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Data Scientist (m/w/d)

Landeshauptstadt Stuttgart

flexible Part-time Today

About the role

About

The Statistical Office is the competence center and central service provider for data, analyses, and elections within the city administration. We advise the departments of the State Capital Stuttgart on statistical issues and implement data projects with them. These range from data evaluations and analyses using modern statistical methods to data visualization using dashboards and cover the entire spectrum of the city administration.

A Job That Excites You

  • You will support and advise departments on data science issues and develop data-based business intelligence solutions for decision support; you will independently be responsible for the conception and model building of data analysis using methods of statistics and machine learning.
  • You will realize visualizations, especially using dashboards (with R Shiny) and automated reports (with R Quarto/Markdown).
  • You will also advise on data engineering, including how data sources can be identified, connected to different platforms, and automatically prepared.
  • You will contribute to building data competence within the city administration and participate in the conception and execution of further training.
  • You will conduct your own data analysis projects and publish scientific contributions in the office's own publication series.
  • You will also be jointly responsible for all data related to mobility within the Statistical Office.
  • Changes or additions to the scope of duties are subject to change.

Your Profile That Fits Us

  • Completed scientific university studies (Master's or Diploma) in Data Science, Statistics, Computer Science, or a comparable field.
  • Comprehensive experience in data preparation, modeling, and visualization, methods of inductive statistics, machine learning, and econometrics in a municipal context.
  • Proven, confident use of the statistical software R, especially the packages Shiny and Quarto/Markdown.
  • Knowledge of SQL, databases, and API interfaces is an advantage.
  • Passion for data and numbers, the ability to think outside the box, enjoyment of learning new things, and the ability to familiarize yourself with the subject matter of the diverse specialist areas of the State Capital Stuttgart.
  • Very good oral and written communication skills in German (at least level C1) and the ability to understand English-language teaching materials.

Our Benefits at a Glance

Because safety and appreciation count:

  • Stuttgart allowance for tariff employees
  • Transparent remuneration according to TVöD
  • Respectful and appreciative corporate culture

Work-Life-Balance:

  • Flexible working time models and the possibility of working partially remotely or from home
  • Health management and sports activities

Growing Together:

  • Personal and professional development through our Education Campus

Environmentally Friendly Travel:

  • A subsidy for the Deutschlandticket

Small Extras That Make a Big Difference:

  • Subsidized lunch
  • Discounts and offers via Corporate Benefits

We offer you a position in pay group 13 TVöD.

Still have questions? For more information about the role, please contact Michael Naber at 0711 216-98566 or michael.naber@ . For personnel-related questions about the process, please contact Claudia Tritschler at 0711 216-98561 or claudia.tritschler@ .

You can find all further information about our diverse career opportunities at .

Interest piqued? Please send your applications by 10.05.2026 to our online application portal at . If online application is not possible, you can send your paper application, stating the reference number 12/0004/2026, to the Statistical Office of the State Capital Stuttgart, Eberhardstraße 37, 70173 Stuttgart, Germany. We look forward to your application.

We welcome applications from severely disabled people and those with equivalent status; they will be given priority if they are suitably qualified. Part-time work is possible for all positions unless otherwise stated in the advertisement.

Skills

APIData EngineeringData ScienceData VisualizationDatabasesInformatikMachine LearningMarkdownÖkonometrieRR ShinyR QuartoSQLStatistik

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