Top Data Science Jobs in Cologne

The role involves managing the end-to-end search experience, improving search relevance, collaborating with data teams, and building a roadmap for product development.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

Lead the acquisition strategy for iwoca in Germany, driving growth through data and technology. Manage a cross-functional team to optimize onboarding and engagement with SMEs.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

This dual study program in Business Informatics includes practical and theoretical training, working independently on SAP topics, and support from mentors throughout the studies.

The Senior Scientist, Data Science will lead data-driven and AI-based projects, developing ML models and MLOps workflows in the life sciences field.

The Senior Scientist, Data Science leads data-driven approaches, builds ML workflows, and manages cross-functional projects in life sciences.

The Senior Scientist, Data Science role focuses on developing predictive models and MLOps workflows for cell line development and upstream processes, collaborating with R&D and regulatory teams to support data-driven decision making.

The Graduate Program allows recent graduates to rotate through departments, participate in training, and work on real business cases while contributing to business solutions.

The Postdoctoral Scientist will analyze data from wearable sensors, develop digital biomarkers, improve AI algorithms, and collaborate with teams to deliver digital health solutions.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.