Senior 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 national security challenges and enhance situational awareness.

You will collaborate with analysts, engineers, and mission partners to develop data-driven solutions, build Python-based tools, and communicate findings through dashboards and reports.

Qualifications

• Senior or Expert-level experience in Data Science or a related technical discipline.
• 5+ years (Senior) or 10+ years (Expert) of relevant professional experience.
• Experience supporting Intelligence Community missions and applying analytical methodologies.
• Strong knowledge of relationship discovery, situational awareness, modeling, or BI.
• Proficiency in Python with familiarity of SQL, R, Hadoop, Spark, Java, C/C++, Git, Bash, Tableau, ArcGIS, Unix/Linux.

Responsibilities

• Analyze large, diverse datasets to identify trends and actionable insights for mission objectives.
• Design and develop data science solutions using statistical analysis, ML, AI, and predictive analytics.
• Build computational models to improve situational awareness and systems modeling.
• Develop visualizations, dashboards, and graphics to communicate findings to technical and non-technical audiences.
• Collaborate with analysts, engineers, and stakeholders to deliver analytical solutions.

Skills

Data Science

Analytics

Mathematics

Tools

SQL

R

Hadoop

Spark

Java

C/C++

Git

Bash

Tableau

Unix/Linux

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 national security challenges and enhance situational awareness.

You will collaborate with analysts, engineers, and mission partners to develop data-driven solutions, build Python-based tools, and communicate findings through dashboards and reports.