The Role
Lead soil nutrient modeling and develop machine learning features using sensor, laboratory, and spatial data. Scale models internationally, oversee data science projects, shape the technical roadmap, and manage the full machine learning product lifecycle from metrics and validation through deployment, monitoring, and iteration. The role also requires mentoring, cross-functional collaboration, strong code and data quality standards, and explaining complex concepts to nontechnical audiences.
Summary Generated by Built In
About Stenon GmbH
At Stenon we are on a mission to democratize soil data. We have become the global market leader in real-time, digital soil data. This provides farmers with essential insights to make optimal and sustainable cultivation decisions, boosting yield, crop quality, and soil health while saving money on inputs. Stenon has closed an $18 million Series B financing round to scale real-time nitrogen and soil data management and is expanding internationally.
Position
We seek a versatile and experienced Senior Data Scientist, 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.
What you will do
* Be responsible for a core pillar of Stenon’s products
* Scale our soil nutrient modelling to support more and more regions across the world
* Oversee planning, execution and delivery of Data Science projects.
* Contribute to the Data Science strategy, vision and roadmap, enhancing Stenon’s agronomy intelligence layer to support additional features and enable new data sources
* Work with a variety of data from spectral sensor data via chemical lab analysis results to spatial fertilization maps.
What you must have
* At least 5+ years of hands-on experience in Data Science products
* Advanced Degree in Engineering or Science
* Exceptional understanding of statistical and fundamental machine learning concepts
* Experience writing and maintaining python code, incl. common libraries like scikit, pytorch as well as ML-Ops infrastructure like MLflow, DVC
* High degree of autonomy
* Ability to translate complex statistical or machine learning concepts into digestible information for non-technical audiences
* Experience across the machine learning product lifecycle: defining success metrics, model evaluation and validation, deployment, monitoring and iteration, in collaboration with data engineers
* A strong sense for data and code quality and the ability to push for high standards
* High-dimensional sensor/signal data processing expertise
* Proven track record of managing complex projects from start to finish in a fast paced environment
* Experience leading or mentoring team members
* Good communication and English language skills \- verbal and written
You may have
* Experience in geo-spatial products
* Knowledge of agronomy or agriculture, sensor/IoT data, or field trials
* Understanding of sensor hardware, physical measurement principles and real world noise characteristics
* ML Ops or Data Engineering knowledge, like Docker, CI/
What we offer
* Ownership & Growth: A key role in a fast-growing scale-up where you own your area of responsibility with flat hierarchies and fast decision-making.
* Real-World Impact: Design products that go directly into the hands of farmers, solving global food production and climate challenges.
* Collaborative Culture: Work in a highly productive, international team that values hands-on development and mutual support.
* Work-Life Balance: A permanent full-time role offering adaptable schedules to accommodate your lifestyle.
* Flexible Location: Choose between hybrid or fully remote options across Germany, featuring one mandatory monthly collaboration day in Potsdam for team cohesion and alignment.
* Remote Setup Support: A dedicated financial allowance to help you optimize your home workspace
* Learning Budget: Invest in your professional growth with an annual allowance dedicated to courses, conferences, books and certifications
* Year-End Break: Enjoy a paid company-wide closure between Christmas and New Year to recharge and spend time with loved ones.
* Seamless Commuting: Choose between an ABC Berlin/Potsdam travel pass or a Deutschland-Ticket to keep you mobile.
* Team Spirit: Annual company retreats to warmer climates (last year we went to Gran Canaria), regular social events, and a fully stocked kitchen with coffee, tea, and snacks.
Why Us?
We are changing how farmers understand and manage their soil, moving from lab-based analysis to real-time insights directly in the field. We value transparency, ownership, and continuous improvement, and we believe great products come from teams that respect and support each other.
We set high standards, reward performance, and foster a positive, constructive feedback culture.
At Stenon we are on a mission to democratize soil data. We have become the global market leader in real-time, digital soil data. This provides farmers with essential insights to make optimal and sustainable cultivation decisions, boosting yield, crop quality, and soil health while saving money on inputs. Stenon has closed an $18 million Series B financing round to scale real-time nitrogen and soil data management and is expanding internationally.
Position
We seek a versatile and experienced Senior Data Scientist, 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.
