Research Associate (Data Scientist) at Global Center for Family Enterprise - TUM School of Management (m/f/d)

(TV-L E13, 100% Stelle) We are looking for a research associate (data scientist) (m/f/d) at the TUM Campus Heilbronn. The position (m/f/d) is limited to 24 months (extension for another 24 months is possible). Expected starting date is February 2025 or by mutual agreement. The research associate is also involved in teaching. About us The TUM Campus 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 with 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 Global Center for Family Enterprises focuses on researching the intersection between entrepreneurship and family enterprise. Our goal is to develop solutions through practice-oriented research and thus generate direct benefits for the economy and society. Your tasks Advise and assist researchers at the Professorship of Entrepreneurship & Family Enterprise with regard to data handling Extract, clean, merge and prepare data for research projects Data storage and management including maintenance of data repertoires Data analysis and visualization with new scientific methods in various contexts Write data descriptions and summary reports Autonomously identify potential data sources for research projects Independently prepare and run courses at the Bachelor's and Master's level (5 SWS) on topics such as data management, analysis and data visualization Your profile A master's degree or equivalent in management/business administration, economics, mathematics, information systems, informatics, or a related field Experience in extracting, cleaning, preparing and analyzing data (e.g. business research databases, websites) using scientific methods Advanced knowledge of statistical programming languages (e.g., MATLAB, Python, SAS, Stata, R, etc.) and excellent statistical skills Experience in data storage and management Strong communication skills in English (written and spoken) Very good organizational skills Knowledge in web scraping of publicly available websites of advantage Speaking German is an asset, but not required We offer An interesting job in a modern working environment at one of the leading universities in Europe Self-determined work related to interdisciplinary research projects A diverse and fair working environment The opportunity to work at the intersection of Management and Technology Full-time position (part-time possible) Application We look forward to receiving your application documents in one pdf-file (including letter of motivation, university and work certificates, CV, other certificates) preferably via e-mail by November 25, 2024 at quoting the keyword "Data Scientist". For further information about this position please contact Mr. Marc Seiffarth (). If you apply in writing, we request that you submit only copies of official documents, as we cannot return your materials after completion of the application process. The position is suitable for disabled persons. Disabled applicants will be given preference in the case of otherwise essentially equal suitability, ability and professional performance. As an equal opportunity employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university. The position can also be filled as a part-time position. Employment is on a salaried basis, depending on qualifications, with remuneration in accordance with the collective wage agreement of the federal states (TV-L E13). As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at By submitting your application, you confirm to have read and understood the data protection information provided by TUM.