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.

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.

Data Scientist – Industry Projects (w/m, 100%)

As a Data Scientist in our industry team, you will:

• Design and test machine learning systems to solve industry challenges, and
• Be involved in all aspects of a data science research project, from business understanding to proof of concepts and communication of achievements.

More specifically, in this role you will:

• Meet customers in order to understand their business needs and design specific data science solutions to solve selected problems.
• Code and test the proposed solution (PoC), communicate results to stakeholders and provide final reports of the work done and related results.
• Present data science results to other non-technical audiences on occasion.

We are a looking for candidates (w/m) with the following profile:

• Master degree in Computer Science, Mathematics or similar field (Ph.D. a plus)
• Ability to present results to different audiences
• Knowledge of machine learning concepts and programming skills in Python, R or a similar language
• 1-3 years of data science experience within Industry is highly appreciated
• Fluency in English (French/German is an asset).
• Openness to collaborative work, eagerness to learn new concepts and methods, willingness to contribute to an inclusive environment.

We offer :

• During your work, you will have the opportunity to be coached by data scientists with an academic background as well as industry experts.

• When dealing with data engineering aspects, you will have the opportunity to collaborate with our system specialists.
• The academic environment will allow you to grow your machine learning and statistics skills thanks to trainings.

Start date :
April 1st, 2021

Term of employment :
Fixed-term (CDD)

Duration :
1 year renewable

Contact :
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.

For further information about the Swiss Data Science Center please visit our website www.datascience.ch.
Questions regarding the position should be directed to Ms. Mylène Tressens by email mylene.tressens@epfl.ch (no applications).

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