Geospatial Data Scientist & Analytics Lead (TS/SCI)

GRVTY; Marine Corps Base Camp Lejeune (NC); Presencial; USD 120.000 - 155.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health plan

401k match

Paid time off

Parental leave

Descripción de la vacante

GRVTY is seeking a Geospatial Data Manager - Data Scientist to design and deploy Python-based analytics pipelines that integrate data from multiple sources, including web APIs and enterprise repositories. You will create dashboards and interfaces to improve analytic rigor, transparency, and reproducibility, while modernization efforts target reliability and scalability in high-consequence environments.

The role requires senior Python expertise, strong geospatial processing skills (GDAL/ArcPy,

Formación

• Active TS/SCI Clearance with CI Poly; 10+ years experience.
• Senior-level Python proficiency; mission-ready solutions.
• Experience querying/integrating web APIs via Python.
• Develop interactive visualizations (Plotly, Seaborn, Matplotlib, Bokeh).
• Dash/Streamlit/Panel/Tableau dashboards or similar platforms.

Responsabilidades

• Develop and operationalize advanced analytic solutions.
• Design and deploy Python-based analytics pipelines from multiple sources.
• Create interactive dashboards and analytic interfaces for rigor, transparency, and reproducibility.
• Modernize legacy workflows for reliability, scalability, and maintainability in high-consequence environments.

Conocimientos

TS/SCI Clearance

Python

Web APIs

Data viz

Dash/Plotly

SQL

Git

Geospatial GDAL/ArcPy

ArcGIS/QGIS

Technical writing

Independent work

US SOCOM familiarity

IC data repositories

Descripción del empleo

GRVTY is seeking a Geospatial Data Manager - Data Scientist to design and deploy Python-based analytics pipelines that integrate data from multiple sources, including web APIs and enterprise repositories. You will create dashboards and interfaces to improve analytic rigor, transparency, and reproducibility, while modernization efforts target reliability and scalability in high-consequence environments.

The role requires senior Python expertise, strong geospatial processing skills (GDAL/ArcPy,