Accelerating the adoption of data science in Switzerland
The Swiss Data Science Center (SDSC) is a joint venture between ETH Zurich and EPFL. We have been mandated by the Swiss Confederation to accelerate the adoption of data science in academia and industry. The SDSC provides a stimulating, startup-like, cross-disciplinary environment at one of the leading Swiss universities and offers opportunities for turning academic research into impactful solutions. With our excellent ties to research groups worldwide, both academic and industrial, we have access to state-of-the-art infrastructure and resources.
Why apply to the SDSC?
Are you passionate about data science, familiar with machine learning and keen on deepening your experience on the topic? Are you willing to solve industry challenges while being coached by experienced data scientists? Would you love to work in a startup-like mind-set, but think that collaborating with an academic structure is a definite plus? Are you eager to be part of a diverse and adaptable team with growth opportunities of its members at its core? If you can answer yes to these questions, you should consider joining us. We are a growing team of passionate data scientists who tackle business challenges and provide actionable results. Together, we will help move the Swiss Industry to the next level of data science.
More specifically, in this role you will:
We are a looking for candidates with the following profile:
We look forward to receiving your online application including cover letter, CV and diploma(s). Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about the Swiss Data Science Center can be found on our website www.datascience.ch. Questions regarding the position should be directed to Mylène Tressens, email@example.com (no applications).
|Title||Data Scientist – Industry Projects|
|Job location||Rämistrasse 101, 8006 Zurich|
|Published||January 27, 2021|
|Job types||Researcher,   Research assistant  |
|Fields||Algorithms,   Data Mining,   Data Structures,   Databases,   Information Systems (Business Informatics),   Programming Languages,   Machine Learning  |