DESCRIPTION OF THE TASKS • Gathering business requirements • Participation in meetings with the project teams. • Identifying relevant data sources linked to a business need • Conduct exploratory data analysis to understand and validate available data • Set up the necessary technical procedures to retrieve and link relevant data by creating structured and efficient data pipelines • Create and maintain the necessary technical components to support the full lifecycle of statistical and Machine Learning models at scale • Create and maintain the necessary technical components to exploit large volumes of unstructured data • Writing of technical documentation • Interaction with the business analysts, customer, users, project leaders and the developers KNOWLEDGE AND SKILLS Following skills and knowledge are required for the performance of the above listed tasks: University degree in IT or related field - minimum 5 years of working experience and at least 2 years of specific expertise using the Python programming language • Good knowledge of SQL • Good knowledge of the Python programming language • Good knowledge of statistical and Machine Learning models, in particular for forecasting purposes • Good knowledge of technologies used for building and monitoring efficient data pipelines (e.g, Dagster)• Good knowledge of CI/CD technologies • Ability to cope with fast changing technologies in the DevSecOps domain Rate: From 90€/day to 250€/day Work model: Remote