Data Scientist, Cybersecurity Analytics & ML

VTG; Chantilly (VA); Vor Ort; USD 165.000 - 210.000; Vollzeit

Zusammenfassung

VTG in Chantilly, VA seeks Data Scientist Level 2/3 to support cybersecurity analytics and data-driven decision-making. Responsibilities include applying ML, statistical methods, and data visualization to inform warfighter decisions. TS/SCI with Poly preferred; strong communication with customers is expected. Salary range $165k-$210k.

We value teamwork and experience in analytics, cybersecurity, and data management, with opportunities to lead data engineering tasks and dashboard development.

Qualifikationen

• Bachelor's degree or equivalent in a quantitative field and 5+ years of relevant data science experience (Level 2).
• Bachelor's degree or equivalent in a quantitative field and 7+ years of relevant data science experience (Level 3).
• Experience applying data science to cybersecurity solutions and communicating results to stakeholders.

Aufgaben

• Apply data science techniques for cybersecurity solutions.
• Extract, transform, load, analyze, and interpret IA data for timely analytics.
• Create visualizations and dashboards to communicate cybersecurity recommendations.
• Support data engineering and data management tasks and automation.
• Lead analytical approaches toward automation for defense-focused data.

Kenntnisse

Statistical methods

Predictive modeling

Machine learning

Deep learning

Data visualizations

Data management

Cybersecurity

Business analytics

Data engineering

Ausbildung

Bachelor's degree or equivalent

Tools

AWS

Spark

Kafka

Tableau

Python (TensorFlow, PyTorch)

R (tidyverse, RShiny)

Splunk

Jobbeschreibung

VTG in Chantilly, VA seeks Data Scientist Level 2/3 to support cybersecurity analytics and data-driven decision-making. Responsibilities include applying ML, statistical methods, and data visualization to inform warfighter decisions. TS/SCI with Poly preferred; strong communication with customers is expected. Salary range $165k-$210k.

We value teamwork and experience in analytics, cybersecurity, and data management, with opportunities to lead data engineering tasks and dashboard development.