AI-Driven Satellite Data Scientist for Earth's Insights

Telemetry Today LLC; Graz; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Planet is seeking a Data Scientist to develop high-quality markers from dense satellite imagery time series across agriculture, land management, and climate. You’ll own end-to-end from method to production, collaborating with scientists and engineers to deploy models at scale and push insights beyond traditional CAP workflows.

The role combines research and production work in a hybrid setup with Graz, Ljubljana or Haarlem offices three days per week, focusing on AI-first workflows and

Qualifikationen

• 4+ years of relevant work experience.
• Bachelor's degree in Computer Science, Data Science, or a STEM field.
• Understanding of ML principles, validation, and performance evaluation.
• Proficiency in Python and writing maintainable, well-documented code.
• Experience with AI agents and modern ML tools.
• Experience with version control and shared codebases (Git).
• Working knowledge of the geospatial domain.
• Ability to deliver projects on schedule and manage deliverables.
• Excellent problem-solving skills.
• Professional working proficiency in English.

Aufgaben

• Develop algorithms and ML models that extract insights from satellite imagery time series.
• Take research topics from exploration through to production.
• Own marker results for production AMS deliveries across several EU countries.
• Explore and build embeddings-based insight extraction beyond CAP.
• Use AI agents in daily work and improve team capability.
• Co-own the markers codebase with the team.
• Collaborate to build solutions on our platform and data blocks.
• Document and organize work for transparency and repeatability.
• Write internal reports, public blogs, and client reports.

Kenntnisse

Python

Machine learning

Git

English proficiency

Problem solving

Ausbildung

Bachelor's degree in Computer Science or Data Science

Tools

Git

Cloud environments

Geospatial data tools

Jobbeschreibung

Planet is seeking a Data Scientist to develop high-quality markers from dense satellite imagery time series across agriculture, land management, and climate. You’ll own end-to-end from method to production, collaborating with scientists and engineers to deploy models at scale and push insights beyond traditional CAP workflows.

The role combines research and production work in a hybrid setup with Graz, Ljubljana or Haarlem offices three days per week, focusing on AI-first workflows and