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2 jobs found in Karlsruhe

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Knuddels
27/04/2026
Full time
Senior Data Scientist (m/f/d) with management responsibility, part-time - remote or Karlsruhe
Knuddels 76133 Karlsruhe, Germany
At Knuddels, our goal is to make social networks truly social again – moving away from simply consuming content and towards genuine human connection. At Knuddels, everyone should find three important people in their real life. Our 100,000 members generate millions of events daily. Your task: Not only to analyze this data, but also to draw the right conclusions – and to ensure that data-driven insights reach the entire company and lead to concrete improvements. Why part-time?   We know there are outstanding data science professionals who can't or don't want to work full-time – whether due to family, further education, self-employment, or simply their life plans. For us, this isn't a compromise, but a conscious decision: we'd rather have the right person working part-time than the wrong person working full-time. Your tasks Hands-on data analysis & data science:   You analyze our complex data and extract valuable insights using data mining, clustering,...
LOG-HUB AG
27/04/2026
Full time
Data & Analytics Engineer (m/w/d)
LOG-HUB AG Karlsruhe, Germany
At Log-hub, we develop innovative and customized data, analytics, and AI solutions in the niche of supply chain and logistics. This empowers our customers to get more out of their data, creates transparency, and offers intelligent and modern decision support. We are a company with flat hierarchies, creative minds, and innovative technologies! Everyone can contribute and become an expert. Knowledge sharing and mutual support are key to our success. We're ONE Team with the motto HAVE FUN! Are you about to successfully complete your studies, or have you already graduated and are looking for the perfect entry point? Then we look forward to receiving your application. Your challenges Together with the client, you define the needs that are relevant for the data projects. You specify the technical aspects and implement data pipelines using modern technologies (Azure Cloud, Google Cloud, AWS, KNIME, etc.). You develop customized solutions with intelligent algorithms for...
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