Matthias Kaeding
Senior Data Scientist
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolMatthias Kaeding is a Senior Data Scientist based in Barcelona with nine years of experience applying machine learning, causal inference, and experimentation to production problems at HP and research institutions. He combines a PhD in Economics and an M.S. in Statistics to bridge rigorous causal methods and scalable model deployment, having built large-scale spatial data pipelines and location-allocation optimization tools at RWI. His background spans Bayesian nonparametrics, survival analysis, and simulation methods, which he leverages to design robust experiments and interpretable models for business impact. Comfortable moving models from research to serving, he focuses on dependable, auditable ML systems rather than one-off prototypes. An economist by training who codes like an engineer, he brings a rare mix of academic depth and production-first pragmatism.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.), Social Science, Bachelor of Arts (B.A.), Social Science at Universität SiegenMaster of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at Otto-Friedrich-Universität BambergDoctor of Philosophy (Ph.D.), Economics, Doctor of Philosophy (Ph.D.), Economics at University of Duisburg-Essen
English, German
Github Skills (28)
r-package10
cran10
r9
frame9
targets7
pipeline6
pdf-format6
reproducible-research6
data-science4
converting4
pdf-files4
pipeline-framework4
data-storage4
poppler4
cli4
Programming languages (6)
Github contributions (5)
matthiaskaeding/RcppGreedySetCover
Jan 2018 - Apr 2022
Contributions:17 commits, 15 pushes, 1 branch in 4 years 4 months
matthiaskaeding/Stuff4R
Jan 2017 - Dec 2017
Contributions:83 pushes, 8 branches in 11 months
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