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 SKILLSFollowing 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 domainRate: From 90€/day to 250€/dayWork model: Remote