Data Scientist
Core
Develop and maintain machine learning markers to extract insights from dense temporal stacks of satellite imagery for agriculture, land management, and climate monitoring.
Role type
Senior IC data scientist (remote sensing & AI)
Builds
Area Monitoring System (AMS) for EU Common Agricultural Policy paying agencies and land-cover change detection tools
Domain
Earth observation, satellite imagery, agriculture, climate
Deliverable
production ML models
Required skills
machine learning principles, model validation, Python programming, version control (Git), geospatial domain knowledge, project delivery management
Preferred skills
embeddings and learned representations, remote sensing expertise, radar data processing (Sentinel-1), agricultural domain knowledge, EU Common Agricultural Policy familiarity, cloud environments, distributed computing
Technologies
Python, Git, AI agents, cloud platforms
Responsibilities
Develop algorithms and ML models for satellite imagery time series; take research topics from exploration to production; own marker results for production AMS deliveries; explore embeddings-based insight extraction; use AI agents in daily work; co-own the markers codebase; collaborate on platform solutions; document work for transparency and repeatability
Seniority
Senior, hands-on IC