Geospatial Data Scientist

1h1 hour ago

osapiens

Madrid, ES · Full-time · €45,000 – €70,000

About this role

osapiens is creating a new department focused on geospatial analytics using cutting-edge analytics for satellite data and large-scale machine learning pipelines on distributed systems. The team develops algorithms combining deep learning, custom ML, and statistics for generalization, robustness, and explainability. At the core is a proprietary deforestation detection algorithm monitoring thousands of farms daily.

On a typical day, design and implement geospatial analytics with state-of-the-art deep learning and statistics. Research methods from computer vision and AI to apply to remote sensing. Engineer prototype methods into enterprise-grade production systems and analyze performance from production pipelines.

Translate customer requests and regulatory requirements into algorithmic solutions while shaping the product roadmap with data science and satellite expertise. Projects include using masked autoencoders for generalization, improving change detection in time-series data, and fusing SAR, optical, and LIDAR for near-real-time monitoring. Collaborate in a dynamic, hypothesis-driven environment.

Join a purpose-driven mission tackling complex challenges with global industry pioneers. Enjoy room for creativity through collaborative teamwork, hybrid work flexibility, and inspiring workspaces in Madrid and beyond. Benefit from growth opportunities, sustainable mobility, and fun team events.

Requirements

2+ years of relevant industry experience or a PhD in remote sensing, computer vision, and satellite technology
Advanced technical and quantitative degree in engineering, mathematics, computer science or similar
Advanced programming skills in Python and proficiency with data engineering and deep learning frameworks
Familiarity with GIT and unix-based systems
Familiarity working with remote sensing data (SAR, LIDAR, optical) and developed satellite data analytics use-cases
Proven practical experience in developing quantitative methods and production-level code
Collaborative software development in a dynamic, hypothesis driven environment
Fluent in English, German is a plus

Responsibilities

Design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics
Research cutting-edge methods from Computer Vision and Artificial Intelligence and apply them to remote sensing
Engineer and operationalize prototype-stage methods to full-blown enterprise-grade production systems
Analyze, interpret, and monitor performance from production data analytics pipelines
Translate customer requests and complex regulatory requirements into algorithmic, data-driven solutions
Shape the product and technology roadmap considering experience in data science and satellite technology
Use masked autoencoder techniques to enhance generalization and data efficiency
Improve change detection in time-series image data using supervised and unsupervised Machine Learning methods

Benefits

Purpose-driven mission with global industry pioneers tackling complex challenges
Room for creativity through collaborative teamwork and open communication culture
Flexibility and team bonding with hybrid work options
Fuel for personal and professional growth journey
Sustainable mobility options promoting eco-friendly commuting
Fun team events and outings with global teams
Inspiring workspaces in Munich, Mannheim, Madrid and beyond