(Junior) Data Scientist

About us

prenode has evolved from academic data science projects to a KIT spin-off that develops cutting-edge AI software inspired by innovative research. We help to scale AI effectively across organizational boundaries without revealing raw data at any time.

We enable companies that face analytical challenges to create AI models in the local environments of their products without exchanging local data. By leveraging our Decentralized Machine Learning technology, they are able to incorporate stronger performing models more efficiently – without the necessity of large training data sets.

Our young and dedicated team consists of a mix of professionals, former researchers, and graduates. We all are keen to boost AI development while maintaining high standards in both data privacy and the use of latest tools and technology. To achieve this, we practice a flexible and modern working culture to make use of the spectrum of possibilities in the digital environment.

We have a proven track record of research excellence and successful projects and work together to form a dynamic and ambitious team spirit. For our journey to the top of collaborative AI development, we want to extend our team with talented and driven individuals.

Your Tasks

• Create value for our customers based on data
• Data cleaning and structuring
• Descriptive analysis of data
• Visualize and present data and insights in an appealing manner
• Create and test machine learning models
• Transfer machine learning models across data sets

What we offer

• A dynamic and ambitious environment that guarantees you a steep learning curve and the possibility for growth
• A flexible and modern working culture that gives you the advantages of today’s digital possibilities and tools
• Innovative new technology and approach that ensures your everyday work is purposeful and impactful
• A fun and committed team that wants to collaborate and learn from each other

Your Profile

• Degree in computer science, information systems or similar
• Analytical thinking and creativity by finding hidden gems in data
• Preferably academic background in data science or quantitative research
• Experience with Python and SQL
• Profound knowledge in machine learning
• Practical experience with visualizing data
• Interest and ability to learn other coding languages as needed

What we value

• Innovation. We love technology and the new possibilities it enables.
• Happiness and growth. We seek an environment in which everyone has a good time and can develop its full potential.
• Data privacy. We believe great advancements in AI and data privacy can go along.