Alain Hauser
Staff Data Scientist
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolAlain Hauser is a Senior Data Scientist based in Zurich with 11 years of experience applying rigorous statistical methods to large-scale problems in online advertising and life sciences. With a PhD in statistics from ETH Zurich and a strong teaching background, he bridges research-grade methodology and product-facing metric design, guiding experiment analysis and mentoring other data scientists at Google. He contributes to open-source tooling for causal inference (notably fixes and tests in google/causalimpact), underscoring a focus on robust, reproducible analysis. Comfortable across R, Python, C++ and SQL, he blends scientific programming with practical metric engineering to turn complex data into actionable product decisions.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD) Statistik, Doctor of Philosophy (PhD) Statistik at ETH Zürich
English, German, French, Italian
Stackoverflow
101reputation
0reached
0answers
0questions
Github Skills (6)
causal-inference10
r10
testing10
data-analysis9
statistical-models9
time-series9
Programming languages (2)
Github contributions (4)
google/CausalImpact
Nov 2016 - Dec 2020
An R package for causal inference in time series
Role in this project:
Data Scientist
Data ScientistContributions:2 reviews, 27 commits, 10 PRs in 4 years 1 month
Contributions summary:Alain primarily contributed to bug fixes and internal improvements within the `google/causalimpact` R package. These changes involved refining data formatting, ensuring accurate period boundaries, and addressing potential overflow issues by converting data types. The user also implemented tests and refactored code to improve the package's reliability and maintainability. These changes suggest a focus on improving the core functionality and accuracy of causal inference calculations within the package.
causal-inferencerr-packagetime-series
alhauser/sfsmisc
Apr 2015 - Apr 2015
Contributions:1 push in 1 day
r-packagebackup-filesrcsold-codebackup
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