Data Scientist – Agronomy

Doriane is a leading AgriTech company specializing in software solutions for agronomic R&D and innovation. Our SaaS platform Bloomeo is used by major agricultural players worldwide — seed companies, biosolution leaders, technical institutes, cooperatives, and research organizations. We help our clients make better decisions by turning complex agronomic data into actionable knowledge. Our work directly supports a major transition in agriculture: reducing reliance on chemical inputs while maintaining crop performance and yields in the context of climate change. 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 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 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. Who we are looking for Degree in data science, statistics, engineering, agronomy or a closely related field Strong interest in agronomy is essential Prior experience in agriculture, agronomic research, plant science, environmental or agri-food data is a strong advantage Solid foundations in statistics and machine learning Proven ability to work with Python and common data science libraries (pandas, NumPy, scikit-learn, etc.) Comfortable with complex, heterogeneous datasets (field trials, observations, sensors, spatial or temporal data) Curious, rigorous, and able to translate real-world agronomic questions into data-driven approaches Enjoys collaborative work in multidisciplinary and international environments Fluent technical English is mandatory (international clients and projects), even if most internal interactions are in French Why join Doriane Work on meaningful agronomic challenges with tangible impact Contribute to a market-leading product used by major agricultural players worldwide Be part of a company deeply involved in collaborative and research-driven projects Combine data science, agronomy and purpose in a single role Join a growing, human-scale company based in Nice, with strong scientific and technical ambitions The Interview Process Is Structured As Follows First interview with Louis Gauthier, Co-Managing Director of Doriane (remote). Second interview with Tristan Duminil, Head of Agronomy (remote). Final round in Nice, including meetings with several members of the Doriane team: a future teammate (Djampa), the CTO (Florian), the COO (Pascal), and the Co-Managing Director (Marine). The final round is also an opportunity to discover Doriane’s working environment, meet the team, and get a concrete feel for how we collaborate on a daily basis. #J-18808-Ljbffr