EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 16,000 people, including over 12,000 students and 4,000 researchers from more than 120 different countries.
Python developer – Data analytics
Your mission :
EPFL Graph is a data processing and analytics pipeline that leverages machine learning and graph processing algorithms to consolidate, interconnect and unify data, in order to provide fast content search, knowledge mapping and recommendations to the EPFL community.
One of the important objectives of the digitalization program of the EPFL Vice Presidency for Academic Affairs (VPA) is to integrate the semantic concepts and mappings provided by EPFL Graph into interactive and visual reporting tools, in particular to inform decision-making.
Main duties and responsibilities include :
In this framework, the VPA is looking for a skilled Python developer to work at the intersection between data analysis, data visualization and analytical/exploratory data science, to expand the functionalities built on top of EPFL Graph. In this role, you will collaborate with the EPFL Graph team and with the Academic Data unit of the VPA to :
For all these tasks, you will benefit from a great opportunity to contribute to highly visible projects, in collaboration with data analysts, data engineers and data owners to create new and innovate data visualizations and reporting tools, with exposure to different business problems and access to EPFL senior management.
Your profile :
Required profile :
Open nature, adept at communicating effectively, and willing to interact with all levels in the EPFL hierarchy. At ease in editorial and writing work, comfortable working with unknowns.
Preference for candidates with :
Experience with visualization and reporting tools (e.g., Jupyter notebooks, PowerBI, Plotly, …)
Experience in developing data visualization applications (e.g., d3.js, three.js, WebGL, …)
We offer :
- A dynamic, multicultural and innovative working environment
- Attractive working conditions
- Continuing education opportunities
Start date :
As soon as possible
Term of employment :
Work rate :
1 year, renewable
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account