Data Scientist – Agronomy

il y a 4 jours

Avenue Jean Médecin Nice France Doriane Temps plein
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 Doriane's 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.

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