Data Scientist II: Mission Analytics & ML for Government

VTG Defense; Chantilly (VA); On-site; USD 105,000 - 205,000; Full time

Job summary

VTG Defense in Chantilly, VA is seeking a Data Scientist II to analyze large datasets, develop statistical models, and design dashboards that deliver actionable insights to government and program leadership for mission outcomes.

You will translate questions into analytic approaches, validate data quality, and present findings to both technical and nontechnical stakeholders while supporting integration of analytics into decision‑support workflows.

Qualifications

• 5–9 years of experience in data analytics or data science roles.
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
• Strong proficiency with Python or R and SQL.
• TS/SCI with Poly Required.
• Preferred: IC/DoD/DOJ mission experience; cloud analytics familiarity; Agile environments.

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 analysis

Statistical modeling

Machine learning

Python

R

SQL

Communication

Education

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field

Tools

Python

R

SQL

Job description

VTG Defense in Chantilly, VA is seeking a Data Scientist II to analyze large datasets, develop statistical models, and design dashboards that deliver actionable insights to government and program leadership for mission outcomes.

You will translate questions into analytic approaches, validate data quality, and present findings to both technical and nontechnical stakeholders while supporting integration of analytics into decision‑support workflows.