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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Planet - **Location:** Graz, Austria (Remote available) - **Experience:** Experienced - **Salary:** €54,100.0 - €67,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Programming, Distributed Systems, Machine Learning, Azure Machine Learning, Cloud Platform System, Model Validation, Agentic-AI, Git, Information Technology, Production Code, Software Version Control - **Published:** October 1, 2026 - **Apply:** https://www.adzuna.at/details/5904009857 ## About the Role * 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. * Problem-solving skills in technical or analytical domains. * Professional working proficiency in English, the language of the company. What Makes You Stand Out: * Experience working with embeddings or other learned representations of imagery. * Remote sensing expertise, particularly with satellite time series. * Experience processing radar data (for example Sentinel-1). * Familiarity with the agricultural domain, or with the EU Common Agricultural Policy and area-based payment schemes. * Experience with cloud environments and distributed computing. ## Description 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. The markers you build form the core of our Area Monitoring System (AMS) delivered to Common Agricultural Policy paying agencies across Europe, owned end-to-end from method to production code. You will collaborate closely with scientists and engineers to deploy models at scale, while expanding beyond compliance into land-cover change detection using embeddings and AI-first workflows. Ideal candidates are adaptable, curious about AI agents, and eager to iterate directly based on customer feedback. As a member of this team, you will have the opportunity to work with multi-sensor Earth observation data to solve complex environmental and agricultural challenges. This is a full-time, hybrid role which will require you to work from our Graz, Ljubljana or Haarlem office 3 days per week. Impact You'll Own: * 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. * Write internal research reports, public blog posts, and reports for clients. ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Designing the Future of Human<>Agent Collaboration](https://www.wearedevelopers.com/videos/1447-designing-the-future-of-human-agent-collaboration) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Dirty Tests And How To Clean Them](https://www.wearedevelopers.com/videos/515-dirty-tests-and-how-to-clean-them) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Jobs in Tech: The State of the European Market](https://www.wearedevelopers.com/magazine/575-jobs-in-tech-the-state-of-the-european-market) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)