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