• Communicating with internal and external clients to understand and define business needs • Initial project analysis, setting up project activities in the data science area and monitoring their delivery • Implementing, validating and maintaining predictive, prescriptive and generative (foundation) models with a focus on big data • Evaluating modelling results and communicating the results to technical and non-technical audiences • Working with both open source and proprietary technologies (such as IBM Cloud, Google Cloud Platform, Microsoft Azure, AWS...) • Assisting clients in leveraging their data resources and acting as an advocate of data-driven application development • Working in an agile, collaborative environment, partnering with other scientists, engineers, consultants and specialists of all backgrounds and disciplines to bring analytical rigor and statistical methods to the data-drive application development | |
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