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