Junior tervező elemző állás, munka

• scientific research and Development of tools for efficient HPC system operation and monitoring
• research and Development of data-driven and AI-based optimizations for HPC operation
• collect and evaluate requirements for operation software

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

Design and deliver complex mission-critical projects across our key business areas (e.g., pricing, supply chain, order/warehouse planning)....

• Test and select hardware components and systems
• Test and configure hardware-related software
• Provide support for hardware components, systems, and hardware-related software
• Develop test scripts
• Communicate with manufacturers, suppliers, and internal departments

• Lead the delivery of complex IT initiatives, ensuring timely execution across internal and external teams
• Manage third-party suppliers and maintain performance oversight
• Coordinate integration points across Technology Delivery teams and communicate effectively with stakeholders.

Translate complex business challenges into scalable data and AI products, guiding them from ideation to implementation. Use cases span pricing intelligence, sales rep activity planning and shop assortment optimization....

• Strategic responsibility for the alignment and continuous development of the IT Service Portfolio and its operability
• Ensuring transparency and consistency across current, future, and end-of-life IT services
• Defining and governing service design principles, structures, and documentation standards

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

• Design security concepts to address identified risks
• Specify and implement these concepts, including developing proof-of-concepts (PoCs) on the target platforms
• Provide expert guidance to internal development teams and external suppliers on integrating security features

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

System Architecture Specifications: Create and maintain architecture specifications, interface definitions, and integration plans as the foundation for hardware, firmware, and software development teams....

• In your role as Project Manager, you will lead the business transformation in our Sales and Service organizations
• In these SAP and Salesforce rollout projects you ensure the seamless integration of our new global digital process platform across departments

• System Ownership & Lifecycle:
• Own the entire system life cycle
• for our public cloud-based infrastructure, including requirements gathering, architecting, vetting, building, and operational management.
• Automation & Operational Efficiency: Drive significant improvements in
• operational efficiency

• Lead technical discovery sessions to deeply understand and map complex merchant requirements.
• Design and present tailored payment solutions, clearly mapping Mollie's APIs and products to specific business needs.

• Work closely with product owners and stakeholders to analyze business needs and integrate them into the CRM system
• Define and enforce CRM development standards based on best practices and governance models
• Configure the system, workflows, automation, and integrate it with third-party systems

• You support the development and implementation of BI solutions.
• You conduct data analyses to identify trends.
• By presenting complex data clearly and understandably, you assist us in creating reports.
• You assist in designing and optimizing data architectures.

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)