Completed training (HTL/FH/University, etc.) with a focus on statistics or data science, e.g. in the fields of mathematics, computer science and economics.
Professional experience as a data scientist/analyst:
Senior classification: from 5 years; Scope of at least 500 person days
Experience with AI/ML in cloud or on-premise systems (Azure Databricks preferred).
Very good Python and/or R knowledge.
Confident use of relational databases and data modeling.
In-depth knowledge in the areas of big data, data analysis and data storage systems (SQL/NoSQL as well as graph databases, data lakes, data warehouses, data lakehouses).
Strong communication skills including the ability to visualize complex statistical data and concepts.
Strong analytical thinking skills.
Must have very good English skills (corresponds to level B2).
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