AUTO1 Group

Data Scientist

AUTO1 Group

full-time

Posted on:

Origin:  • 🇩🇪 Germany

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudKerasPythonPyTorchSQLTensorflow

About the role

  • We are seeking a technically skilled and passionate Mid-Level/Senior Data Scientist with expertise in advanced machine learning methods to join our international and dynamic Data Science Department at AUTO1 Group Technology. AUTO1 Group is Europe's leading digital automotive platform. We revolutionise the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com. You will shape the next generation of data-driven inventory selection solutions that power all stages of our business, from retail to dealer networks. Designing and evolving advanced modeling approaches, exploring scalable architectures, and building a versatile library of machine learning algorithms that address complex challenges and deliver measurable impact. Develop flexible, high-impact solutions to optimize the sourcing and inflow of second-hand vehicles, driving end-to-end processes—from researching to prototyping and deploying scalable models that enhance our inventory pipeline. Partner with engineering and product teams to deploy Data Science services and embed them in the Auto1 tech infrastructure. Monitor model performance in production, share results with stakeholders and develop actionable next steps. Identify business opportunities and collaborate with stakeholders and partners in tech to drive growth. Set priorities and support junior members to achieve project goals.

Requirements

  • Hands-on experience with a broad range of machine learning techniques and the ability to select and adapt the most appropriate approach for complex, real-world scenarios Experience with advanced modelling techniques, knowledge of pytorch, keras and tensorflow is a plus. Proficiency in SQL and Python with coding best practices and code reviews in git/github Experience in deployment in AWS/Azure/Google Cloud and CI/CD pipeline tools Proficiency in the full lifecycle of data science projects, including initializing/designing, developing (building the model), and deploying models in production (full stack) Strong communication skills to effectively present findings in a clear and unambiguous way