Senior Data Scientist — Mission Analytics & ML

VTG Defense; Chantilly (VA); On-site; USD 105,000 - 230,000; Full time

Job summary

VTG Defense in Chantilly, VA is seeking a Data Scientist III to independently perform data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership.

You will analyze large datasets, develop statistical models or machine learning techniques, design dashboards and visualizations, translate questions into analytic outputs, validate data quality, and present findings to both technical and nontechnical stakeholders.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 10+ years of experience in data analytics or data science roles.
• Strong proficiency with Python or R and SQL.
• Experience with statistical analysis, modeling, or machine learning techniques.
• Excellent written and verbal communication skills.

Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and insights.
• Develop and apply statistical models or machine learning techniques as appropriate.
• Design and maintain dashboards, visualizations, and analytic products.
• Translate mission or business questions into analytic approaches and outputs.
• Validate data quality, assumptions, and model results.
• Present findings and recommendations to technical and nontechnical stakeholders.
• Support integration of analytics into operational or decisionsupport workflows.

Skills

Data analytics

Statistics

Machine learning

Communication

Problem solving

Education

Bachelor's degree in Data Science/Statistics/Math/CS

Tools

Python

R

SQL

Job description

VTG Defense in Chantilly, VA is seeking a Data Scientist III to independently perform data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership.

You will analyze large datasets, develop statistical models or machine learning techniques, design dashboards and visualizations, translate questions into analytic outputs, validate data quality, and present findings to both technical and nontechnical stakeholders.