
Klaviyo Data Science Podcast EP 37 | How research works (part 1)
About this episode
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…
Research is a core part of data science. But data science is far from alone in that respect — other fields rely on research just as heavily, and they have their own set of hypotheses, methods, complications, and concerns. This month, we talk to three Klaviyos about research they did before joining the team — both data science research and other kinds — to see what we can learn about conducting effective data science research.
Listen along to learn more about:
- What tiny iron meteorites teach us about the importance of using your results to tell a compelling story
- What data science research into commerce and policy teaches us about iterating on your research questions
- What rubber beams teach us about the importance of getting feedback early
“Everybody has a unique perspective could be the one that opens up a brand new door. You’re looking at doing specific algorithms, you’re looking at doing the research a specific way, but there could be an alternative path.”
- Mike Galli, Data Scientist
See the full writeup on Medium!
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