Data Scientist (m/f/d)

Our company works with large amounts of HR data (e.g., compensation information). The "Data Science and Data Management" team is responsible for the entire data processing workflow, from data collection to the creation of digital products. As part of the team, you will work on the entire data-driven value chain and contribute to the continuous development of our data-driven product portfolio.

• You will develop smart/automated data processing processes along the entire value chain (capture, storage, analysis and product creation).
• Together with our team, you will design digital processes and find clever solutions for complex issues.
• This way, you will work with us to build our digital products (e.g., the Kienbaum Compensation Portal) and continuously develop them further.
• Working in a team, you will program data processing workflows and implement smart algorithms. You will ensure clean, well-structured, and maintainable code so that it can be used in production.
• In this role, you will process and analyze large datasets from the field of HR (focusing on compensation data) to provide our products and services with quantitative insights.

• You have successfully completed your studies in business informatics, computer science, psychology, economics/business administration, natural sciences or a comparable field of study, or you possess an equivalent qualification (e.g. through vocational training with professional experience).
• You already have experience working with data. Professional experience is a plus.
• We use R. Ideally, you can use it too! Alternatively, you have very good knowledge of other programming languages ​​(for data analysis) such as Python, Matlab, or Stata.
• You have also already gained experience in relational databases and SQL.
• You enjoy taking on responsibility and are passionate about your topics. You want to shape and optimize.
• We require native-level German skills and fluent English skills for our project work.

Sustainable quality and knowledge sharing are extremely important to us! Therefore, we've established various formats to ensure this. For example, during our Quality Days, we regularly refactor our code. In other formats, we present the latest best practices to each other and implement them into our workflows. And above all, we prioritize having fun – in everything we do!