About this opportunity
VTG Defense lists this Data Scientist opportunity in herndon, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Overview
We are 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.
What will you do?
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
Do you have what it takes?
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)
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Worksite address
herndon, VA, 22070, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.