Data Scientist
VTG LLC
Herndon, VA, United States
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+6 more
Tableau (Software)
Pytorch
Matplotlib
Scikit Learn
Information Technology
Data Analytics
Job 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
Requirements
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)
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