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Listen to the full episode on Anchor, or in your favorite podcast distribution platform!
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…
We’ve talked about a lot of aspects of data science on this podcast — building software features, conducting research, learning new methods and skills, recruiting new members — but there’s one we’ve always avoided: building a new team from the ground up. A large reason for that is personnel — while your cohosts may be intrepid, they are not experts in this area.
This month, we bring on two people who are: Eric Silberstein and Ezra Freedman, who founded the Data Science team at Klaviyo. We draw on their wealth of experience, knowledge, and lessons learned the hard way while founding a young team.
As you might expect, these lessons extend beyond data science teams in particular — whether you’re founding another team or starting a new business, or looking to join a team in its early stages, you might be able to learn from our discussions, such as:
“When you view the world, do you think of it as ‘if-then’ statements, or do you tend to think of it as some sort of function to optimize? Our team needed both.”
- Eric Silberstein, VP of Data Science
Read the full writeup on Medium!
No transcript available for this episode.

Klaviyo Data Science Podcast

Klaviyo Data Science Podcast

Klaviyo Data Science Podcast