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Skills
A/B Testingunmatched
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Continuous Improvementunmatched
Data Analysisunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Setsunmatched
Data Visualizationunmatched
Data Visualization Toolsunmatched
Experiment Designunmatched
GCP (Good Clinical Practices)unmatched
Machine Learningunmatched
Mathematicsunmatched
Microsoft Windows Azureunmatched
Performance Managementunmatched
Performance Modelingunmatched
Power BIunmatched
Predictive Modelingunmatched
Production Systemsunmatched
Programming Languagesunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
Reporting Dashboardsunmatched
SQL (Structured Query Language)unmatched
Sensitive Compartmented Information (SCI)unmatched
Statistical Modelingunmatched
Statisticsunmatched
Tableauunmatched
Top Secret Clearanceunmatched
Trend Analysisunmatched
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.
Responsibilities:
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
Qualifications:
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)