Data Scientist
Il y a 7 mois
**Your tasks**
- 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);
- Produce 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.).
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**Requirements**:
- Master’s degree in IT or relevant discipline, combined with minimum 13 years of relevant working experience in IT;
- Excellent knowledge of Data Analytics techniques and tools;
- Expertise in the ETL processes and tools (i.e. Talend Open Studio );
- Experience with languages such us R, Python, PERL;
- Proficient in continuous code delivery and unit testing;
- Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL);
- Knowledge of architectural design and implementation of scalable modern data stores;
- Experience in developing R / Python functions to perform linear algebra calculations with data frames and arrays, ensuring efficient manipulation of data is an asset;
- Knowledge of R-Studio infrastructure as well as experience in developing interactive R / Python dashboards using packages like Shiny, Dash or similar 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);
- Excellent command of the English language.
**Benefits**
If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference**:(17037/05/24).**
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
Furthermore, when providing your data, it is up to you to explicitly consent that your data can be assessed for future job openings, for as long as you do not withdraw such consent. If you do not consent, we will not be able to consider the data you provide to us for future job openings.
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