> Markdown version of [/jobs/ext/3832782-data-scientist-all-genders](https://www.wearedevelopers.com/jobs/ext/3832782-data-scientist-all-genders). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist (all genders) - **Company:** Kaufland - **Location:** Düsseldorf, Germany (Remote available) - **Contract:** Permanent contract - **Skills:** A/B Testing, Python (Programming Language), Standard Sql, Systems Integration, Datadog, Delivery Pipeline, Claude Code, Generative AI, Kubernetes, Apache Kafka - **Published:** October 19, 2026 - **Apply:** https://www.adzuna.de/details/5934131956 ## About the Role * You have extensive knowledge of the data science toolbox which includes picking the right methodology for the appropriate problem * Excellent Python and SQL skills are the foundation of your technical craft; you also have experience integrating agentic coding workflows (e.g., Claude Code) into daily development, testing, and refactoring routines * A proactive mindset and the ability to translate complex business problems into high-impact technical solutions define your working style * You are familiar with modern infrastructure tools like Kafka, Kubernetes, or Datadog and have production experience in a cloud environment (ideally GCP) * For our product data position, we specifically look for: + Experience shipping complex ML classifiers and NLP services + Experience shipping large scale GenAI applications * For our AdTech position, we specifically look for: + Experience with ranking, relevance, and/or bidding and pricing (cost-per-click) prediction models + Experience measuring business impact with A/B tests * For our GenAI Evals focussed position, we specifically look for: + Experience with customer facing GenAI applications evals platform + Deep expertise in evaluation and metric design to measure novel products * Bonus points if you're familiar with concepts such as architecture as code, complex deployment pipelines and have experience translating cutting edge research into data science products * You are fluent in English (C1) and enjoy working in a dynamic, international environment