Senior Data Scientist

We are DNEXT, commodity agriculture experts. We provide consultancy to a variety of firms involved from the production stage all the way to the consumers and across multiple geographies. We provide our customers with a market intelligence platform hosting the full-scope of datasets related to agriculture commodities.Our aim is to bring more transparency to the agricultural supply chain for the benefit of the different market stakeholders.Job ProfileWe are looking to hire a senior data scientist with experience in Geospatial data. Your responsibilities will consist of building predictive models for crop yield and overall production using weather and satellite data for all major crops covered by DNEXT. You will join a team of commodity analysts, data scientists and analysts.ResponsibilitiesDesign and build machine learning models for crop prediction using PythonAnalyze available weather, satellite and crop production data sets and identify new data sourcesQualificationsUniversity degree in physics, mathematics, computer science, geospatial Engineering or environmental sciencesIndustry experience in building and deploying machine learning modelsNecessary experience:Proficiency in Python & Python data processing and machine learning libraries (pandas, xarray, scikit-learn, pytorch, tensorflow, etc.) Experience setting up and maintaining relational databases, experience working with spatial database extensions (Postgres)Experience in cloud computing, preferably AWS High-level written and verbal communication skills Ability for teamwork, and capacity to handle short timelines Fluent in English Desired experience:Experience working with geospatial data in Python (rasterio, rioxarray, etc.) as well as GIS toolsExperience building machine learning models using raster or imagery data (convolutional networks, UNET, WNET, etc.)Experience using foundation models