For out client EC we are looking for Data Scientist
1. DESCRIPTION OF THE TASKS
The tasks to be performed related to the above-mentioned broader objectives include support to
DG AGRI data analytics initiatives and in particular the following tasks will be performed by the
external service provider:
• Data collection, transformation and integration: Analyse the needs and identify suitable data
sources and flows. Organise the execution of the data collection and integration processes,
verify results, propose improvements and implement them in co-operation with the IT
department. Organise the related user acceptance tests.
This task will generate up-to-date data collection, transformation and integration processes and
tools, updated databases with integrated data, up-to-date analysis documents, process
documentation and reports.
• Data validation, visualisation and publication: Organise the data validation and the data quality
checks, including through automated processes. Analyze needs and create reports, data
visualisations and publications, in cooperation with the IT department. Organise the related user
acceptance tests.
This sub-task will generate up-to-date data validation processes, updated databases with
validated data, up-to-date process documentation and reports, up-to-date reports, data
visualisations and publications.
• Support to data providers and users: Support data providers in the communication of data
through the creation of templates, tools and guidance documents. Support both data providers
and users at various stages of the data validation processes. Organise the support to users asking
for access, clarification or information on data. This task will generate templates, tools, guidance
documents and managed data helpdesk tickets.
• Data policies: Collaborate in assessing the implementation of DG AGRI data policies and
ensure data policies are implemented for new data collections.
2. KNOWLEDGE AND SKILLS
The following skills and knowledge are required for the above listed task.
– Data processes across the whole data lifecycle (collection, processing, integration,
transformation, visualization, publication, …)
– Definition of business requirements on data aspects
– Organisation of user acceptance tests on data-related IT solutions
– Analysis, evaluation and documentation of data processes skills
3. Specific Expertise
The following specific expertise is mandatory for the performance of tasks.
Experience :
1. A minimum of 5 years of experience in the field of data analysis and data science.
2. A minimum of 2 years of experience with the data management and visualization tools
Knowledge:
– At least 5 years of data analysis as statistician.
– At least 2 years of experience with Power BI and R Studio on visualisations,
trends/anomalies detection, database environment comparisons.
– At least 2 years of experience with languages like R, Python, SQL.
– At least 2 years of experience as SQL Developer, R Studio, Excel, Power BI
– At least 2 years of experience in accessing data via APIs
4. Certification and Standards
N/A
5. Service Delivery
The services shall be performed remotely. Laptop will be provided by the Commission.