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Klaviyo Data Science
Research, insights, and data, brought to you by the data science team at Klaviyo.
Klaviyo Data Science Podcast EP 14 | Data Science in the Wild (feat. Super Coffee and Lunar Solar Group)
Klaviyo Data Science Podcast EP 13 | How to run a product experiment
Lit Review vol. 4 | Estimating and Testing Vaccine Sieve Effects (Benkeser et al.)
Klaviyo Data Science Podcast EP 12 | How data science teams (should) grow
Lit Review vol. 3 | J. Ioannidis — What have we (not) learnt… (2019)
How has the usage of p-values changed over the years? More importantly, how has it not changed? We turn to the literature for answers.
Klaviyo Data Science Podcast EP 11 | Books every data scientist should read (vol. 1)
Lit Review Vol. 2 | Rudy et al. — Data-driven discovery of partial differential equations (2017)
How can data science help discover the laws of the physical universe?
Klaviyo Data Science Podcast EP 10 | Once in a (customer) lifetime
Lit Review Vol. 1 | S. Janson — Tail Bounds for Sums… (2018)
What a paper about the geometric distribution teaches us about data science
What is Lit Review, and why?
Klaviyo Data Science Podcast EP 9 | Measuring up with benchmarks
About Klaviyo Data Science