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Senior Data Scientist

100%, Zurich, permanent

The ETH Library promotes knowledge, supports research and teaching and, as a credible institution, makes the world of yesterday, today and tomorrow more comprehensible for you. The Research Analytics Service group, hosted by the section Research Support Services and Acquisitions, is hiring a Senior Data Scientist. The position is to be filled on 1 June 2026.

Job description

As a member of the Research Analytics Service group, you will conduct and provide scientometric analyses and consulting to the researchers, departments, and the executive board of ETH Zurich, and communicate results in a transparent, decision-relevant way
You proactively clarify requirements, take ownership of projects from joint planning to delivery (including documentation and handover) and collaborate closely with other ETH Zurich units and beyond
You strengthen the service by designing, improving and maintaining reproducible workflows in close collaboration with other units of the ETH Zurich
With a service-oriented and improvement-driven mindset, you and the team will contribute to the continuous development of innovative, data-driven approaches and projects in the context of open data and scientometrics

Profile

Background

Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage
Regardless of academic background, the ideal candidate also possesses information science or library science competencies. Research experience or in-depth knowledge of science communication is also an asset

Technical & analytical skills

Strong programming skills (ideally Python) and commitment to clear, reproducible, well-structured code
Working knowledge of SQL and/or NoSQL databases (and motivation to deepen your expertise)
Strong analytical thinking with a structured, quality-focused approach to data and methods.
Ideally, experience in one or more of the following: data engineering, building data-driven apps, computational linguistics, machine learning/AI, dashboarding, creating/maintaining datasets, contributing to open source software, digital humanities, data management systems

Scientometrics & research evaluation interests

Experience with scientometric/bibliometric analyses or strong motivation to grow in research assessment methods
Interest in scholarly communication, open science/open data, and the Swiss research landscape

Project delivery & service mindset

Proven ability to drive projects proactively: clarifying needs with stakeholders, structuring work, managing priorities, and delivering results
Strong service orientation: you enjoy enabling others and translating questions into actionable analyses
Clear communicator who can explain methods, limits, and insights effectively in writing and in discussions with diverse audiences

Languages

Fluent in English and German (written and spoken)

We also encourage candidates who do not meet all requirements to apply.

Workplace

We offer

Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits

We value diversity and sustainability

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. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application with the following documents:

Cover letter
CV
copies of relevant certificates

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 can be found on our website. Questions regarding the position should be directed to Dr David Johann, email: [email protected] (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 Zurich apply.

Tags & focus areas

Used for matching and alerts on DevFound

Fulltime Data Science Ai