Research Data Scientist / Research Data Analyst (m/w/d)

Technische Universität München
TUM School of Management
Heilbronn Data Science Center
TUM Campus Heilbronn

For the TUM School of Management at the Heilbronn Data Science Center at the TUM Campus Heilbronn, we are looking for a full-time position (part-time employment is possible in principle) for an initial period of two years as soon as possible:

Data Scientist (m/f/d)

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. 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.
We are looking for a proficient specialist in coding, data crawling, simulation, machine learning, data mining, and data visualization. The ideal candidate combines strong foundational knowledge in core data science disciplines such as statistics, modeling, optimization, and machine learning with a keen interest in understanding contexts, causal relationships, and complex dynamics across various application domains, including manufacturing, marketing, and transportation.
You will be closely involved in the research projects of the professorships within the Unit for Data Science in Management at the Heilbronn Data Science Center and take responsibility for data-related work packages aimed at high-profile publications and societally impactful research. 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
Managing a project on designing an opensource benchmark manufacturing databank and simulation environment, aiming to integrate classical scheduling problems (e.g., flexible job shop, resource-constrained project scheduling) with real-world applications and case studies

Design, implement, and optimize complex online surveys using client-side scripting and platform custom code to build interactive modules, conditional logic, dynamic content, and data integrations; advanced user generated data and digital content analysis

Transportation: Developing advanced machine learning and data analytics models under the simulation or real-world applications of smart transportation, such as traffic signal control, traffic demand prediction, congestion management and causal analysis, emerging new mobilities.

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.

A completed academic degree at master's level in management/business administration, economics, mathematics, information systems, computer science, industrial engineering, business engineering, or a related field
A strong interest in areas related to management, business, or AI and machine learning
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)
Marketing : 1) digital content analysis; Experience in data storage and management
Strong communication skills in English
Speaking German is an asset, but not required

Self-determined work related to interdisciplinary research projects
A diverse and inclusive working 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)

Elke Kröber) using the subject “Data Scientist” . TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Note on data protection:
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.
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
Managing a project on designing an opensource benchmark manufacturing databank and simulation environment, aiming to integrate classical scheduling problems (e.g., flexible job shop, resource-constrained project scheduling) with real-world applications and case studies
Design, implement, and optimize complex online surveys using client-side scripting and platform custom code to build interactive modules, conditional logic, dynamic content, and data integrations; advanced user generated data and digital content analysis
Transportation: Developing advanced machine learning and data analytics models under the simulation or real-world applications of smart transportation, such as traffic signal control, traffic demand prediction, congestion management and causal analysis, emerging new mobilities.
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.
We are looking for a proficient specialist in coding, data crawling, simulation, machine learning, data mining, and data visualization. The ideal candidate combines strong foundational knowledge in core data science disciplines such as statistics, modeling, optimization, and machine learning with a keen interest in understanding contexts, causal relationships, and complex dynamics across various application domains, including manufacturing, marketing, and transportation.
A completed academic degree at master's level in management/business administration, economics, mathematics, information systems, computer science, industrial engineering, business engineering, or a related field
A strong interest in areas related to management, business, or AI and machine learning
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)
Marketing : 1) digital content analysis; Experience in data storage and management
Strong communication skills in English
Speaking German is an asset, but not required