Senior Data Scientist

WhatJobs; Zürich; Vor Ort; CHF 90’000 - 130’000; Vollzeit

Zusammenfassung

A leading national research institution in Switzerland is seeking a Senior Data Scientist to collaborate on innovative research projects across various fields. The ideal candidate will have a PhD and experience in machine learning, statistical data science, and more. The role involves managing projects, advising students, and contributing to scientific publications. The organization values work-life balance and fosters an inclusive culture.

Leistungen

Stimulating, collaborative environment

Valuing work-life balance

Opportunities for research publication

Supervision of student projects

Encouragement of innovation

Qualifikationen

• Holds a PhD in a relevant field.
• Practical experience applying machine learning models.
• Experience in interdisciplinary collaborations is desirable.
• Proficient in Python and PyTorch.

Aufgaben

• Managing data science projects with collaborators.
• Advising MSc students.
• Evaluating project proposals.

Kenntnisse

Machine learning

Statistical data science

Computer vision

NLP

Signal processing

Python

PyTorch

Ausbildung

PhD in machine learning, statistics, computer vision, NLP, signal processing, or optimization

Jobbeschreibung

Senior Data Scientist

The Swiss Data Science Center (SDSC) is a National Research Infrastructure jointly founded by EPFL and ETH Zurich, part of the ETH Domain. Its mandate is to support academic labs, hospitals, industry, and public sector stakeholders through their entire data science journey, from data collection and management to machine learning, AI, and industrialization. SDSC has a multidisciplinary team across Lausanne, Zurich, and Villigen, providing expertise in health sciences, energy, climate, and scientific infrastructures.

Project background

The SDSC Research team is seeking a Senior Data Scientist to collaborate on academic and public sector research projects. Visit our projects page for more information on our collaborations.

Job description

As a Senior Data Scientist, you will leverage your expertise in machine learning, statistical data science, computer vision, NLP, and signal processing to work closely with researchers and experts from academia and the public sector across various fields, such as health, environment, energy, and engineering. Your role includes analyzing data, developing algorithms, and translating scientific questions into data science solutions. You will collaborate actively with domain experts, implement algorithms, evaluate results, release open-source code, write research papers, and contribute to scientific communication.

Main duties include:

• Managing data science projects with academic and public sector collaborators.

You will also contribute to:

• Advising MSc students.
• Evaluating project proposals.

Profile

The ideal candidate:

• Holds a PhD in machine learning, statistics, computer vision, NLP, signal processing, or optimization.
• Has practical experience applying machine learning models to real-world problems.
• Experience in interdisciplinary collaborations and applications is desirable.
• Proficient in Python, PyTorch, and familiar with modern models and architectures.

We offer

• A stimulating, collaborative environment within a leading research institution, working with a diverse team of 40 data scientists from over 15 countries.
• Valuing work-life balance.
• Opportunities to publish research in top journals and conferences.
• Supervising student projects.
• Encouraging innovation and learning new technologies.
• An inclusive culture promoting diversity and equal opportunity.

Application process

Please submit your application online with a motivation letter, references, and other relevant documents. Applications via email or postal service are not accepted. For more information, visit our website or contact Guillaume Obozinski or Mathieu Salzmann for inquiries (no applications). The pre-selection is conducted by recruiters, not AI. ETH Zurich's GTC applies. ETH Zurich is a top university in science and technology, committed to excellence and societal impact, welcoming a diverse community of scholars and students from around the world.