Data Scientist

Stenon GmbH; United States; Hybrid; USD 134,000 - 201,000; Full time

Benefits offered by this job

Remote setup allowance

Learning budget

Annual company retreats

Year-end company closure

Job summary

Stenon is hiring a Senior Data Scientist to advance real-time soil data and nutrient modelling. You will drive ML features, work with spectral sensor data, lab results, and spatial maps to empower agronomic decisions.

The role calls for autonomy, strong communication, and mentoring of peers in a fast-growing scale-up. Join a global team with hybrid/remote options in Germany, a learning budget, remote setup support, and annual company retreats.

Qualifications

• 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 with common libraries.
• Experience with ML-Ops infrastructure like MLflow and DVC.
• Ability to translate complex ML concepts for non-technical audiences.

Responsibilities

• Be responsible for a core pillar of Stenon's products.
• Scale soil nutrient modelling across regions worldwide.
• Oversee planning, execution and delivery of Data Science projects.
• Contribute to Data Science strategy, vision and roadmap.
• Work with diverse data sources from spectral sensor data to spatial maps.

Skills

Data Science

Python

ML-Ops

Docker

CI/CD

AWS

GCP

English

Education

Advanced Degree in Engineering or Science

Tools

scikit-learn

PyTorch

MLflow

DVC

Job description

Описание:

Who are we? 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.

Задачи:

• 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.

Требования:

• 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/CD, AWS or GCP

Условия:

• 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 time we went to Gran Canaria), regular social events, and a fully stocked kitchen with coffee, tea, and snacks.

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.