Job Specifications
Context & Position Overview
The Data scientist will lead the development and management of Agriodor’s proprietary and external datasets with the support and to the service of each domain : R&D teams (chemistry, entomology, agronomy, formulation) and other teams (marketing…)
The objective of the Data Scientist, through its missions, are to :
Ensure data-driven decision-making across the company
Develop efficiency and robustness in data analysis within the company
Prepare Agriodor’s data architecture for future AI/ML applications
Support the deployment of AI tools and agents which are relevant to each domain
To reach those objective, the Data scientist :
Will report directly to the Chief Technology Officer (CTO)
Will receive the support of the external CIO
Will work closely with each domain
Will structure the Data Department which will probably include recruitment needs to ensure that the above mentioned objectives are reached
Key Responsibilities Database Management & Evolution
Develop, maintain, and optimize Agriodor’s database. This responsibility includes :
Deploy Data architecture management good practices with appropriate processes to ensure data quality, integrity, security, completeness and compliance.
Set protocols to cleanse historical data
Ensure proper collection of all Agriodor’s relevant data with the help of each team and the relevant tools for data collection and data cleansing
Train teams to fully utilize tools deployed and empower them so that they can guarantee quality of uploaded data
Integrate external datasets (agronomic, environmental, entomological, literature, climate data):
Design scalable data structures to future AI deployment (machine learning models…)
Data science & statistics
Give access to each team relevant data extracts and train them so that they are as autonomous as possible to perform the analysis they need for their work
Develop new data analysis methods (data science or biostat)
Collaborate with teams to ensure statistical robustness in experimental design.
Support internal reporting, publications, and regulatory dossiers
Train and support internal teams to strengthen statistical literacy across the company.
AI
Conceive PoCs, Minimal Viable Products
Support CIO / in deploying relevant LLM and AI tools access to R&D Teams and other functions (Marketing, Back …)
Support teams in the creation of their own agents…
Contribute to long-term digital strategy, including predictive modeling with AI/ML
Profil recherché
Profile & Requirements
5 years+ of experience in data management, data sciences and statistical analysis.
Entry level experience in AI/Agents
Experience in life sciences appreciated
Master’s or PhD in Data Science, Applied Mathematics, Computational Biology, Bioinformatics, Biostatistics, or related field.
Expertise in experimental design, advanced statistical modeling, and analysis.
Experience with databases (SQL / No SQL), R, Python, SAS, visualization tools.
Familiarity with ML frameworks (scikit-learn, TensorFlow, PyTorch) is a plus.
Fluent in French and English.
Strong analytical mindset, rigor, autonomy, teamwork, and communication skills.
About the Company
An #agtech #biotech company developing odor-based biocontrol solutions with attractive or repellent effects on insects, for crop protection. Backed by 5 years of R&D at INRAE, we develop groundbreaking products that replace insecticides with attractants based on kairomones or repellents based on allomones -- naturally occurring plant volatiles. One of our key innovations: INSIOR GR A, a solution against beet yellows virus, offering an alternative to neonicotinoids and helping preserve biodiversity. Our mission is to suppo...
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