Senior Data Scientist – GEOINT for National Security (Onsite)

ECS; Springfield (VA); On-site; USD 155,000 - 180,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

Everforth ECS seeks a Data Scientist to work onsite at the Springfield, VA customer office. You will architect data solutions transforming terabytes of multi-INT data into mission-critical intelligence products, delivering GEOINT advantages for national security operations.

The role emphasizes leading analytics, mentoring junior staff, and deploying machine learning and visualization solutions with production-grade pipelines in a fast-paced defense environment.

Qualifications

• US Citizenship required.
• Active Top Secret clearance with SCI + CI Poly eligibility.
• 5+ years in data science or related field with operational intelligence experience.
• Experience implementing end-to-end data pipelines and analytics for large data sets.
• Experience in geospatial data processing and visualization.

Responsibilities

• Architect end-to-end data science architectures processing multi-INT data streams at scale.
• Lead as SME for advanced analytics, mentoring team members.
• Prototype and deploy cutting-edge analytical methodologies using AI/ML.
• Create complex data visualizations and dashboards for analysts.
• Collaborate with stakeholders to translate intelligence questions into technical requirements.

Skills

Python

Data science

Geospatial analytics

SQL

Dash/Streamlit/Tableau

Plotly/Matplotlib/Seaborn

Git/GitHub/GitLab

ArcGIS/ArcPy

GDAL

COTS/GOTS analysis

Education

Bachelor's degree in Data Science, Math, Statistics, CS or related field

Tools

Plotly

Seaborn

Matplotlib

Bokeh

Dash

Streamlit

Tableau

Git

ArcGIS Pro

GDAL/ArcPy

Job description

Everforth ECS seeks a Data Scientist to work onsite at the Springfield, VA customer office. You will architect data solutions transforming terabytes of multi-INT data into mission-critical intelligence products, delivering GEOINT advantages for national security operations.

The role emphasizes leading analytics, mentoring junior staff, and deploying machine learning and visualization solutions with production-grade pipelines in a fast-paced defense environment.