Data Scientist (m­­/­­f­­/­­d)

Collecting and crawling data from diverse sources (websites, databases, social networks, etc.) Preparing and preprocessing datasets, conducting initial analyses for application-oriented projects in optimization, AI, and machine learning. Independently identifying, assessing, and evaluating potential data sources to support research initiatives Designing and setting up simulation environments for modern manufacturing systems, integrating classical scheduling problems (e.g., flexible job shop, resource-constrained project scheduling) with real-world applications and case studies. Setting up simulation environments for consumer behavior research applications (e.g., customization tools). Contributing to the development of influential benchmark datasets that enhance algorithmic research. Assisting in setting up and running experiments, including using platforms (e.g., Qualtrics) to design and administer surveys. Adjusting and customizing questionnaires, incorporating programming languages (e.g., JavaScript) to tailor the experimental setup to specific research needs. Managing data storage, documentation, anonymization, and publication Performing data analysis and visualization using cutting-edge scientific methods Writing data documentation and summary reports for internal and external use Assisting in preparing teaching materials on courses in machine learning, optimization, data management, data analysis, and data visualization.