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# Data Scientist

- **Company:** HCSS
- **Location:** Merrifield, VA, United States
- **Experience:** Experienced
- **Salary:** $140,000 - $153,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Big Data, Continuous Delivery, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), Machine Learning, Natural Language Processing, Named Entity Recognition, Office Suite, Scrum Methodology, SQL Databases, Unstructured Data, Enterprise Data Management, Delivery Pipeline, Model Validation
- **Published:** November 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9285693/data-scientist

## About the Role

* 3+ 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, * Must be able to remain in a stationary position 75% of the time.
 * Occasionally moves about inside the office to access file cabinets, office machinery, etc.
 * Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
 * Expresses or exchanges ideas by means of the spoken word. Those activities in which they must convey detailed or important spoken instructions to other workers accurately, loudly or quickly.
 * Frequently moves standard office equipment up to 25 pounds.
 * Must be able to work indoor conditions 90% of the time.

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Position Type/Expected Hours of Work

Work will take place at the DEA facilities in Arlington, VA and Merrifield, VA. This is a full-time position with flexible hours based on mission requirements., 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 position supports an active federal contract. Any offer of employment is contingent upon Government approval of the candidate and successful completion of the DEA security clearance process., * 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.
 * Conduct model validation for accuracy, stability, and bias detection.
 * Establish model monitoring and retraining to detect performance drift.
 * Package and deploy validated models, including the required APIs and automation pipelines.
 * Design and implement ETL processes to prepare source data for model training.
 * Document model assumptions, data inputs, training parameters, and validation results.