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.
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