Data Scientist (a)

LUSTAT Statistik Luzern is the competence and service center for public statistics in the Canton of Luzern. The statistical office collects and analyzes data from the Canton of Luzern and its municipalities and makes this information available to the public in a user-friendly manner. Additionally, it offers individual, fee-based services. These include technical and methodological consultations, special evaluations, comprehensive presentations, scenarios, and model calculations. What you can look forward to • You will work on diverse statistical questions with direct benefits for the population, administration, politics, economy, science, and media, and will be in close exchange with specialists from different disciplines. You will work in an interdisciplinary environment with high data and methodological competence. • We are continuously developing our data processing and are increasingly relying on R, reproducible workflows, and modern development practices. You can actively help shape this development. • We are specifically expanding our development practices and increasingly relying 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. In doing so, you will also learn how technical possibilities can be reconciled with requirements for data protection and information security. • We support you in further developing your knowledge in statistics, software development, and data science. This includes internal and external further 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, and a modern workplace in the new building of the cantonal administration of the Canton of Luzern directly next to the Emmenbrücke station complement our offer. The "a" in the job title stands for "alle" (all). The Canton of Luzern stands for diversity and variety. Data Scientist (a) # 80% - 100% | Luzern ## Society, economy, and administration need reliable statistical foundations. LUSTAT Statistik Luzern collects, links, analyzes, and publishes data for the Canton of Luzern, its municipalities, and other public clients. Would you like to analyze demanding data, apply statistical methods in practice, and develop understandable data products from them that create concrete benefits in everyday life? For our Population, Economy and Space (BWR) team, we are looking for a technically savvy and curious personality who processes technical questions together with different specialists and develops reliable, traceable data science solutions from them. In the BWR area, we show how the population and economy are developing in the Canton of Luzern, how land and natural resources are used, and how public finances are presented. In doing so, we create comparable statistical foundations for monitoring and planning. Your tasks • You are responsible for at least one subject area technically and ensure representation for several others. • You answer inquiries and cover the information needs of the administration, population, parliament, media, and other interest groups. • Together with the specialists involved, you develop sound analyses and data products and accompany their technical implementation until productive use. • You develop reproducible data pipelines as well as statistical models and procedures and, together with the team, transform suitable approaches into reliably usable solutions to make data analyses transparent and traceable. • You develop structured and tested code, predominantly in R, and contribute to reusable packages and components. Git, code reviews, and automated tests are part of your daily development work. • You explore and assess data sources, pay attention to data quality and traceability, and communicate methods, assumptions, and results in an understandable way, 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 already independently implemented data analyses, data pipelines, models, or comparable data solutions. • You have sound knowledge of statistics, data modeling, and data quality. • You are very proficient in R and/or Python and can use them to develop structured, tested, and maintainable code. • You know the basic practices of professional software development. Git-based collaboration, code reviews, and automated tests are familiar to you. • You have experience in coordinating projects or in collaborating with different technical disciplines and stakeholders. • You work independently, carefully, and in a solution-oriented manner. You can structure complex technical and technical issues, adopt different perspectives, and communicate your results and decisions clearly. • You communicate with stylistic confidence in German. Your English skills enable you to handle technical documentation and international specialist literature confidently. Advantage • Knowledge of SQL and relational data modeling. • Knowledge of SAS or experience in dealing with existing SAS processes. • Initial 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