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