Geospatial Data Scientist (Terra) (m/w/d)

We are creating a new department focused on geospatial analytics in our offices in Munich. This team is specialized in cutting-edge analytics for satellite data developing large-scale machine learning pipelines run on distributed systems.

Our algorithm combines several methods, from deep learning, to custom ML algorithms, and basic statistics. We carefully engineer our methodology to ensure 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. We are looking for experts in Geospatial Data Science / Remote Sensing Researchers.

Your Responsibilities:

On your typical day, you will:

• 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 a algorithmic, data-driven solution
• Shape the product and technology roadmap considering your experience in data science and satellite technology

Projects you might take over are:

• Use masked autoencoder techniques based to enhance generalization and data efficiency
• Improve change detection in time-series image data using supervised and unsupervised Machine Learning methods
• Fuse multiple satellite modalities such as SAR, optical, and LIDAR in a streamlined data pipeline to enable near-real-time monitoring

Your Experience:

• Advanced Remote Sensing Expertise: Distinguished career in cutting-edge remote sensing technology, with demonstrated success navigating the dynamic tech stack and agile methodologies of innovative startups
• Multi-Sensor Data Mastery: Extensive project experience leveraging diverse data sources including optical imagery, multi-band SAR, and LiDAR for comprehensive environmental analysis
• Exceptional Quantitative Foundation: Intuitive grasp of advanced mathematical concepts including statistical modeling, optimization techniques, linear algebra applications, and algorithmic efficiency
• Production-Grade Development Skills: Proven ability to architect, implement, and maintain robust, scalable code (python) that meets enterprise standards while solving complex analytical challenges
• Specialized Environmental Application Experience: Valuable background in critical sustainability domains such as deforestation monitoring, forest management, carbon sequestration measurement, supply chain emissions analysis, or precision agriculture technologies
• Fluent in English, German is a plus

Join us for this and more...

• A 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 our hybrid work options
• Fuel for your growth journey, both personally and professionally
• Sustainable mobility options, promoting eco-friendly commuting solutions
• Fun team events and outings with our global teams
• Inspiring workspaces in Munich, Mannheim, Madrid and beyond

About osapiens

osapiens develops holistic Software-as-a-Service solutions that enable global companies from a wide range of industries to ensure transparency, efficiency and trust along their entire value chain. The goal of osapiens is to enable sustainability through transparency in the supply chain at the product level and at the supplier level. With its cloud technology platform, the 'osapiens HUB', osapiens uses innovative technologies such as artificial intelligence to not only strengthen companies economically, but also to make human rights and ecologically sustainable and responsible corporate governance the global standard.

osapiens currently works with around 1,700 companies from more than 50 countries around the world in sectors including consumer goods, wholesale and retail, automotive and engineering, fashion and luxury, and pharmaceutical and medical products. The fast-growing company was founded in 2018 and currently employs nearly 300 people from more than 35 nations at its headquarters in Mannheim, Germany.