Senior/Principal Data Scientist (m/f/d)

Stenon GmbH; United States; Hybrid; USD 100,000 - 134,000; Full time

Benefits offered by this job

Hybrid/Remote options across Germany

Remote setup allowance

Learning budget

Year-end company closure

Job summary

Stenon GmbH is seeking a versatile Senior Data Scientist to expand our soil nutrient machine learning and data-driven features, enabling farmers to make better agronomic decisions using real-time soil data.

You will lead DS projects, scale models globally and shape the DS strategy in collaboration with data engineers, scientists and product teams. A strong foundation in ML, Python, and DS lifecycle is required, with experience in MLflow and DVC. Hybrid/remote work across Germany is offered.

Qualifications

• 5+ years of hands-on experience in Data Science products.
• A advanced degree in engineering or science.
• Strong understanding of statistical and fundamental ML concepts.
• Experience writing and maintaining Python code with scikit-learn, PyTorch, etc., and ML-Ops tools like MLflow and DVC.
• High degree of autonomy.
• Ability to translate complex ML concepts for non-technical audiences.
• Experience across the ML product lifecycle: metrics, evaluation, deployment, monitoring.
• Strong data and code quality mindset.
• Experience with high-dimensional sensor/signal data.
• Proven track record of managing complex projects in fast-paced settings.
• Experience mentoring team members.
• Excellent English communication (written and spoken).

Responsibilities

• Be responsible for a core pillar of Stenon's products.
• Scale soil nutrient modelling across regions.
• Oversee planning, execution and delivery of Data Science projects.
• Contribute to DS strategy, roadmap and new data sources.
• Work with diverse data sources from sensors to lab results.

Skills

5+ years in Data Science products

Advanced degree in engineering or scie

Statistical & ML concepts

Python (scikit, pytorch)

ML-Ops: MLflow, DVC

Autonomy

Translate complex ML concepts

ML product lifecycle

Data & code quality

Sensor data processing

Project leadership

Mentoring team members

English communication

Education

Advanced Degree in Engineering or Science

Tools

Docker

CI/CD

Job description

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.