Klaviyo Data Science Podcast

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Recruiting for a data science team Most of us reading this writeup have probably had at least one interaction with a recruiter. Most of us reading this writeup probably don’t have a deep knowledge of recruiting — what recruiters do, how they help teams scale, and what the other 90% of the iceberg you don’t see as a...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Required reading for data science A question we frequently get asked is: what books should I read to be a better data scientist/machine learning engineer? This may not surprise you, but there isn’t just one answer — depending on the skills you have, your knowledge base, the point of your career that you’re in, and m...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Understanding your Customer Lifetime Value This is a math-heavier episode than usual — we’re going to dive into probabilistic distributions and talk about systems of estimators. Even if that’s not your background, though, you should still find this episode useful. That discussion is all based in something crucial to...

Benchmarks: what are they and why? You’ve probably heard of benchmarks. You’ve probably even used them. But what exactly are benchmarks, how are they useful, and how can you go about building a system to make benchmarks in your own industry? You’ll hear about all that and more, including: How to use benchmarks to make informed decisions about improving your business Why the humble stoplight s...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… 2020 Year in Review We have a bit of a different episode this month. Instead of diving deep into a specific topic, I asked 14 members of the Klaviyo data science team to give their personal highlight for 2020 as a year in data science. You’ll hear about a bunch of fascinating data science topics, including: Using ma...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Engineering Challenges in Data Science All data science work at scale rests on a solid foundation of engineering. We discuss how to establish that foundation — from what goes into software engineering to begin with to the specifics of how to prepare for big seasonal events like Black Friday and Cyber Monday. You’ll...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Seasonality in e-commerce As the calendar changes, so do the right steps to take for your e-commerce business. We wade into the waters of seasonal changes in behavior, data, and logistics, and we take a deeper look at how to navigate them. You’ll hear from data scientists and product analytics about: The fact that garden...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Recommender systems: how do they work? We get recommendations for all sorts of things today: routes to take when we drive, places to eat, books to read, petitions to sign, and of course, things to buy. We take a deeper look at the task of making the data science and software systems that dispense useful recommendati...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… What makes a report good? Data-centric teams likely take it as a given that good reporting is a key to living a happy life, but what exactly makes a report good ? We dive into the topic of reporting and discuss ways to make a report exceed expectations. You’ll hear from data scientists and product designers about: W...

In this episode, we take a deep dive into a recent feature the team built, signup form A/B testing, to give you a taste of what it’s like to build software for data science. You’ll hear from data scientists, product designers, and software engineers. We discuss: The reason multi-arm bandits are called multi-arm bandits How to distill a two-minute explanation into a single word The way people think...

In this episode, we discuss how our careers in data science began, lessons we’ve learned along the way, and mistakes we’ve made and learned from. You can expect to hear: When we stopped wanting to be astronauts and started wanting to be data scientists Advice we’d give to anyone just starting in the field Advice we’d give to anyone currently at the helm of a dinosaur-based movie franchise Resource...

We’re excited to unveil the first episode of the Klaviyo Data Science podcast! 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. We’re jumping right into the action with this episode. This is a deep dive into research in action. We’ll learn about what’s happening in the world of...