Data Scientist (Satellite Imagery)

Location: Ljubljana, Slovenia; hybrid schedule with 3 days per week in the Ljubljana office

Salary: €45,600–€57,000 gross per year

Company

hirify.global designs, builds, and operates a large constellation of imaging satellites and delivers satellite data through a cloud-based platform for commercial, environmental, and humanitarian applications.

What you will do

• Develop and maintain machine learning models and validated markers that extract insights from satellite imagery time series.
• Take research topics from initial exploration through production implementation.
• Own marker results for Area Monitoring System deliveries across several EU countries, including execution, review, and quality confirmation.
• Explore embeddings-based insight extraction and land-cover change detection beyond agricultural compliance use cases.
• Use AI agents and collaborate with scientists, engineers, and partners to build scalable solutions on the platform.
• Maintain the shared markers codebase and document research, methods, and deliverables.

Requirements

• 4+ years of relevant work experience.
• Bachelor’s degree or higher in computer science, data science, or another STEM field.
• Knowledge of machine learning principles, model validation, and performance evaluation.
• Proficiency in Python and experience writing maintainable, well-documented code.
• Experience with AI agents, modern machine learning tools, version control, and Git.
• Working knowledge of geospatial data and professional working proficiency in English.

Nice to have

• Experience with embeddings or other learned representations of imagery.
• Remote sensing experience, especially with satellite time series.
• Experience processing radar data such as Sentinel-1.
• Knowledge of agriculture, the EU Common Agricultural Policy, or area-based payment schemes.
• Experience with cloud environments and distributed computing.

Culture & Benefits

• Paid vacation, holidays, and company-wide days off.
• Employee wellness program and paid volunteering time off.
• Home office, phone, and internet reimbursement.
• Tuition reimbursement and access to LinkedIn Learning.
• Potential eligibility for equity, bonuses, or commission depending on the role and applicable policy.

Hiring process

• Applications are accepted until December 13, 2026 at 23:59 CET.
• Selected interviews may be recorded with candidate consent using an AI notetaker; opting out does not affect candidacy.
• AI tools are prohibited during live interviews and assessments unless explicitly permitted.