Klaviyo Data Science Podcast

Klaviyo Data Science Team

Klaviyo Data Science Podcast

A monthly Business and Marketing podcast

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Klaviyo Data Science Podcast

Klaviyo Data Science Team

Klaviyo Data Science Podcast

Episodes
Klaviyo Data Science Podcast

Klaviyo Data Science Team

Klaviyo Data Science Podcast

A monthly Business and Marketing podcast
Good podcast? Give it some love!
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Episodes of Klaviyo Data Science Podcast

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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 aren’t exactly the same th
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 organizations can reap
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 mix of a live seminar Ev
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…2024 Year in ReviewAs the new year starts, we take a look back at 2024. We spoke to data scientists and people who work closely with data scientists, and we asked th
How we protect invention and ingenuity: PatentsWriting 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. Sometimes, that means w
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, and fundamental changes ha
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 like flexibility and explai
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 do even more than that?
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 episode is all about the Klav
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 the data science team to
Internationalizing your productThere 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 based, and many others. Dea
How real marketers use data scienceWe 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 design and development: we bu
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 requires one more thing
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 scrambling to integrate a thin w
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…Equity, Diversity, and InclusionEquity, diversity, and inclusion (EDI) are more than just central principles of successful teams in data science and beyond — they’re
2023 Year in ReviewAs 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 coolest data science thin
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…Knowing your customersCustomers are all unique, whether you’re building a data science product or selling an ecommerce product. In an ideal world, we’d be able to th
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…When Things BreakWelcome to the November episode of the Klaviyo Data Science Podcast for this year! November is a unique month for ecommerce, which makes it a unique
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…Off the Happy PathIn most discussions about data science and data science features on this podcast, we make a basic, foundational assumption: the users whose data we
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…Presenting your work for fun and profitPresenting technical work is not something you automatically learn how to do — just like the technical skills themselves, it h
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…An introduction to productionWhat comes after you finish building a data science model? If you’re working on a software project, the answer likely involves that mode
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 s
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…Few parts of your product, application, or webpage are more crucial than the very initial experience. In a web application like Klaviyo, that means the home page. Eve
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…The question is slightly tongue-in-cheek, but only slightly. Data science is a new field — while many people today are graduating with degrees in data science, the sa
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…Back by popular demand: data science is a broad, deep field with an extraordinary amount to learn, and we’re here to help you learn it. We asked four members of the D
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