As a data scientist/geoscientist at Stenon, you would be part of a young, international, and highly motivated team of data scientists and data engineers.
Tasks
- Work on research and development of algorithms and pipelines to train, evaluate, select and deploy machine learning models
- Support development of new products from data collection and design of first experiments to the final release to customers
- Generate and provide analyses of geo-spatial data for customer support and management
- Present results to stakeholders
- Participate in international field campaigns (on a voluntary basis)
Requirements
- Completed Masters degree in Geoinformatics, Environmental Sciences or related field
- Advanced skills in statistical analysis and machine learning with python or R
- Proficiency in working with geo-spatial data including experience with GDAL and other open-source GIS tools
- Proficiency in visualizing and presenting complex issues and solutions
- Excellent communication skills for working in cross-functional teams; fluent in English
- You are a self-driven and goal-oriented personality, you enjoy teamwork and value constructive feedback.
- You like to discover new frameworks and techniques and are always looking for an opportunity to extend your skills.
Nice-to-have:- Knowledge of software engineering best practices and experience with code reviews
- Experience in model building and deployment with services on cloud platforms
Benefits
- A role within a highly productive and supportive team full of dedicated, hard-working professionals
- An agile work environment with flat hierarchies and an international team
- inclusive company culture and team events
- The opportunity of being a valuable contributor to the success of our mission
- Permanent full-time position
- Working remotely, three days per week guaranteed
- Laptop of your choice
- Coffee and tea in our office
- ABC Berlin/Potsdam Travel pass
We are on a mission to make soil data accessible in real-time, thus changing how farmers can cultivate their land. To achieve this, we put our customers first and try to understand the challenges they have deeply. This will allow us to build the best possible products. We value transparency and honesty to become as performant as possible. With an open yet always constructive feedback culture, we learn from each other and improve continuously.
We have high standards and reward performance, but at the same time, we want to work with positive people who treat their colleagues exceptionally well.