System One
Data Scientist
McLean, Virginia, USA · Contract
No sponsorshipDetected 26 days ago
PythonSQLDatabricksAWSMachine LearningTensorFlowPyTorchscikit-learnPandasSparkData ScienceNLPStatisticsA/B TestingAgileLeadershipCommunication
About the role
- 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.
- Experience working with Databricks and/or Spark-based environments for scalable data processing.
Responsibilities
- 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.
- Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities.
- 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.
- Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
Requirements
- Must be eligible to obtain a
- Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: RESPONSIBILITIES Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
- REQUIREMENTS Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
- U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
Benefits
- Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
- A minimum of 4 years of experience in data science, machine learning, or applied analytics roles.
Equal opportunity
- System One is an Equal Opportunity Employer.
Visa & Work Authorization
- Citizenship required and ability to obtain and maintain a Public Trust clearance
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This listing is sourced directly from System One's careers page and normalized into a canonical job model.