Geospatial Data Scientist

2h2 hours ago

osapiens

Munich, DE · Full-time · €85,000 – €120,000

About this role

We are creating a new department focused on geospatial analytics using cutting-edge analytics for satellite data and developing large-scale machine learning pipelines on distributed systems. Our algorithm combines deep learning, custom ML algorithms, and basic statistics, engineered for generalization across geographies, robustness, and explainability. At the core is a proprietary deforestation detection algorithm monitoring thousands of farms daily.

On a typical day, you will design and implement geospatial analytics with state-of-the-art deep learning and statistics, research methods from Computer Vision and AI for remote sensing, and engineer prototypes into enterprise-grade production systems. You will analyze performance from production pipelines, translate customer requests into data-driven solutions, and shape the product roadmap with your data science and satellite expertise.

Join a specialized team of experts in Geospatial Data Science and Remote Sensing Researchers in our Munich offices. The environment fosters collaborative teamwork, open communication, and hybrid work options for flexibility and team bonding.

Embrace a purpose-driven mission tackling complex challenges with global industry pioneers. Benefit from fuel for personal and professional growth, sustainable mobility, fun team events, and inspiring workspaces across Munich, Mannheim, Madrid, and beyond.

Requirements

Advanced Remote Sensing Expertise with demonstrated success in cutting-edge remote sensing technology and agile methodologies of innovative startups
Multi-Sensor Data Mastery with extensive project experience leveraging optical imagery, multi-band SAR, and LiDAR for environmental analysis
Exceptional Quantitative Foundation with grasp of statistical modeling, optimization techniques, linear algebra applications, and algorithmic efficiency
Production-Grade Development Skills to architect, implement, and maintain robust, scalable Python code meeting enterprise standards
Specialized Environmental Application Experience in deforestation monitoring, forest management, carbon sequestration, supply chain emissions analysis, or precision agriculture
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