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# Data Scientist

- **Company:** Avalore, LLC
- **Location:** Arlington, VA, United States
- **Salary:** $89,000.0 - $202,000.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Computer Terminals, Data Governance, Data Visualization, Desktop Computing, Machine Learning, Microsoft Office, Performance Tuning, Software Deployment, Feature Engineering, Model Validation, Data Analytics, Data Pipelines
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-arlington-va--5654399e-12f6-4f9f-bfe0-ea167d600ca7

## About the Role

Data Science, Testing, Analysis Skills, Benchmarking, Mentoring, Scientific Method, Training Data Sets, Performance Modeling, Machine Learning, Data Visualization, * SECRET Security Clearance Required

 * CCSP,CFR,FITSP-M,GSEC,Security+, or SSCP certification (for Junior/Journeyman roles)
 * SecurityX/CASP+,GCSA,GSLC, or CISSP (for Senior roles)
 * We are actively seeking multiple levels:
*

 + Junior: 0 - 3 years of experience + Bachelor's Degree
 + Journeyman: 4 - 7 years of experience + Bachelor's Degree
 + Senior: 8+ years of experience + Bachelor's Degree
 * Good communication skills, self-starter mindset.
 * Professional proficiency in English is required.
 * Demonstrated proficiency in using all Microsoft Office applications.
 * Applicants must be currently authorized to work in the United States on a full-time basis. Avalore will not sponsor applicants for work visas for this position.

Work Environment:

 * Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment).

 * Ability to sit at a computer terminal for an extended period of time.

## Description

The Data Scientist will develop AI/ML models through training, fine-tuning, feature engineering, benchmarking, and deployment preparation. This person will apply scientific methodology to extract insights and create predictive capabilities from data. This person will analyze complex datasets to identify patterns and relationships, select and implement appropriate machine learning algorithms for specific problems, and develop feature engineering approaches to improve model performance. This person will design and execute model validation and testing procedures, tune hyperparameters to optimize model performance, and prepare models for production deployment. This person will create data visualizations to communicate findings and model results, collaborate with subject matter experts to incorporate domain knowledge, and document methodologies and results. This person will stay current with advances in data science techniques, evaluate new algorithms and approaches for potential adoption, and
mentor junior data scientists. This person will ensure models meet requirements for accuracy, performance, and explainability, collaborate with AI/ML engineers for model deployment, and participate in data governance activities. This person will develop and implement data science workflows and methodologies, contribute to research initiatives, and support business stakeholders in interpreting model outputs.