EU - Data Scientist – Brussels – European Governments

at  The White Team

DESCRIPTION OF THE TASK:

The following services will be provided:

• 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):

• 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:

o Data Management: Pandas (tidyverse and dplyr for R), Numpy;

o 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.

Please refer the Job description for details