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

Einblick in das Angebot

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 agri