Job
In this role, you will develop innovative machine learning models for analyzing soil and sensor data, take ownership of complex projects, and collaborate closely with an international team to improve agricultural decision-making.
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Your role in the team
- We are looking for a versatile and experienced Senior Data Scientist to drive and expand our existing machine learning solutions for soil nutrients, as well as develop new data-driven features that help our customers make better agronomic decisions for their fields using real-time soil data.
- 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 and chemical laboratory analysis results to spatial fertilization maps.
Our expectations of you
Education
- Advanced Degree in Engineering or Science.
- High degree of autonomy.
Qualifications
- Exceptional understanding of statistical and fundamental machine learning concepts.
- Ability to translate complex statistical or machine learning concepts into digestible information for non-technical audiences.
- 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.
- Good communication and English language skills - verbal and written.
- 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, such as Docker, CI/
Experience
- At least 5+ years of hands-on experience in Data Science products.
- Experience writing and maintaining Python code, including common libraries such as scikit-learn and PyTorch, as well as MLOps infrastructure such as MLflow and DVC.
- Experience across the machine learning product lifecycle: defining success metrics, model evaluation and validation, deployment, monitoring and iteration, in collaboration with data engineers.
- Experience leading or mentoring team members.
- Experience in geospatial products.
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 flexible schedules to suit 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.
Topics you will work on
Job locations
About your employer
Stenon GmbH, based in Potsdam, is an innovative company specializing in digital real-time soil data and sensor technology for agriculture. Since its founding in 2018, it assists agricultural businesses in capturing soil values directly in the field and deriving actionable insights from them.
- Startup
- Full Remote, Hybrid
- Agriculture, Silviculture
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