Principal Data Scientist – Industry Collaborations (Lausanne)

☞ EPFL

Vue: 160

Jour de mise à jour: 24-04-2024

Localisation: Lausanne Vaud VD

Catégorie: IT - Matériel / Réseaux Informatique

Industrie: Enseignement et formation

Type d’emploi: Temps plein, Durée déterminée

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le contenu du travail

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.

The Swiss Data Science Center
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.
Our team is international and composed of data scientists passionate about solving data related challenge.
The Swiss Data Science Center is a stimulating, startup-like, cross-disciplinary environment in a leading university, that offers opportunities for supporting the Swiss industry in its digital transformation.
We have offices in Zurich, Lausanne and Villigen.


Principal Data Scientist – Industry Collaborations (Lausanne)

Your mission :
A typical day for a Principal Data Scientist
You will work on developing the SDSC industry partnerships in the French part of Switzerland.
In this role, you will meet partners (companies) in order to understand their needs and help them define projects with the SDSC.

Main duties and responsibilities include :
  • Launch new industry collaborations in the French part of Switzerland
  • Coach data scientists within the Industry Unit
  • Lead existing collaborations with our industrial partners
  • Share your knowledge about data science and machine learning
  • Increase awareness of SDSC in the Swiss Industry

More specifically, you will:
  • Presenting the SDSC to a non-technical audience is also part of your activities.
  • During your work, you will have the opportunity to collaborate with more than 70 data enthusiasts.
  • When dealing with data engineering aspects, you will have the opportunity to collaborate with our software development team.
  • The SDSC environment will allow you to grow your people management and data science skills.
Your profile :
We are a looking for candidates with:
  • A Master degree in Computer Science, Mathematics or similar field and
  • A minimum of 5 years of industry experience (PhD is a plus).
  • Candidates should have good knowledge of machine learning concepts and be able to present to various audiences.
  • Candidates must be fluent in English and have knowledge of French.
  • We expect candidates who are open to collaborative work and show team spirit, who are eager to continuously learn, and who show a willingness to contribute to an inclusive environment.
We offer :
  • Develop your soft skills and meet with key stakeholders in several industries.
  • Build and grow your team of data scientists
  • Discover new data science applications in various industries
  • Learn advanced machine learning topics with our academic experts
Accelerating the adoption of data science in Switzerland
Do you see yourself helping companies in Switzerland to foster the adoption of data science? Are you passionate about data science and data-driven decision making? Are you keen to share your expertise and get exposed to several projects in various industries? Are you eager to be part of a diverse team with equal growth opportunities of its members at its core?
If you can answer yes to these questions, you should consider joining us. Together we could help move the Swiss Industry to the next level of data science.

Start date :
March 2022

Term of employment :
Fixed-term (CDD)

Duration :
1 year renewable

Contact :
We look forward to receiving your online application including application letter, CV and diploma(s).
Please note that we exclusively accept applications submitted through the online application portal. Applications via email or postal services will not be considered.
For further information about the Swiss Data Science Center please visit our website: www.datascience.ch.
Questions regarding the position should be directed to Mylène Tressens by email mylene.tressens@epfl.ch (opens in new tab) (no applications).

Remark :
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.

Reference :
Job Nb 2120

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Date limite: 08-06-2024

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