Klaviyo Data Science Podcast EP 33 | How to found a (data science) team

Games typically involve some combination of math, chance, strategy, and skill. In this two part mini-series, the Klaviyo Data Science Podcast investigates the role of math in games and how our relatio...

4 Elo 202545min

All companies start small. The lucky ones grow, and growth necessarily comes with change. This month on the Klaviyo Data Science Podcast, we look at Klaviyo’s growth through the past 8 years and the p...

9 Heinä 202545min

This month, we return to a classic Klaviyo Data Science Podcast series: books every data scientist (and software engineer) should read. This episode focuses on the Clean * duology by Robert C. Martin,...

11 Kesä 202542min

What should I do next? A common question, one that seems simple on the surface, but the answer, especially a more optimal answer, can be very difficult to uncover. It may involve information that the ...

16 Touko 202523min

All successful teams have at least one leader, and most have at least one manager. This episode, we dive into how leadership works on highly technical teams, how managing a highly technical team works...

14 Huhti 202548min

What is agile methodology — and, just as importantly, what is it not? Whether you’re new to agile entirely or you stay up late pondering its most philosophical inner workings, if you want to know more...

11 Maalis 202544min

This month, the Klaviyo Data Science Podcast welcomes Evan Miller to deliver a seminar on his recently published paper, Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations...

7 Helmi 202545min

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… 2024 Year in Review As the new year starts, we take a look back at 2024. We spoke to data scientists and people who work c...

13 Tammi 202549min