Planet

Overview

We are looking for a Data Scientist to join our team in developing high-quality, validated markers that extract insights from dense temporal stacks of satellite imagery across agriculture, land management, and climate.

About Planet

Planet designs, builds, and operates the largest constellation of imaging satellites in history, delivering an unprecedented dataset of empirical information via a cloud-based platform to commercial, environmental, and humanitarian sectors.

Requirements & Eligibility

• 4+ years of relevant work experience.
• Bachelor's degree or higher in computer science, data science, or another STEM field.
• Understanding of machine learning principles, including model validation and performance evaluation techniques.
• Proficiency in Python programming, with the ability to write maintainable, well-documented code.
• Experience working with AI agents and modern machine learning tools.
• Experience with version control and Git, and comfort working in a shared codebase.
• Working knowledge of the geospatial domain.
• Ability to deliver projects on schedule and manage technical deliverables.

Key Responsibilities

• Develop algorithms and machine learning models that extract insights from satellite imagery time series, and maintain and improve the markers we already run.
• Take a research topic from exploration through to production.
• Own marker results for production AMS deliveries across several EU countries — run them, review them, and confirm quality before they reach the client.
• Explore and build embeddings-based insight extraction in new areas beyond CAP.
• Use AI agents in your daily work, and help the team get better at it.
• Co-own the markers codebase together with the rest of the team.
• Collaborate with the team to iteratively build solutions on our platform and existing data building blocks, and inspire and enable our partners to extract insights using them.
• Document and organize your work to be transparent and repeatable.