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

17.10.2024, Wissenschaftliches Personal

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.

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

(Pay group 13 TV-L, 100%)

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 bewerbungen.gcfe@mgt.tum.de quoting the keyword “Data Scientist”. For further information about this position please contact Mr. Marc Seiffarth (marc.seiffarth@tum.de).
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 Technical University of Munich aims to increase the proportion of women and explicitly encourages applications from qualified women. Applications from disabled persons will be given preference in the case of essentially equal suitability and qualifications. The position can also be filled on a part-time basis. 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).

Kontakt: tamara.hoertling@tum.de

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