Specific Expertise:
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.
For more details and Job description/ client/ rate, Please message or send cv careers@zetazsystems.com