Geospatial Data Scientist - Python, AWS & LiDAR

United States Digital Space LLC; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

United States Digital Space LLC is seeking a data/software engineer to develop and maintain Python-based geospatial and scientific-processing workflows, process LiDAR, elevation, and multispectral imagery, and support computer-vision and ML feature detection.

You will automate risk scoring, QA/QC checks, metadata generation, and monthly data deliveries; build geospatial datasets in AWS; document code, methods, data lineage, and results. Must reside in the United States and align with PST.

Qualifications

• Bachelor’s degree in computer science, data science, GIS, engineering, or related field.
• Experience with Python and geospatial or remote-sensing data.
• Familiarity with GIS tools, spatial databases, cloud computing, and scientific data pipelines.
• Strong analytical, troubleshooting, documentation, and quality-control skills.

Responsibilities

• Develop and maintain Python-based geospatial and scientific-processing workflows.
• Process LiDAR, elevation, and multispectral imagery.
• Support computer-vision and machine-learning feature detection.
• Automate risk scoring, QA/QC checks, metadata generation, and monthly data deliveries.
• Build and maintain geospatial datasets in an AWS environment.
• Document code, methods, data lineage, and processing results.

Skills

Python

Geospatial data

Remote-sensing data

GIS tools

Cloud computing

Data pipelines

Documentation

QA/QC

Education

Bachelor’s degree in related field

Tools

AWS

ArcGIS

Job description

United States Digital Space LLC is seeking a data/software engineer to develop and maintain Python-based geospatial and scientific-processing workflows, process LiDAR, elevation, and multispectral imagery, and support computer-vision and ML feature detection.

You will automate risk scoring, QA/QC checks, metadata generation, and monthly data deliveries; build geospatial datasets in AWS; document code, methods, data lineage, and results. Must reside in the United States and align with PST.