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
11 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 (30)
r-package10
r9
cran9
targets8
reproducible-research7
pdf-format6
fixest5
cli5
pipeline5
regression5
poppler5
data-storage5
ipython5
console4
data-science4
Programming languages (6)
Github contributions (5)
matthiaskaeding/setcover
Jul 2024 - Mar 2026
Set cover algorithms
Contributions:28 PRs, 23 pushes, 31 branches in 1 year 7 months
matthiaskaeding/binscatter
Apr 2025 - Feb 2026
Creating binscatter plots
Contributions:51 PRs, 170 pushes, 58 branches in 10 months
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