcomes.
Analyze document-based data, including OCR/ICR outputs, metadata, free text, PDFs, and images, to extract useful information for downstream analytics and search applications.
Collaborate with data engineers to integrate machine learning models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
Develop model evaluation frameworks, confidence scoring methods, and explainability approaches to improve transparency, traceability, and usability.
Support the development of analytics, reporting solutions, and dashboards that help users understand operational performance and make informed decisions.
Participate in Agile delivery activities, including sprint planning, experimentation, and iterative solution development.
Present findings, analytical results, and recommendations to technical teams, business stakeholders, and clients.
Contribute to solution design, proposal development, and thought leadership in AI and analytics.
Support the development and deployment of AI-enabled search, document intelligence, and relationship analysis capabilities.
Required Qualifications
Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
At least 4 years of experience in data science, machine learning, or applied analytics.
U.S. citizenship and the ability to obtain and maintain a Public Trust clearance.
Experience developing and applying machine learning models, including NLP, semantic search or information retrieval, and entity resolution or relationship modeling.
Experience working with large-scale structured and unstructured datasets, including documents, text, PDFs, and images.
Experience using metadata and extracted features for analytics and model development.
Strong Python programming skills for data science and machine learning, including tools such as Pandas, Scikit-learn, PyTorch, or TensorFlow.
Solid SQL skills and experience with Databricks and/or Spark-based environments for scalable data processing.
Familiarity with AWS cloud services for data access, processing, and model deployment.
Experience with data lake or lakehouse architectures, such as AWS S3 and Databricks, including querying and transforming large datasets.
Experience integrating models into production environments through APIs, batch pipelines, or similar deployment approaches.
Understanding of model evaluation, validation, and performance metrics.
Strong communication skills and the ability to translate analytical findings into actionable recommendations.
Experience working with cross-functional, matrixed teams in an Agile environment.
Preferred Qualifications
Experience with Palantir Foundry or Palantir AIP, particularly for AI-enabled search and analytics workflows.
Consulting experience, especially in client-facing delivery roles.
Experience developing AI-powered search solutions, including semantic search, document retrieval, and ranking models.
Familiarity with multimodal data processing involving text and image-based analytics.
Experience with OCR/ICR pipelines and document intelligence applications.
Experience using enterprise machine learning platforms such as AWS SageMaker or Databricks Machine Learning for model development, deployment, and lifecycle management.
Knowledge of explainable AI (XAI), including confidence scoring and traceability.
Experience developing analytics dashboards and reporting solutions for end users.
Previous experience supporting federal clients or working in regulated environments.
Experience supporting training, user enablement, or the adoption of analytics capabilities across teams.
Familiarity with graph-based analytics, ontology-driven models, and relationship mapping.
Technology Stack
Programming and Data Science: Python, Pandas, Scikit-learn, PyTorch, TensorFlow, SQL.
Data Processing: Databricks, Apache Spark.
Cloud and Data Platforms: AWS cloud services, AWS S3, Palantir Foundry.
AI and Analytics: Machine learning, NLP, semantic search, entity resolution, model evaluation, explainable AI, document intelligence, and analytics dashboards.
Location and Work Arrangement
Location: McLean, Virginia.
Work Arrangement: Remote.
Salary & Benefits
Health and welfare benefits coverage options, including medical, dental, and vision insurance.
Spending accounts.
Life insurance.
Voluntary insurance plans.
401(k) plan participation.