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# Data Scientist

- **Company:** All Native Group
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Big Data, Continuous Delivery, Data Visualization, Python (Programming Language), Machine Learning, Natural Language Processing, Named Entity Recognition, Scrum Methodology, SQL Databases, Unstructured Data, Enterprise Data Management
- **Published:** July 28, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9059989/data-scientist

## About the Role

* 5+ years of in-depth experience with at least one analytical or statistical language (for example, Python, R, or SQL).
 * 2+ years of custom Machine Learning and AI model training, to include supervised and unsupervised methods, and Natural Language Processing (NLP) expertise focused on unstructured data.
 * 3+ years of experience with SQL database and coding.
 * 2+ years of experience with data visualization tools.
 * 2+ years of experience with the ability to manipulate unstructured data.
 * Experience working in a fast-paced Agile development environment.
 * Experience supporting federal law enforcement or mission-focused data programs is a plus, Bachelor's degree in data science or a related quantitative field. Experience can be considered in lieu of education

## Description

All Native Group, a division of Ho Chunk Incorporated, is seeking a Data Scientist to support a Federal Agency enterprise data management and analytics program. Working within the Analytic team, the Data Scientist develops and refines machine learning and AI models, performs entity extraction and enrichment across large and complex datasets, and applies natural language processing techniques to unstructured data to advance the customer's mission objectives. This is for proposed work, and any offer of employment will be contingent upon award., * Develop, train, and evaluate custom machine learning and AI models, including both supervised and unsupervised approaches.

 * Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data.
 * Improve and expand existing entity extraction processes, incorporating new entities and models to improve analytic outcomes.
 * Evaluate enterprise data holdings and develop models and techniques that enrich data toward mission advantage.
 * Manipulate, cleanse, and prepare structured and unstructured data for model development and analysis.
 * Build data visualizations that communicate analytic findings to technical and non-technical stakeholders.
 * Collaborate within an Agile delivery team, participating in sprint planning, reviews, and continuous delivery.


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