Data Scientist
Uni Systems
- Bruxelles
- CDI
- Temps-plein
- Interact with business stakeholders and with IT teams;
- Have strong participation in business and/or functional working groups, progress meetings and meetings with the stakeholders (IT and business);
- Collect business requirement and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence solutions;
- Execute 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);
- Produce data models according to specific problems statements;
- Perform 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.
- Master Degree in IT or related field and 13 years of professional experience in IT.
- 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; OR Data Visualizations: at least one among Matplotlib, Seaborn or Plotly (ggplot2 for R).
- Fluent in English at least at a level B2.