Description
Responsibilities:- Look for opportunities to use internal and external data sources;
- Merge, manage, interrogate and extract data from those various data sources;
- Build, test and select data mining models;
- Use algorithmic, data mining, artificial intelligence, machine learning and statistical tools to supply visualisations, descriptive and predictive analysis as well as insights on the Common Agricultural Policy data.
Experience:
- A minimum of 5 years with RDBMS and SQL
- At least 2 years with the analysis of large datasets using Data Science specialized software;
- 1 year of experience with Python in the specific context of data analysis;
- A deep knowledge of machine learning techniques such as naïve Bayes, regression models, support-vector machines …
- SAP BODS ETL processes;
- Nice to have experience with R;
- Nice to have Qlik Sense.