Job Overview

This role sits at the intersection of geospatial research, data science, and engineering for candidates who seek continuous learning in a startup environment. Success in this role means delivering reliable geospatial analytics that move from research to production/prototyping, and are actively used by future customers.

Responsibilities

・Develop innovative technologies for R&D projects leveraging geospatial and satellite data using Python
・Translate research concepts into prototype-ready systems using modern frameworks
・Design, develop, and validate geospatial models and analytical algorithms (e.g. change detection, classification, forecasting), and validate spatial analytics techniques
・Design and implement early data processing pipelines (ingestion → analytics → storage) when required
・Conduct extensive research on scientific methodologies, ground-truth information, datasets, and emerging algorithms relevant to assigned projects
・Take ownership of project deliverables under the guidance of the direct manager
・Prepare and deliver high-quality presentations, technical reports, and actionable recommendations to management and stakeholders
・Collaborate with cross-functional teams to evaluate technical feasibility, improve analytical workflows, and support innovation initiatives when required