TS/SCI Data Scientist: National Security Analytics

NS2 Mission; Manassas (VA); On-site; USD 156,000 - 226,000; Full time

Job summary

NS2 Mission is seeking an experienced Data Scientist to support a government program in the Northern VA area. You will apply advanced analytics, data science methodologies, and emerging technologies to solve complex national security challenges and drive informed decision-making across the Intelligence Community.

In this role, you will develop data-driven solutions, build computational models, and create visualizations that communicate findings to technical and non-technical audiences.

Qualifications

• Senior or Expert-level data science experience with national security relevance.
• 5+ years (Senior) or 10+ years (Expert) in relevant roles and projects.
• Strong Python, SQL, and data analysis toolset applied to complex datasets.
• Experience with visualization and enterprise data platforms.

Responsibilities

• Analyze large, diverse datasets to identify trends and insights for mission objectives.
• Design data science solutions using ML, AI, and predictive analytics techniques.
• Build computational models for situational awareness and analytics.
• Develop dashboards and visualizations communicating findings to diverse audiences.
• Collaborate with analysts, engineers, and stakeholders to meet requirements.
• Develop Python-based tools supporting enterprise mission needs.
• Contribute to research, documentation, and continuous improvement efforts.

Skills

Python

SQL

R

Hadoop

Spark

Java

Git

Bash

Tableau

ArcGIS

Unix/Linux

Data Visualization

Education

Master's degree in Data Science

Tools

Tableau

Hadoop

Spark

Job description

NS2 Mission is seeking an experienced Data Scientist to support a government program in the Northern VA area. You will apply advanced analytics, data science methodologies, and emerging technologies to solve complex national security challenges and drive informed decision-making across the Intelligence Community.

In this role, you will develop data-driven solutions, build computational models, and create visualizations that communicate findings to technical and non-technical audiences.