MANPOWER Luxembourg SA recruits for one of its clients, a well-known company located in Findel :
Junior Data Scientist (M / W)
Enhance existing and implement new machine learning-based methods to predict the global hazelnut production;
Develop and deploy a model-based framework for the early prediction of hazelnut crop quality;
Develop processing chains to automatically convert satellite data into business intelligence relevant to the agribusiness;
Implement methods to assess land suitability for hazelnut cultivation;
Develop interactive data visualization applications for geospatial data related to the agribusiness;
Maintain a general understanding and monitoring of new innovations for precision farming techniques;
Communicate results to both technical and non-technical business stakeholders.
Bachelor’s or Master’s degree in Data Science, Remote Sensing, Computer Science, Environmental Modelling or any other related fields;
1-3 years of relevant work experience in Data Science or Remote Sensing gained in multinational organizations, preferably in agriculture;
Experience in AI and Machine Learning as well as in the development and deployment of custom algorithms;
Experience in operational forecasting activities, preferably in yield forecasting;
Experience in crop quality modelling is considered a plus;
Detail-oriented and problem-solving mindset;
Excellent analytical skills and the ability to work independently in a fast-paced environment;
Ability to speak with and translate findings to business stakeholders with little / no computer science background;
Fluency in English;
IT skills :
Advanced working knowledge of programming and scripting languages such as R, Python, Matlab and SQL;
Demonstrated experience with Geographical Information Systems (QGIS, ArcGIS) and / or Earth Observation data;
Hands-on experience with version control systems (e.g. git) and collaborative workflows;
Microsoft Office 365 applications knowledge is mandatory;
Familiarity with data visualization in PowerBI is an asset;
Additional knowledge of Databricks, Spark and C# is considered a plus.
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Only applications meeting the criteria above will be considered and treated confidentially.