Benedikt Mangold

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Benedikt Mangold

Prof. Dr. rer. pol., Dipl.-Math. oec.

Beruflicher Werdegang

Working Experience

GfK SE (Data & Technology), Nuremberg, Germany

09/2024 - heute Principal Data Scientist

  • Research
  • Modelling

07/2022 - 08/2024 Principal Data Scientist

  • Lead Research Data Scientist: Innovating and fostering multi-class classification model with 50k+ classes in production (extreme multilabel ranking)
  • Proving business value with PoCs & converting prototypes into maintainable software
  • Teamlead of 5 Data Scientists & Machine Learning Engineers

07/2019 - 07/2022 Senior Data Scientist

  • agile research, development, and application (python and R) of nlp machine learning algorithms
  • product owner responsibilities

06/2017 - 07/2019 Data Scientist

  • agile research, development, and application (python and R) of nlp machine learning algorithms
  • maintaining machine learning pipeline
  • statistical ad-hoc analyses

Mietpreischeck.de UG, Nuremberg, Germany

07/2017 - present Co-Founder

  • development, deployment, continuous improvement of machine learning models
  • research, ideation and integration of new products
  • development, deployment, testing of backend

FAU Erlangen-
Nuremberg, Chair of Statistics and Econometrics, Germany  

04/2012 - 05/2017 Research Assistent

  • researching on nonparametric measures of independence, symmetry, variation, and comovement
  • teaching of elementary statistics, (advanced) data analysis and case studies in R at Bachelor’s and Master’s level
  • coaching graduate theses, with focus on statistical machine learning
  • advising Ph.D. students in statistical, technical and programming problems

 

Education

FAU Erlangen-
Nuremberg, Chair of Statistics and Econometrics, Germany  


04/2012 - 03/2017

  • Ph.D. in Economics

FAU Erlangen-
Nuremberg, Department of Mathematics, Germany  


09/2006 - 12/2011

  • Diploma in Business Mathematics
Mitgliedschaften

Nürnberg Institut für Marktentscheidungen e.V.

Lehrgebiete

Statistik

Stochastik

Innovations-, Forschungs-und Technikkommunikation

Technikjournalismus und Wissenschaftsjournalismus

Forschungsgebiete

Machine Learning in Retail

Simulation von Gruppendymamiken mit Hilfe von KI Agenten

Veröffentlichungen

Wissenschaftliche Publikationen

  • Mangold, B., & Konopik, J. (2024). Introduction of a general class of entropy-based control charts: The φ-chart. Managerial Economics, 25 (1), 55. Retrieved from https://journals.agh.edu.pl/manage/article/view/6556 . doi: 10.7494/manage.2024.25.1.55
  • Mangold, B., & Stübinger, J. (2020). Investigating inefficiencies of bookmaker odds in football using machine learning. Editorial Universitat Politècnica de València, 173-179. doi: 10.4995/CARMA2020.2020.11619
  • Stübinger, J., Mangold, B., & Knoll, J. (2020). Machine learning in football betting: Prediction of match results based on player characteristics. Applied Sciences, 10 (1). doi: 10.3390/app10010046
  • Stübinger, J., Mangold, B., & Krauss, C. (2018). Statistical arbitrage with vine copulas. Quantitative Finance, 18 (11), 1831-1849. doi: 10.1080/14697688.2018.1438642
  • Mangold, B. (2017). Essays on statistics. Friedrich-Alexander-Universität Erlangen-Nürnberg.
  • Mangold, B. (2017). New concepts of symmetry for copulas (FAU Discussion Papers in Economics No. 06/2017). Nürnberg. Retrieved from https://hdl.handle.net/10419/157809
  • Klein, I., Mangold, B., & Doll, M. (2016). Cumulative paired φ-entropy. Entropy, 18 (7). doi:10.3390/e18070248
  • A multivariate rank test of independence based on a multiparametric polynomial copula (IWQW Discussion Papers No. 10/2015). Nürnberg. Retrieved from https://hdl.handle.net/10419/155778
  • Mangold, B., Pleier, T., Brug, C., Nolzen, J., & Stübinger, J. (2014). Verbesserung des lernverhaltens durch online-tests: Ein jahr später (Diskussionspapier No. 91/2013). Nürnberg. Retrieved from http://hdl.handle.net/10419/104000
  • Pleier, T., & Mangold, B. (2013). Lehrverbesserung durch online-tests: Effekte der eigenarbeit von studierenden (Diskussionspapier No. 90/2013). Nürnberg. Retrieved from http://hdl.handle.net/10419/88435

Vorträge

  • Mangold, B. (2023). How not to lie about ml - experiences from two years of working on data science research in an agile environment using an innovation funnel. Retrieved from https:// machinelearningweek.eu/agenda/2023/ (Machine Learning Week Europe, Berlin)
  • Mangold, B., & Reissmann, J. (2022). Proof of concept successful – is my work as data scientist- Retrieved from https://dssconf.pl/en/ (Data Science Summit (DSS), Warsaw, Poland)
  • Mangold, B. (2021). What is the craze about mlops. Retrieved from https://aisummit.today/ (AI@Enterprise, online)
  • Mangold, B., & Stübinger, J. (2020). Investigating inefficiencies of bookmaker odds in football using machine learning. Retrieved from https://carmaconf.org/ (CARMA, online)
  • Mangold, B. (2019). Sustainable rapid prototyping: Making machine learning projects reusable. Retrieved from https://predictiveanalyticsworld.de/ (Predictive Analytics World, Berlin)
  • Mangold, B. (2014). Plausible prior estimation. (Statistische Woche, Hannover)