Data science állások Németországban (it tanácsadó, elemző, auditor)

• Design, develop, and operate reporting solutions for Procurement on our Data Lake - together with our team
• Take end-to-end responsibility for your reporting products: connecting data sources, developing and optimizing complex ETL pipelines, and modeling data according to a star schema

Where you belong: Where you belong: ...

• Own the implementation of our Product Analytics strategy and bring the Business Insights vision to our product areas.
• Act as a strategic partner in our product discovery streams, deriving data-driven recommendations for product decisions.

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

• Put a focus on IT/digital project assignments & become part of the digital transformation of aviation
• In the trainee program, you have the chance to focus on IT & digital projects & work on forward-looking solutions with high technological & strategic relevance

• You advise and support business units throughout their digital transformation journey and identify automation potential.
• You develop and implement automation solutions based on UiPath.
• You design and realize agentic AI solutions that independently analyze processes, make decisions, and act.

• You will contribute to improving our foundation recommender system
• Your role involves exploring and evaluating new machine learning methods, including applications of LLMs for recommender systems
• Expect to support personalized CRM communications (push notifications, in-app messages, newsletters)

• Support of the modules MM, PP, and EWM
• Management of various add-ins within the SAP modules
• Definition and documentation of business processes in MM, PP, and EWM
• Support for Key Users in the departments at our sites and subsidiaries

• Analyzing customers' existing landscape from the technology perspective and provide transformation recommendations based on the findings
• Preparing outside-in target architecture based on available guidance and best practice recommendations to accelerate the scoping discussion with the customer

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.

- Acquisition and conversion of textual corpora from diverse sources into a shared TEI schema - Refinement of the shared TEI schema and documentation as a TEI customization (ODD) - Supporting full-text digitization via OCR/HTR pipelines - Management of image collections - Modeling metadata for text...

• Holistic support for SAP implementation, digital transformation and cloud transition projects
• Creation of business process design, architecture, scalability, security, and operations concepts for SAP solutions
• Knowledge transfer as part of training and project support from customers and partners

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• It must provide a clear and structured executive-level overview of company performance.
• It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.
• Integration into our team - not just "the student".

Data Engineering: You design, build, and maintain scalable, resilient, and secure data pipelines, ensuring high-quality data flows and operational stability across the platform....

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

• Conduct empirical and theoretical interdisciplinary research on legal question answering in German laymen questions
• Design and execute state-of-the-art NLP experiments and user studies
• Independently analyze qualitative and quantitative data

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases