Principal Data Scientist – Industry Collaborations

  • EPFL
  • Lausanne, VD, Switzerland
  • 20/01/2021
Full time Data Science Data Analytics Big Data Data Management Statistics

Job Description

The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 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 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.

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. Our team is very international and composed of data scientists passionate about solving data related challenges, and computer scientists enthusiastically developing RENKU, an open access software solution aiming to make data science collaborative and sustainable.

The Swiss Data Science Center is a stimulating, startup-like, cross-disciplinary environment in a leading university, that offers opportunities for turning academic research into impactful solutions, with excellent ties to research groups worldwide, both academic and industrial, and has access to state-of-the-art infrastructure and resources.

Principal Data Scientist – Industry Collaborations

A day in the life of 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. In this position, you will also coach data scientists, provide support to existing projects and share your machine learning expertise within the SDSC.

More specifically, your responsibilities will be:

  • Start new industry collaborations in the French part of Switzerland
  • Provide recommendations for our strategy regarding industry partners
  • Supervise projects with industry partners
  • Coach data scientists within the industry unit
  • Share expertise in data science and machine learning
  • Increase awareness of SDSC in the Swiss industry


Presenting the SDSC to a non-technical audience will also be part of your activities.We are a looking for candidates with the following skills:

  • Master degree in Computer Science, Mathematics or similar field (PhD is a plus)
  • Minimum of 5 years of industry experience
  • Good knowledge of machine learning concepts
  • Be able to present to various audiences
  • Open to collaborative work and show team spirit
  • Fluent in English and have knowledge of French

Part-time arrangements and flexible hours can be explored based on individual circumstances. We are looking for candidates who are eager to continuously learn, and who show a willingness to contribute to an inclusive environment.


Why you should work with us:
Do you see yourself helping Switzerland becoming more data-driven? Are you passionate about data science and have good experience in machine learning? Are you keen to share what you know and get exposed to several projects in various industries? Are you eager to be part of a diverse and adaptable 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. During your time at the Swiss Data Science Center, you will benefit from the following opportunities:

  • 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

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 at mylene.tressens@epfl.ch. (no applications).

Remark :
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered