Rasmus Bååth
Director Of Data Science & Insight
Lund, Sweden
Summary
👤
Senior🎓
Top SchoolRasmus Bååth is a seasoned data science and engineering leader with 13 years of experience building and scaling ML-driven products and teams across startups and high-growth companies. He holds a PhD in Cognitive Science from Lund University and blends deep statistical and modeling expertise with hands-on data engineering and MLOps, preferring R but fluent in Python and TypeScript stacks. Rasmus has a proven track record recruiting and leading globally distributed teams—having hired double-digit data engineers at Normative and built Castle’s fraud-detection platform now protecting major customers. Currently Director of Data Science & Insight at Vivino, he focuses on turning data into better discovery and purchase experiences while keeping teams aligned, productive, and growth-minded. Colleagues value him for tackling hard problems end-to-end and for bringing academic rigor to pragmatic, production-ready solutions.
13 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Cognitive Science, Doctor of Philosophy - PhD Cognitive Science at Lund University
Stackoverflow
5,037reputation
564kreached
11answers
9questions
coding-style
top-5%
r
top-5%
naming-conventions
top-5%
statistics
top-5%
Github Skills (79)
rscript10
sounds10
htmlwidgets10
fullcalendar10
r-package10
bayesian10
r9
statistics9
mcmc9
naming-conventions9
bootstrap8
discovery8
plotly7
graphic7
shiny7
Programming languages (10)
Github contributions (5)
rasmusab/bayesian_first_aid
Jul 2013 - Aug 2016
Inside every classical test there is a Bayesian model trying to get out.
Contributions:1 release, 112 commits, 1 PR in 3 years
bayesian
Dr. Semmelweis and the discovery of handwashing by Rasmus Bååth
Contributions:12 PRs, 34 pushes, 1 branch in 2 years 1 month
pythonhandwashingdiscovery
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