Senior Data Scientist 100%, Zurich, fixed-term
ETH Zürich
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Senior Data Scientist
100%, Zurich, fixed-term
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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. With a large multidisciplinary team
of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to
various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and
large-scale scientific infrastructures.
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.
Job description
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. You will help them identify how to analyze or model their data
to answer precise scientific questions or develop algorithms that perform automatically some challenging tasks.
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.
You will also contribute to:
- Advising MSc Students.
- Evaluating project proposals.
Profile
The ideal candidate:
- 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.
- Has Experience in interdisciplinary collaborations and of real-world applications is desirable.
- Is proficient in Python, PyTorch, and familiar with state-of-the-art models and architectures.
Workplace
Workplace
We offer
- 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. We all work towards applying and
developing novel ML methods to solve real-world problems.
- We value work-life balance.
- You will be able to publish your research in collaboration with experts from different fields in top-ranked journals
and conferences.
- You will have the opportunity to help supervise student projects.
- We encourage experimentation and creativity by actively promoting learning of new technologies and approaches on the
job.
- Your opinion will always matter.
chevron_right Working, teaching and research at ETH Zurich
We value diversity
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value
diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students
are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open
environment that allows everyone to grow and flourish.
Curious? So are we.
We look forward to receiving your online application with the following documents:
- Motivation letter
- cv
- References, Etc.
Please note that we exclusively accept applications submitted through our online application portal. Applications via
email or postal services will not be considered.
Further information about the Swiss Data Science Center can be found on our website.
Questions regarding the position should be directed to Guillaume Obozinski (guillaume.obozinski@sdsc.ethz.ch) or
Mathieu Salzmann (mathieu.salzmann@epfl.ch) (no applications).
We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial
intelligence.
For recruitment services the GTC of ETH Zurichapply.
About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000
people from more than 120 countries find our university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we
work together to develop solutions for the global challenges of today and tomorrow.
About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000
people from more than 120 countries find our university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we
work together to develop solutions for the global challenges of today and tomorrow.
100%, Zurich, fixed-term
print Drucken
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. With a large multidisciplinary team
of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to
various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and
large-scale scientific infrastructures.
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.
Job description
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. You will help them identify how to analyze or model their data
to answer precise scientific questions or develop algorithms that perform automatically some challenging tasks.
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.
You will also contribute to:
- Advising MSc Students.
- Evaluating project proposals.
Profile
The ideal candidate:
- 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.
- Has Experience in interdisciplinary collaborations and of real-world applications is desirable.
- Is proficient in Python, PyTorch, and familiar with state-of-the-art models and architectures.
Workplace
Workplace
We offer
- 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. We all work towards applying and
developing novel ML methods to solve real-world problems.
- We value work-life balance.
- You will be able to publish your research in collaboration with experts from different fields in top-ranked journals
and conferences.
- You will have the opportunity to help supervise student projects.
- We encourage experimentation and creativity by actively promoting learning of new technologies and approaches on the
job.
- Your opinion will always matter.
chevron_right Working, teaching and research at ETH Zurich
We value diversity
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value
diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students
are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open
environment that allows everyone to grow and flourish.
Curious? So are we.
We look forward to receiving your online application with the following documents:
- Motivation letter
- cv
- References, Etc.
Please note that we exclusively accept applications submitted through our online application portal. Applications via
email or postal services will not be considered.
Further information about the Swiss Data Science Center can be found on our website.
Questions regarding the position should be directed to Guillaume Obozinski (guillaume.obozinski@sdsc.ethz.ch) or
Mathieu Salzmann (mathieu.salzmann@epfl.ch) (no applications).
We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial
intelligence.
For recruitment services the GTC of ETH Zurichapply.
About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000
people from more than 120 countries find our university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we
work together to develop solutions for the global challenges of today and tomorrow.
About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000
people from more than 120 countries find our university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we
work together to develop solutions for the global challenges of today and tomorrow.