Data Scientist – Agronomy

The role

We are looking for a Data Scientist with a strong interest in agronomy .

You will work at the intersection of data science agronomy and product contributing both to the evolution of Bloomeo and to collaborative R&D projects involving clients universities and research institutes.

This role offers a high level of autonomy close interaction with domain experts and the opportunity to see your work directly used in real-world decision-making.

Your missions

You will contribute to several strategic data science topics including :

Envirotyping & agronomic contextualization

Model and integrate pedo-climatic environmental and agronomic context to better explain variability in field trial results.

Data quality & anomaly detection

Design robust methods to detect inconsistencies outliers and anomalies in complex agronomic datasets.

Statistics embedded in the product

Formalize and implement statistical methods that can be directly integrated into Bloomeo and used by agronomists and R&D teams.

Predictive modeling of plant behavior

Develop models to predict crop or plant responses to environmental conditions agronomic practices or genetic material.

Generative AI & semantic harmonization

Apply NLP and generative AI techniques to reconcile heterogeneous field observations expressed with different vocabularies but referring to the same agronomic concepts.

Collaboration & knowledge sharing

Work closely with Dorianes product software engineering and agronomy teams and interact regularly with clients academic partners and collaborative project consortia.

Why this role is different from a classic Data Scientist job

At Doriane this is not a generic data science position focused on abstract datasets or disconnected models.

You work on real agronomic data coming from field trials crops soils climate and agricultural practices data that is complex noisy and highly contextual.

Your models are not proofs of concept : they are designed to be integrated into Bloomeo a production software used daily by agronomists researchers and R&D teams worldwide.

You collaborate closely with agronomists software engineers and product teams as well as with clients universities and research institutes involved in collaborative projects.

You contribute to structuring agronomic knowledge using statistics machine learning and generative AI to bridge gaps between heterogeneous observations and vocabularies.

Your work directly supports a major transition in agriculture : reducing chemical inputs while maintaining yields and performance despite climate change.

You apply data science to high-impact real-world decisions where scientific rigor and operational usability matter as much as model performance.

Required Experience :

IC

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1

Yearly Salary Salary : 47000 - 80000