Senior data analyst állások Külföldön (it programozás, fejlesztés)

As a Cloud Architect & Advisor (CAA), you will be responsible for the private cloud technical foundation of RISE with SAP and Business Data Cloud (BDC) engagements. The CAAs' mandate spans the initial sales cycle, subsequent change requests and renewal events for private cloud architecture changes....

• Model DevelopmentDesign and build MVDA models for Drug Substance manufacturing processes.
• Responsible for the end-to-end technical creation of the model structure.
• Data Pre-processing & CurationApply rigorous data modeling techniques.

• help our business units to migrate data into our SAP landscape and increase the quality level of Data in ERP, CRM, MDG and other systems
• leverage and enhance migration tools and use them to identify and correct/update data discrepancies
• convert and transfer data into our core systems

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

Partner with senior stakeholders to quantify the value proposition of cutting-edge legal tech solutions and design innovative pricing methodologies that unlock new revenue streams while maintaining healthy margins....

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

Analyze business require­ments and processes in the sales domain of a globally operating industrial insurer to support our inter­national digitali­zation strategy...

• Design and build, and maintain cloud architectures for scalable, robust AI/GenAI applications across platforms (web, mobile, desktop).
• Leverage cloud-native services to ensure optimal performance, availability, security, and cost efficiency.

• Support the team in designing and developing an internal dashboard to visualize real-world data from diabetes care
• Explore, define, and implement selected dashboard use cases; actively contribute to deciding which use cases provide the most value

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

• Developing and deploying AWS IoT–based data logging pipelines to collect and manage sensor and device data
• Designing and implementing data processing workflows and machine learning models using AWS SageMaker

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

Work closely directly with the CDO directly to design and run transformational programs from tech solutions to communication to training and everything else that is needed to get things done...

Agentic AI (incl. RAG, Retrieval Augmented Generation) applications implementation: Design, implement and maintain Agentic AI applications to support various areas of Octapharma's core business (such as Manufacturing Science and Technologies, Research & Development, Sales)...

- Collaborate with the research team on various AI/ML projects, contributing to the development and implementation of innovative solutions. - Design, train, and optimize AI models using frameworks such as PyTorch and TensorFlow. - Collect, preprocess, and analyze data required for training AI...

• Develop Linux based machine platform and application software architectures from the first idea to series production and operation
• Contribute to our global machine control and connectivity platform
• Design and implement embedded machine application and connectivity software components

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

• Model and transform data using SQL to build clean, well-structured data models that form a reliable foundation for reporting, analytics, and data science.
• Build and maintain dashboards and automated reports that present data clearly and enable stakeholders to independently access insights.

• Develop, test, deploy, and monitor scalable filter pipelines and transformation processes that extract relevant metrics and features from billions of events.
• Data management in a Data Lake.
• Collaborate with data scientists and software developers to optimize and scale high-performance ML models.