Head of Data Science

vor 2 Wochen

Potsdam, Deutschland Stenon GmbH Vollzeit

Stenon offers the world’s first real-time soil analysis solution for agriculture. With our IoT solution consisting of intelligent sensor fusion, artificial intelligence and data analysis, we are solving a major and global problem in agriculture and society. We provide the necessary data for cultivation optimization that is currently not economically accessible and thus creates extreme value for farmers.
Stenon is expanding internationally. At Stenon, we pride ourselves on having a diverse and dynamic team spread across our offices in Germany and Brazil. As we continue to grow, we are committed to fostering a collaborative and inclusive environment that supports our global workforce.
Position
We seek a versatile and experienced Head of Data Science, that drives and expands our existing soil nutrient machine learning as well as new data driven features, that support our customers in making better agronomic decisions for their fields using real-time soil data. You will report directly to the CTO.
Tasks
- Lead the Data-Science Team
- Be responsible for a core pillar of stenons products
- Scale our soil nutrient modelling to support more and more regions across the world
- Oversee planning, execution and delivery of Data Science projects.
- Be part of the stenon leadership team and collaborate across functions with Product, Commercial and Engineering
- Own the Data Science strategy, vision and roadmap, enhancing stenons agronomy intelligence layer with additional features and data sources

**Requirements**:

- At least 5+ years of hands-on experience in Data Science products
- Experience in managing and mentoring people
- Advanced Degree in Engineering or Science
- Proven track record of managing complex projects from start to finish
- Exceptional understanding of statistical concepts
- Experience in geo-spatial and/or sensor data processing is considered a plus
- Experience writing and maintaining python code and the full ML life cycle, incl. common libraries like scikit, pytorch as well as ML-Ops infrastructure like MLflow, DVC
- A strong sense for data and code quality and the ability to push for high standards
- Experience working directly with internal stakeholders (Product, Commercial, Engineering)
- Very good communication and English language skills - verbal and written

**Benefits**:

- A fully remote or hybrid work setup - work anywhere in Germany
- 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
- Permanent full-time position with flexible work hours
- Company provided laptop
- Home office allowance
- ABC Berlin/Potsdam Travel pass if needed
- Team building and company retreats: Last year we went to Gran Canaria for a company retreat

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.

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