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# Data Scientist

- **Company:** VTG LLC
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Visualization, Python (Programming Language), Machine Learning, Power BI, Tensorflow, SQL Databases, Tableau (Software), Pytorch, Matplotlib, Scikit Learn, Information Technology, Data Analytics
- **Published:** October 2, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8852927/data-scientist

## About the Role

VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights., * Active TS/SCI with Polygraph required.

 * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
 * 5+ years of experience in data science or a related field
 * Strong proficiency in programming languages such as Python or R
 * Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
 * Strong foundation in statistics, probability, and data analysis techniques
 * Experience with SQL and working with large datasets
 * Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
 * Familiarity with cloud platforms (AWS, Azure, or GCP)

## Description

* Analyze large, complex datasets to identify trends, patterns, and actionable insights
 * Develop, train, and validate machine learning and statistical models
 * Design and implement experiments, including A/B testing and predictive analytics
 * Collaborate with data engineers and analysts to ensure data quality and accessibility
 * Communicate findings and recommendations to technical and non-technical stakeholders
 * Build data visualizations and dashboards to present insights effectively
 * Deploy and monitor machine learning models in production environments
 * Continuously improve model performance and accuracy
 * Stay current with emerging data science techniques, tools, and technologies