What you will do
* Be responsible for a core pillar of Stenon’s products
* Scale our soil nutrient modelling to support more and more regions across the world
* Oversee planning, execution and delivery of Data Science projects.
* Contribute to the Data Science strategy, vision and roadmap, enhancing Stenon’s agronomy intelligence layer to support additional features and enable new data sources
* Work with a variety of data from spectral sensor data via chemical lab analysis results to spatial fertilization maps.
What you must have
* At least 5+ years of hands-on experience in Data Science products
* Advanced Degree in Engineering or Science
* Exceptional understanding of statistical and fundamental machine learning concepts
* Experience writing and maintaining python code, incl. common libraries like scikit, pytorch as well as ML-Ops infrastructure like MLflow, DVC
* High degree of autonomy
* Ability to translate complex statistical or machine learning concepts into digestible information for non-technical audiences
* Experience across the machine learning product lifecycle: defining success metrics, model evaluation and validation, deployment, monitoring and iteration, in collaboration with data engineers
* A strong sense for data and code quality and the ability to push for high standards
* High-dimensional sensor/signal data processing expertise
* Proven track record of managing complex projects from start to finish in a fast paced environment
* Experience leading or mentoring team members
* Good communication and English language skills \- verbal and written
You may have
* Experience in geo-spatial products
* Knowledge of agronomy or agriculture, sensor/IoT data, or field trials
* Understanding of sensor hardware, physical measurement principles and real world noise characteristics
* ML Ops or Data Engineering knowledge, like Docker, CI/
What we offer
* Ownership & Growth: A key role in a fast-growing scale-up where you own your area of responsibility with flat hierarchies and fast decision-making.
* Real-World Impact: Design products that go directly into the hands of farmers, solving global food production and climate challenges.
* Collaborative Culture: Work in a highly productive, international team that values hands-on development and mutual support.
* Work-Life Balance: A permanent full-time role offering adaptable schedules to accommodate your lifestyle.
* Flexible Location: Choose between hybrid or fully remote options across Germany, featuring one mandatory monthly collaboration day in Potsdam for team cohesion and alignment.
* Remote Setup Support: A dedicated financial allowance to help you optimize your home workspace
* Learning Budget: Invest in your professional growth with an annual allowance dedicated to courses, conferences, books and certifications
* Year-End Break: Enjoy a paid company-wide closure between Christmas and New Year to recharge and spend time with loved ones.
* Seamless Commuting: Choose between an ABC Berlin/Potsdam travel pass or a Deutschland-Ticket to keep you mobile.
* Team Spirit: Annual company retreats to warmer climates (last year we went to Gran Canaria), regular social events, and a fully stocked kitchen with coffee, tea, and snacks.
Why Us?
We are changing how farmers understand and manage their soil, moving from lab-based analysis to real-time insights directly in the field. We value transparency, ownership, and continuous improvement, and we believe great products come from teams that respect and support each other.
We set high standards, reward performance, and foster a positive, constructive feedback culture.
Skills Required
- At least 5 years of hands-on experience developing Data Science products
- Advanced degree in Engineering or Science
- Strong understanding of statistics and fundamental machine learning concepts
- Experience writing and maintaining Python code using libraries such as scikit-learn and PyTorch
- Experience with MLOps infrastructure such as MLflow and DVC
- Ability to work autonomously
- Ability to explain complex statistical and machine learning concepts to nontechnical audiences
- Experience across the machine learning product lifecycle, including metrics, evaluation, validation, deployment, monitoring, and iteration
- High-dimensional sensor or signal data processing expertise
- Experience managing complex projects from start to finish in a fast-paced environment
- Experience leading or mentoring team members
- Strong verbal and written English communication skills
- Experience with geospatial products
- Knowledge of agronomy or agriculture
- Experience with sensor or IoT data or field trials
- Understanding of sensor hardware, physical measurement principles, and real-world noise characteristics
- MLOps or Data Engineering knowledge, including Docker and CI/CD
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The Company
What We Do
Stenon GmbH is a global leader in real-time digital soil data, providing innovative sensor technology like the FarmLab device. Its mission is to make soil data accessible in real-time, enabling agri-businesses to optimize yields, improve soil health, and reduce input costs. The company focuses on driving efficiency and sustainability across the agricultural value chain through precise, laboratory-independent soil insights.
