Data Scientist – Industry Collaborations

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 6,500 people supporting the three main missions of the institution: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 17,000 people, including over 12,500 students and 4,000 researchers from more than 120 different countries.
The Swiss Data Science Center (SDSC) is a joint initiative between EPFL, ETH Zurich and PSI. Its mission is to accelerate the adoption of data science and machine learning techniques within the ETH Domain academic disciplines, the Swiss academic community at large, and the industrial sector. In particular, it addresses the gap between those who create data, those who develop data analytics and systems, and those who could potentially extract value from it. The center comprises a multi-disciplinary team of data and computer scientists, and experts in select domains with offices in Zürich, Lausanne, and Villigen.

Your mission :

You will work on one of the SDSC’s industry 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
• Increase awareness of SDSC in the Swiss industry
• Presenting to a non-technical audience will also be part of your activities

Your profile :

• Master degree in Computer Science, Mathematics or similar fields
• Good knowledge of machine learning concepts; additional specific competences (e.g. time series analysis, generative AI, NLP, computer vision) a plus
• Ability to present to technical and non-technical audiences
• Open to collaborative work and show team spirit
• Excellent communication skills in English, knowledge of French highly appreciated
• Previous experience in companies or public sector/not-for-profit organizations is appreciated

We offer :

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

Start date :
As soon as possible

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). 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 [email protected]
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.

Reference :
Job Nb 3315

apply online