Geospatial Data Scientist & Analytics Lead (TS/SCI)

GRVTY

Marine Corps Base Camp Lejeune (NC)

On-site

USD 120,000 - 155,000

Full time

3 days ago
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Benefits offered by this job

Health plan
401k match
Paid time off
Parental leave

Job summary

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,

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

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

Job description

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,

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