Data Scientist
ETH Zürich
Zürich, Switzerland
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English, German Experience level
SeniorJob location
Zürich, Switzerland
Tech stack
Artificial Intelligence
Computational Linguistics
Computer Programming
Information Engineering
Information Sciences
Python
Machine Learning
NoSQL
SQL Databases
Information Technology
Free and Open-Source Software
Data Management
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
Requirements
- 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)
Benefits & conditions
- 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
chevron_right Working, teaching and research at ETH Zurich
About the company
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.