JOBS

Data Scientist – Industry Projects (W/M)

You will work on solving challenges with our industry partners. You will be involved in all aspects of a data science research project, from business understanding to proof of concepts and communication of achievements. You will design and test machine learning systems to solve industry challenges. Presenting data science results to a non-technical audience will also be part of your activities.

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.

 

LOCATION: LAUSANNE

PRIVACY AND SECURITY EXPERT

EPFL and ETH Zurich are seeking enthusiastic and experienced candidates with scientific IT expertise and a proven track record in and around data centric security on large-scale distributed platforms, services and applications, to staff up their national R&D Swiss Data Science Center. The ideal candidate will join a team of computer scientists toward building the Swiss Data Custodian, a secure multiparty privacy-preserving computing platform. In this role, you will help in the design and participate in the implementation of the solution.

 

LOCATION: LAUSANNE

DATA SCIENCE ENGINEER

In this role, you will act as an enabler of data science activities within the research community from the ETH domains, Swiss universities, and the industry. You will liaise with data providers, data scientists, domain scientists, and industry partners to understand their goals, gather requirements, implement the solutions, and ensure the knowledge transfer between the stakeholders.

 

LOCATION: LAUSANNE

SENIOR DATA SCIENTIST

FOR PRECISION MEDICINE APPLIED TO CANCER

The EPFL Laboratory of Virology and Genetics (LVG), headed by prof. Didier Trono, and the Swiss Data Science Center (SDSC) are looking for a Senior Data Scientist with sound experience in Machine Learning techniques to work on cancer research
related projects.

 

The LVG is part of the EPFL School of Life Sciences and offers a challenging and stimulating environment with outstanding career opportunities and excellent benefits, while SDSC is a multi-disciplinary team of Senior Data Scientists whose mission is to accelerate the use of data science and machine learning techniques within the ETH Domain, the Swiss academic community, and the industrial sector.

 

LOCATION: LAUSANNE AND GENEVA

DATA SCIENTIST – INDUSTRY PROJECTS

Are you passionate about data science, familiar with Machine Learning and keen to deepen your experience on the topic? Are you willing to solve industry challenges while being coached by experienced data scientists? You’d love to work in a start up like mind-set, but think that collaborating with an academic structure is a definite plus?

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. We are building a team of passionate data scientists to tackle business challenges and provide actionable results.

LOCATION: LAUSANNE

There are currently no open positions in Zurich.

SENIOR DATA SCIENTIST

In this role, you will apply your practical experience in mining, cleansing, and analyzing messy data, your deep understanding of data science algorithms, and your willingness to write code to explore problems and understand data, all while solving challenging real-world problems at large scale. You will work hand-in-hand with experts (academics and from the private sector) in domains ranging from personalized health and personalized medicine, Smart / Future cities – in particular transportation and energy – earth and environmental science, smart manufacturing, computational social science and economics, and digital humanities.

 

LOCATION: LAUSANNE

 

DATA SCIENTIST

FOR AVALANCHE HAZARD PREDICTION

The WSL Institute for Snow and Avalanche Research SLF and the Swiss Data Science Center (SDSC) are looking for a
Data Scientist with sound experience in Machine Learning techniques to work on avalanche hazard prediction.

The SLF is part of WSL and hence of the ETH Domain offers a challenging and application-oriented research environment
in mountain town, while SDSC is a multi-disciplinary team of Senior Data Scientists whose mission is to accelerate the
use of data science and machine learning techniques within the ETH Domain,
the Swiss academic community, and the industrial sector.

LOCATION : DAVOS

SENIOR SOFTWARE ENGINEER

SOFTWARE ENGINEER POSITIONS WILL BE ADVERTIZED SOON. STAY TUNED!

DATA SCIENCE ENGINEER

EPFL and ETH Zurich are seeking enthusiastic and experienced candidates with scientific IT expertise and a proven track record in and around data science and analytics on large-scale distributed platforms, services and applications, to staff up their national R&D Swiss Data Science Center. The ideal candidate will be part of the Swiss Data Science Center and will act as an enabler of data science activities within the research community from the ETH domains, Swiss universities, and the industry. In this role, you will liaise with data providers, data scientists, domain scientist, and industry partners to understand their goals, gather requirements, implement the solutions and ensure the knowledge transfer between the stakeholders.

LOCATION: LAUSANNE

SENIOR SOFTWARE ENGINEER

In this role, you will be contributing to the development of RENKU, the platform for enabling reproducible, reusable and shareable data science developed at the Swiss Data Science Center. We are looking for a full-stack developer with experience in creating RESTful and event-based microservices. In addition, an interest in Open Science/Open Data and experience with Linked Data standards is a plus.

LOCATION: ZURICH

FRONTEND WEB DEVELOPER

In this role, you will be primarily developing the web user interface of RENKU, the platform for enabling reproducible, reusable and shareable data science developed at the Swiss Data Science Center. We are looking for a front-end developer with experience in applying the classic web stack (HTML/CSS/JS). In addition, previous exposure to frameworks such as React.js and an interest in browser based data visualization (D3.js) is a plus.

 

LOCATION: ZURICH