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Data Scientist Security Clearance

Job in Chantilly, Fairfax County, Virginia, 20151, USA
Listing for: VTG
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Position: Data Scientist with Security Clearance
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, Tensor Flow, 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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