Eu - Data Scientist - Brussels - European

Il y a 6 mois

Brussels, Belgique The White Team Temps plein

**DESCRIPTION**:

- Collect business requirement and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence solutions;
- Specification and design of presentation interfaces with optimal usability/user experience;
- Identify, collect, convert and update different data types/sets in several locations (e.g. ETL);
- Produces data models according to specific problems statements;
- Scripting and programming;
- Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc );
- Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.

All these activities require interactions with business stakeholders and with the IT teams as well as a strong participation in business and/or functional working groups, progress meetings and meetings with the stakeholders (IT and business).

**KNOWLEDGE AND SKILLS**:
Knowledge and skills as defined in the Service Requirements for a Data Scientist (DS) level 5:

- Excellent knowledge of Data Analytics techniques and tools;
- Experience with languages like R, Python, PERL;
- Proficient in continuous code delivery and unit testing;
- Expertise in the ETL processes and tools (i.e. Talend Open Studio );
- Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL);
- Knowledge of architectural design and implementation of scalable modern data stores;
- Knowledge of R-Studio infrastructure is an asset;
- Experience in developing interactive R / Python dashboards using packages like Shiny, Dash or similar is an asset;
- Experience in developing R / Python functions to perform linear algebra calculations with data frames and arrays, ensuring efficient manipulation of data is an asset;
- Experience in using the following libraries (or equivalents) is an asset:

- Data Management: Pandas (tidyverse and dplyr for R), Numpy;
- Data Visualizations: at least one among Matplotlib, Seaborn or Plotly (ggplot2 for R);
- Capability to write clear and structured technical documents;
- Ability to work in a team as well as autonomously;
- Results-oriented mindset, focused on delivering;
- Good communication skills in English, both orally and in written form.

**SPECIFIC EXPERTISE**:
One (1) Data Scientist (DS) level 5 with a minimum:

- Corresponding level of education and work experience as specified in Annex 5 of the FWC.

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