Geospatial Data Scientist

1h1 hour ago

osapiens

Munich, DE · Full-time · €80,000 – €110,000

About this role

We are creating a new department focused on geospatial analytics in our offices in Munich. This team specializes in cutting-edge analytics for satellite data, developing large-scale machine learning pipelines run on distributed systems. Our algorithm combines deep learning, custom ML algorithms, and basic statistics, carefully engineered for generalization across geographies, robustness, and explainability.

At the core of our product is the proprietary deforestation detection algorithm which monitors thousands of farms every day. On a typical day, you will design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics. You will research cutting-edge methods from Computer Vision and Artificial Intelligence and apply them to remote sensing.

You will 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 while shaping the product and technology roadmap.

Join a purpose-driven mission with global industry pioneers tackling complex challenges. Enjoy room for creativity through collaborative teamwork and an open communication culture. Benefit from flexibility and team bonding with hybrid work options in inspiring workspaces across Munich, Mannheim, Madrid and beyond.

Fuel your growth journey both personally and professionally. Participate in fun team events and outings with global teams. Access sustainable mobility options promoting eco-friendly commuting solutions.

Requirements

Advanced Remote Sensing Expertise with demonstrated success navigating the dynamic tech stack and agile methodologies of innovative startups
Multi-Sensor Data Mastery with extensive project experience leveraging diverse data sources including optical imagery, multi-band SAR, and LiDAR
Exceptional Quantitative Foundation with intuitive grasp of advanced mathematical concepts including statistical modeling, optimization techniques, linear algebra applications, and algorithmic efficiency
Production-Grade Development Skills to architect, implement, and maintain robust, scalable code (Python)
Specialized Environmental Application Experience in sustainability domains such as deforestation monitoring, forest management, carbon sequestration measurement, 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 and for global industry pioneers tackling complex challenges
Room for creativity through collaborative teamwork and an open communication culture
Flexibility and team bonding with hybrid work options
Fuel for growth journey, both personally and professionally
Sustainable mobility options, promoting eco-friendly commuting solutions
Fun team events and outings with global teams
Inspiring workspaces in Munich, Mannheim, Madrid and beyond