Ing. Dr. Thomas Schwab von Postel
Economist | Research Architect | Data ScientistTech Stack
R
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90
%
Stata
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80
%
SQL
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80
%
Git
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90
%
Java
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70
%
Python
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50
%
Languages
German
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100
%
Englisch
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90
%
Italian
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20
%
Profile
Thomas Schwab, Senior Expert for European economics at the Bertelsmann Stiftung's Europe program, specializes in analyzing economic policy with a particular emphasis on territorial inequalities.
He authored and co-authored several studies on economic cohesion within the context of the green and digital transition. Thomas employs innovative, data-driven research designs to inform evidence-based policy-making. His contributions have been featured in prestigious journals such as the Journal of Public Economics, Research Policy, Intereconomics, and Wirtschaftsdienst.
Prior to his role at the Bertelsmann Stiftung, Thomas served as a data scientist for a prominent Berlin-based internet company and gained experience at a leading auditing and tax consulting firm. His educational background includes studying economics in Vienna, Berlin, and Mannheim, where he earned a Ph.D. in corporate taxation from the University of Mannheim.
EDUCATION AND EXPERIENCE
Experience
Senior Expert | Project Manager
Bertelsmann Stiftung ( Berlin ) 10/2021 - Present
05/2024 - Present: Senior Expert, 10/2021 - 04/2024: Project Manager
- Conceptualized and executed studies assessing the territorial dimension of European economic policies
- Established collaborations with scientific partners to enhance research initiatives
- Communicated policy insights to policymakers in Berlin and Brussels, facilitating informed decision-making
- Engaged in discussions with stakeholders on the future of cohesion policy
Senior Data Analyst
idealo | Largest European E-Commerce Service Provider ( Berlin ) 07/2021 - 10/2021- Evaluate the impact of economic policies on business performance
- Developed a robust data landscape for future academic collaborations
Researcher in Public Economics (part-time)
Center for Economic Studies, University of Munich (LMU) ( Munich ) 07/2020 - 06/2022- Utilized Austrian administrative tax data to analyze business owner behavior
- Applied machine learning methods to predict in-year firm outcomes
- Identified tax optimization strategies using bunching methodology
Project Manager and Data Scientist for Taxation and Auditing
Ebner Stolz, Berlin | Top Audit Services & Consulting Firm in Germany ( Berlin ) 10/2019 - 06/2021- Spearheaded digital transformation initiatives and implemented data science strategies, including data warehousing
- Developed dashboards for large-scale data analytics operations
- Desigend machine learning routines to identify fraud
Researcher in Corporate Tax & Public Finance
ZEW - Centre for European Economic Research ( Mannheim ) 06/2015 - 01/2019- Evaluated taxation policies for the European Commission and foundations
- Presented research insights at conferences worldwide to public and scientific stakeholders
- Quantified multinational enterprise behavioral responses to tax policies using econometric models
- Fostered knowledge exchange within the scientific community
Education
Doctoral Degree (PhD)
University of Mannheim ( Mannheim ) 2014 - 2019
Business Taxation
Master (MSc) | Bachelor (BSc)
Vienna University of Economics and Business ( Vienna ) 2009 - 2014
Economics with focus on Public Economics | exchange term FU Berlin
Engineer (Ing., equivalent BSc)
Higher Technical College ( Kaindorf/Sulm ) 2003 - 2008
Software Engineering
Hobbies
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Cross Fit -
Biking -
Reading -
Skiing