The Swiss Data Science Center (SDSC) is a National Research Infrastructure jointly founded by EPFL and ETH Zurich and part of the ETH Domain. Its mandate is to support academic labs, hospitals, the 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. Project background

For SDSC's Research team we are currently looking for a Senior Data Scientist. The Research team is responsible for research collaborations in the academic and public sector.

Please visit our team's projects page for more info on some of our academic research collaborations.

As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural language processing, and signal processing to work closely with researchers, experts and other collaborators from academia or the public sector in Switzerland, working in various fields, such as health and biomedical sciences, climate and environment, energy and sustainability, physical and engineering sciences, and digital society. This typically involves exchanging actively with collaborators and domain experts to understand the precise desiderata of the project, translating them into data science terms, determining which approaches and formulations are most effective to achieve the desired goals, implement the corresponding algorithms, perform the evaluations hand-in-hand with the domain experts, and eventually release open-source code and the associated documentation, write research papers or technical reports as appropriate, and contribute to the communication of the results.

Main duties and responsibilities of a Senior Data Scientist at SDSC include :

~ Working on data science projects with collaborators from the academic and public sector.

Evaluating project proposals.

Holds a PhD in machine learning, statistics, computer vision, natural language processing, signal processing, or optimization.

Has practical experience in using machine learning models in concrete applications.

Is proficient in Python, PyTorch, and familiar with state-of-the-art models and architectures.

A stimulating, collaborative, cross-disciplinary environment in a world-class research institution, where you will be part of a team of 40 data scientists from more than 15 different countries. You will have the opportunity to help supervise student projects.

Further information about the Swiss Data Science Center can be found on our website .

science and technology. We are renowned for our excellent education,

Nice-to-have skills