Data Scientist

vor 2 Wochen

Lausanne, Schweiz Swiss Plasma Center at EPFL Vollzeit
About The Swiss Data Science Center (SDSC)

The Swiss Data Science Center (SDSC) is a strategic focus area of the ETH domain, with EPFL and ETH Zurich as founding partners, developing into a National Research Infrastructure in 2025. Its mission is to support academic labs, hospitals, industry and public sector stakeholders, including cantonal and federal administrations, through their entire data science journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructures. More: www.datascience.ch

Your mission

You will work on one of the SDSC’s innovation partnerships in the French part of Switzerland. In this role, you will meet partners (companies) to understand their needs and help them define a high-impact project with the SDSC. You will be responsible for successfully carrying out the project thanks to your machine learning expertise with the help and support of the SDSC team.

Main Duties And Responsibilities Include

  • Be the main customer touchpoint of an industry collaboration
  • Carry out projects with industry partners, from solution design to hands-on development
  • Turn your machine learning skills into business value – go beyond split-fit-transform-test
  • Share expertise in data science and machine learning with fellow data scientists
  • Presenting to a non-technical audience will also be part of your activities.
Your profile

The Ideal Candidate Has

  • Master degree in Computer Science, Mathematics or similar fields
  • Good knowledge of machine learning concepts
  • Ability to present to technical and non-technical audiences
  • Open to collaborative work and show team spirit
  • Excellent communication skills in English and French
  • Previous experience in companies or public sector organizations is appreciated but not mandatory
We offer

About

Do you see yourself helping Switzerland becoming more data-driven? Are you passionate about data science and with 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 your answer to these questions is yes, you should consider joining us. Together, we can 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
  • Interact with and learn from fellow data scientists
  • Discover new data science applications in various industries
  • Exchange on advanced machine learning topics with our academic experts
We actively promote a healthy work-life balance in the workplace. Part-time arrangements and flexible hours can be explored based on individual circumstances. We are looking for candidates willing to contribute to an inclusive environment and eager to learn continuously.

Informations

Contract Start Date : 01/05/2025

Activity Rate : 100.00

Contract Type: CDD

Duration: 1 year, renewable

Reference: 1444

Contact

We look forward to receiving your online application including application letter, CV and diploma(s). 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 hrdatascience@datascience.ch with the job n° reference.

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. #J-18808-Ljbffr

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