Data science állások Németországban (it programozás, fejlesztés)

Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26's product and business goals....

• Conduct independent research at the intersection of data science and public policy with a focus on ML/AI, causal inference, and/or computational methods;
• Collaborate with faculty and Data Science Lab members on joint research projects;

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

Implement and maintain the core software platform for self-driving lab systems, including the service layer, internal APIs, and data flow between subsystems...

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

• As a Senior Data Scientist you will act as a mentor and trainer, helping to build and share knowledge across the organization.
• You will be responsible for developing and conducting expert training programs, including direct training sessions and project-based mentoring.

Where you belong: Where you belong: ...

• Conducting tests as part of the software development lifecycle (SDLC), particularly during the initiation and feasibility phases
• Documenting processes, test results and relevant work steps

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

• Conceptualizing secure workflows for international submission of sensitive medical imaging data
• Defining architectural concepts for the benchmarking and evaluation platform, including controlled and secure execution of externally submitted models

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

Support the Lead PM in defining and maintaining the global AI product roadmap for Health Information Systems, ensuring alignment with corporate strategy and market needs....

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.

• FPGA implementation of signal processing and control algorithms for RF applications
• Configuration optimisation for AMD RFSoC-based high‑precision hardware platforms
• Analysis, design, verification, documentation and maintenance of Low Level RF and Multi Bunch Feedback systems

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements

• Integration and programming of robotic manipulators (e.g. UR, Franka, or similar collaborative arms) and motion systems (e.g., gantries) in real operational environments
• Sensor integration and closed-loop feedback control, including force/torque sensing, vision systems, and real-time error detection

• Familiarize yourself with state-of-the-art methods in reliability modeling
• Develop modeling approaches for load-driven degradation data
• Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account

Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)...

• You will build customized automation solutions for ZEISS customers that need support for special light microscopy applications.
• Typically, these solutions encompass a completely automated light microscopy workflow from image acquisition to the image analysis.