Data Scientist; W​/M

Data Scientist (W/M) About the Swiss Data Science Center (SDSC)

The Swiss Data Science Center (SDSC) is a national research infrastructure of the ETH domain in data science and artificial intelligence (AI), with EPFL and ETH Zurich as founding partners. Its mandate 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 across domains such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructure.

The candidate will be integrated into a dynamic and rich environment, with people from different fields and expertise, and will be part of SDSC's Research team. The Research team at SDSC comprises more than 35 data scientists, seeking to apply novel AI/ML methods to solve real-world problems in the academic and public sectors.

See (Use the "Apply for this Job" box below). for an idea of some of our academic research collaborations.

As a Data Scientist working in the Research team of the Swiss Data Science Center, you will help researchers and other collaborators in academia or the public sector in Switzerland to leverage state‑of‑the‑art Machine Learning and AI methods. These collaborators encompass various fields and carry out projects involving diverse data (tabular, textual, visual, potentially multi‑modal), notably in health and biomedical sciences, climate and environment, energy and sustainability, and social sciences.

This typically involves exchanging actively with collaborators and domain experts to understand the precise desiderata of the project, determining which approaches, formulations, and models are most effective to achieve the desired goals, implementing the corresponding algorithms, performing the evaluation hand‑in‑hand with collaborators, and releasing open‑source code and writing research papers when appropriate.

• Working on data science projects with collaborators from the academic and public sector
• Engaging with diverse stakeholders, in particular researchers across various domains and other professionals
• Preparing scientific publications for top‑tier domain conferences and journals in collaboration with Senior Data Scientists
• Potentially supervising students at different levels in collaboration with Senior Data Scientists

• MSc in a Data Science‑related field, or in Computer Science with a strong background in Machine Learning and AI
• Experience in designing/selecting and training Machine Learning models for different types of data, including tabular, textual, visual, and potentially multi‑modal
• Proficiency in Python and Py Torch
• Experience in applying data science and AI in interdisciplinary research or industrial collaborations
• Creative mindset and good concrete problem solving skills

Work environment:

• A stimulating, dynamic, diverse, and cross‑disciplinary environment
• Nice offices located on the EPFL and on the Biopole campuses
• Opportunities to broaden your expertise in ML and AI targeted to diverse application domains
• Collaborations with experts in both Data Science and domain sciences
• Opportunities to publish contributions to research projects in high‑impact venues
• Possibility to travel and present work in international venues