Luzern
Data Scientist (a)
- 21 August 2026
- 80 – 100%
- Permanent position
- German (Intermediate)
About the job
Society, economy and administration require reliable statistical foundations. LUSTAT Statistik Luzern collects, links, analyses and publishes data for the canton of Lucerne, its municipalities and other public clients. Would you like to analyse demanding data, apply statistical methods practically and develop understandable data products that create concrete benefits in everyday life?
For our Population, Economy and Space (BWR) team, we are looking for a technically skilled and curious person who works on professional questions together with different specialists and develops reliable, comprehensible data science solutions. In the BWR area, we show how the population and economy in the canton of Lucerne develop, how land and natural resources are used and how public finances present themselves. This creates comparable statistical foundations for monitoring and planning.
Your tasks
- You are professionally responsible for at least one subject area and ensure representation for several others.
- You answer enquiries and cover information needs of administration, population, parliament, media and other interest groups.
- You develop well-founded analyses and data products together with the involved specialists and accompany their technical implementation until productive use.
- You develop reproducible data pipelines as well as statistical models and methods and transfer suitable approaches together with the team into reliably usable solutions, to make data analyses transparent and comprehensible.
- You develop structured and tested code, mainly in R, and contribute to reusable packages and components. Git, code reviews and automated tests are part of your daily development work.
- You access and assess data sources, pay attention to data quality and traceability and communicate methods, assumptions and results understandably also to non-technical stakeholders.
Your profile
- You have a master’s degree in data science, computer science, statistics, mathematics, economics, computational science or a comparable quantitative field.
- You have practical experience in data science, data engineering or scientific software engineering and have independently implemented data analyses, data pipelines, models or comparable data solutions.
- You have sound knowledge of statistics, data modelling and data quality.
- You are very proficient in R and/or Python and can develop structured, tested and maintainable code with them.
- You know fundamental practices of professional software development. Git-based collaboration, code reviews and automated tests are familiar to you.
- You have experience in coordinating projects or working with different disciplines and stakeholders.
- You work independently, carefully and solution-oriented. You can structure complex professional and technical matters, take up different perspectives and communicate your results and decisions understandably.
- You communicate confidently in German. Your English skills enable you to handle technical documentation and international specialist literature with confidence.
- Knowledge of SQL and relational data modelling.
- Knowledge of SAS or experience with existing SAS processes.
- First experience with productively operated data pipelines, package development, CI/CD or comparable data science engineering practices.
- Experience with data and processes of public statistics or comparable regulated data environments.
Your employer
- You work on diverse statistical questions with direct benefits for the population, administration, politics, economy, science and media and are in close exchange with specialists from different disciplines. You work in an interdisciplinary environment with high data and methodological competence.
- We continuously develop our data processing and increasingly rely on R, reproducible workflows and modern development practices. You can actively help shape this development.
- We are deliberately expanding our development practices and increasingly rely on Git, code reviews, automated tests, reproducible processes and CI/CD.
- Open-source solutions and on-premises operation play an important role in our technical environment. You will also learn how to reconcile technical possibilities with data protection and information security requirements.
- We support you in further developing your knowledge in statistics, software development and data science. This includes internal and external training as well as professional exchange and practical work on productive data solutions.
- Flexible annual working hours, up to three days of home office per week, a modern workplace in the new building of the cantonal administration of the canton of Lucerne directly next to Emmenbrücke station complement our offer.