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Data Scientist with Security Clearance

VTGChantilly, VA🇺🇸United StatesPosted Oct 6, 2026

Why This Role Stands Out

This hybrid role offers a competitive salary and significant career growth within a reputable technology company, allowing you to leverage your advanced data analysis and modeling skills to directly impact critical mission outcomes. You'll thrive here if you are a mid-to-senior level Data Scientist with security clearance, eager to develop your expertise and contribute valuable insights in a collaborative environment. Apply today to explore this exciting opportunity!

Quick Overview

Salary
$165k - $210k/yr
Seniority
Mid Senior
Work mode
Hybrid
Location
Chantilly, VA, United States
Posted
Yesterday
GCPSQLAWSMachine LearningScikit-learnTableauAzurePower BIPyTorchPythonTensorFlow

Job Description

Overview 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. 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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