VTG

Defense and intelligence services provider

Data Scientist

Data ScienceConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

An active Top Secret/Sensitive Compartmented Information clearance with polygraph is required.
A bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is required; a PhD is preferred for some roles.
At least 5 years of experience in data science or a related field is required.
Proficiency in programming languages such as Python or R is required.
Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch is required.
A strong foundation in statistics, probability, and data analysis techniques is required.
Experience with SQL and working with large datasets is required.
Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn is required.
Familiarity with cloud platforms such as AWS, Azure, or GCP is required.

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.

Desired Qualifications

A PhD is preferred for some roles.

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)

About the Company

VTG

Defense and intelligence services provider

1) What VTG does: VTG provides defense and intelligence services with a focus on force modernization, digital transformation, aerospace and naval engineering, and cyber capabilities across a unified enterprise. 2) How its products work: It builds end-to-end capabilities by integrating specialized firms and services (engineering, IT, cyber, logistics) through acquisitions to deliver modernization and transformation for defense and intelligence customers. 3) How it differs from competitors: It operates as a single, cohesive organization after consolidating disparate units and growing through targeted acquisitions to expand its expertise in intelligence, cyber, and defense modernization rather than offering fragmented offerings. 4) What its goal is: To expand its footprint in the intelligence community and cyber domain while continuing defense modernization for government customers, supported by strategic growth and acquisitions.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Lenoir, NC
Founded: 1866

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