Hosted by Unknown Host · 🇺🇸 US · EN-US · 62 episodes
Established thought leaders with verified media credentials.
This podcast is intended for all audiences who love data science--veterans and newcomers alike, from any field, we’re all here to learn and grow our data science skills. New episodes monthly. Learn more about Klaviyo at www.klaviyo.com!
Unknown Host hosts Klaviyo Data Science Podcast, a business show with 62 episodes published.
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 relationship to them is cha
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 profound effects that
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, which teaches the p
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 asker is not aware o
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, and why the two ar
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 about agile and how
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 ! This episode is a
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 closely with data sci
How we protect invention and ingenuity: Patents Writing software often involves taking known patterns, combining and shaping them, and adding needed context or specialization related to the problem we’re trying to solve.
Welcome to the November episode of the Klaviyo Data Science Podcast for 2024! In years past, November episodes reflected the chaotic Black Friday/Cyber Monday season by examining unique challenges of readiness, scale, an
As most data scientists will tell you, there is no such thing as the single best model or the perfect model . Some work well in some circumstances but poorly in others, some present a specific tradeoff between factors li
If you’re making software, especially data science-powered software, there’s a good chance one of your biggest goals is to empower stronger and deeper personalization for your users. Our topic for this month: how can you
It may come as a suprise to those of you reading this, but this milestone snuck up on me. I was surprised to realize we’d reached a full 50 episodes. What better time to take a moment to reflect and look back? This episo
A big part of growing and developing as a data scientist, or any other member of a data science team, is taking time to reflect, learn, and distill experiences into advice. This month, we’ve asked four senior members of
Internationalizing your product There are many aspects of product growth — reaching new heights for peak volume, reaching new levels of sustained daily volume, growing your feature set and the complexity of your code bas
How real marketers use data science We spend a lot of time on this podcast talking about how to build data science solutions. Implicit in many of those conversations is perhaps the most fundamental truth of product desig
An Introduction to ML Ops Building data science products requires many things we’ve discussed on this podcast before: insight, customer empathy, strategic thinking, flexibility, and a whole lot of determination. But it r
In many ways, 2023 was the year of AI in tech, which is a double-edged sword. On the one hand, the basic technology is straightforwardly exciting — but on the other hand, with seemingly every technology solution scrambli
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Equity, Diversity, and Inclusion Equity, diversity, and inclusion (EDI) are more than just central principles of successful teams in data scie
2023 Year in Review As the new year starts, we take a look back at 2023. We spoke to 11 data scientist and people who work closely with data scientists, and we asked them all the question we ask every year: what is the c
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Klaviyo Data Science Podcast is hosted by Unknown Host. The show is categorised under business (marketing) and has published 62 episodes.
Klaviyo Data Science Podcast has published 62 episodes.
Klaviyo Data Science Podcast regularly covers business, marketing. It sits in the business category, with a marketing focus.
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Episodes of Klaviyo Data Science Podcast average 48 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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