195 Jobs in und um München

The TUM Campus in Heilbronn is part of the renowned Technical University of Munich, which is one of the best universities in Europe. Top performance in research and teaching, interdisciplinarity and talent promotion are its hallmarks. In addition, it has strong alliances with companies and scientific institutions around the world. TUM is one of the first three universities of excellence in Germany. The TUM School of Management is also the first management school at a technical university in Germany to receive Triple Crown accreditation. Worldwide, only about 80 institutions (about 1%) can boast this distinction. The Heilbronn Data Science Center is a research institution of TUM Campus Heilbronn that uses data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with application-oriented research that unlocks the potential of data through rigorous analysis - advancing solutions in societally relevant domains.

Aufgaben:

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.

Qualifikationen:

We are looking for a proficient specialist in coding, data crawling, simulation, data mining, and data visualization. The ideal candidate combines strong foundational knowledge in core data science disciplines-such as statistics, modeling, and optimization-with a keen interest in understanding contexts, causal relationships, and complex dynamics across various management domains, including manufacturing, marketing, and transportation.
A completed academic degree at master's level in management/business administration, economics, mathematics, information systems, informatics, business engineering, or a related field
A strong interest in areas related to management and business
Experience in extracting, cleaning and analyzing data (e.g. business research databases, websites) using scientific methods
Experience in programming and developing software packages (e.g., C++, Python, Julia)
Experience in conceptualization, publishing, and documentation of (opensource) code environments
Experience in developing simulation environments is advantageous
Knowledge in optimization modeling.
Basic knowledge in scheduling is advantageous
Experience in data storage and management
Strong communication skills in English
Very good organizational skills
Enthusiasm for algorithm design and innovative empirical research
Speaking German is an asset, but not required

Wir bieten:

Self-determined work related to interdisciplinary research projects
A diverse and inclusive working environment
The opportunity to work in a vibrant scientific environment
The possibility to partially work from home as well as a modern, well-equipped workplace on the Bildungscampus Heilbronn
Access to advanced training opportunities for professional development
Full-time position (part-time possible)

Unser Kontakt:

Technische Universität München TUM School of Management Unit for Data Science in Management TUM Campus Heilbronn (contact persons: Ms. Elke Kröber and Ms. Eva Tietz) using the subject «Data Scientist». In the letter of motivation, please include a brief self-assessment (150 words at most) outlining how your profile aligns with the qualifications we are seeking, as well as how your expertise matches the responsibilities and tasks associated with the position.

Weitere Informationen:

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV-L) up to a classification in pay group 13 with appropriate qualifications. As part of your application for a position at the Technical University of Munich (TUM), you submit personal data. Please note our data protection information in accordance with Art. 13 of the General Data Protection Regulation (GDPR) on the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have taken note of TUM's data protection information.

Berufsfeld

Öffentlicher Dienst, Verwaltung Business Administration Informationstechnologie, TK IT/TK Softwareentwicklung Organisation, Verwaltung, Büro Forschung, Lehre Datenbanken

Bundesland

Bayern

Standorte

Heilbronn Remote

195 Jobs in und um München

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