Klaviyo Data Science Podcast

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 set of hypotheses, methods, complications, and concerns. This month, we talk to three Klaviyos about research they did before joining the team — both data sc...

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. Everyone sees it every time they log on to do anything, and interactions with that page set the tone for everything that follows. Meaning: if you’re going to c...

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 same was not true a decade ago. Many of the people who work (and will work) as data scientists were not classically trained as a data scientist, but as someth...

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 Data Science team at Klaviyo what one of their favorite data science books was, and we got four different answers. Listen on if you’ve wanted to know more wa...

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… Starting from scratch 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...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… When the data science world changes When you work in data science, it’s inevitable that the world will change for you. Sometimes it’s due to global events, macroeconomic trends, or sudden shifts in consumer behavior. Other times it’s due to new features added by a commonly-used piece of software. When your lifeblood is d...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… 2022 Year in Review As the new year starts, we take a look back at 2022. We spoke to 8 data scientist and people who work closely with data scientists, and we asked them all the same question: what is the coolest data science thing you learned about in 2022? You’ll hear about fascinating data science topics, includi...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Tools of the Trade We talk a lot on this podcast about the results of data science and software engineering work. We even talk about the process of doing data science and software engineering work. But one thing we haven’t shed much light on, until this month, is: what specific tools help a Data Science team — or an...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Anomaly Detection It’s our third November on the Klaviyo Data Science Podcast, and if you work in ecommerce, you know that November means one thing: Black Friday and (usually) Cyber Monday, i.e. the month of the year where everything changes. Traditionally, we’ve talked about things that help prepare builders of software...

I’ll let you in on a secret: this podcast does not cover everything. We cover a wide array of projects, go into detail on a variety of aspects of them, and speak to a diverse panel of data scientists and people related to the data science world, but we still can’t cover everything. This month, to give you a taste of what we haven’t been able to showcase on this podcast, we’re asking six Klaviyos w...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Using NLP to communicate at scale Last episode , we discussed the history and practice of natural language processing, or NLP. This month, we’re here to discuss an exciting and cutting-edge application: using NLP to help businesses converse with their customers at scale. See the power of NLP in action as we talk wit...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… What’s the deal with natural language? Natural language processing, or NLP, is one of the dominant forces in modern data science, and it’s produced a host of data science-powered products many people take for granted as a basic fact of life. It hasn’t always been so powerful or pervasive, though — NLP has a long and inte...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Thinking big-picture with A/B testing We’ve discussed A/B testing multiple times on this podcast, for good reason. But there’s an important angle we have yet to cover: in the life of a researcher or marketer, there’s no such thing as an A/B test . There’s an entire system of A/B tests run for specific purposes over...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Using data science to help people write Using machine learning models to generate text, images, and other creative objects is, as they say, a bit of a hot topic right now. There are examples of models like this in action all across the internet and across different fields and disciplines. Today, we discuss one of th...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Writing code for computers and people No matter what sort of data science work you do, it’s fairly inevitable that you’ll have to write code to accomplish your goals. For substantial projects, it’s also fairly inevitable that you’ll have to work with other people to see them to completion. As anyone who’s dived into...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… What are data privacy and security? Data privacy and security are huge and hugely important topics — in all likelihood, you already know a little about them if you’re reading this intro. But they are both crucial to any good data science work, and this month we explore the fundamentals of both topics: why data privacy an...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Customer-focused research This month, we focus on research — but specifically research that’s aimed at your customers, delivering the sort of insight they would try to glean by running experiments and analysis using their own data. In particular, we dive into two different case studies drawn from the recent topics explor...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… 2021 Year in Review Once again, as the new year starts, we begin by recapping the old. Instead of diving deep into a specific topic, I asked 7 members of the Klaviyo data science team to give their personal highlight for 2021 as a year in data science. You’ll hear about fascinating data science topics, including: Ho...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Customer research: your secret weapon You can study as much mathematical theory, invent as sophisticated a machine learning model, or write as clean production-ready code as you want — if you don’t make sure you’re solving the right problems to begin with, all that effort could be for nothing. It’s not a topic you l...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Fuel for the Creative Fire It’s no secret: being creative is hard. Creativity requires time and energy, at the bare minimum, and lacking creativity can spiral into writer’s block and other such conditions. That may be okay if you’re just sending out a tweet here or there — but what if your core user base consists of...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Slow Problems, Quick Solutions We’ve devoted quite a bit of time on this podcast to robust, carefully tuned, and vetted-in-a-thousand-ways solutions. This episode, we venture beyond the land of neatly trimmed hedges and into the unknown, where scrappy solutions may be the only ones that are feasible — or even possible. A...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Solving difficult problems with data science This month, we talk with Shane Suazo, the founder of Plytrix Analytics, about using data science to drive efficient business growth. Shane and Plytrix work with Vital Proteins, and we dive deep into their story and highlight the places where using specific — and powerful ...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… (More) 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 — in fact, we spent an entire episode talking about three ways to level up your data science kno...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Getting real value from data science This week, we talk with Ben Knox from Super Coffee and Gina Perrelli from Lunar Solar Group about using data science to motivate the growth of a business. No hypothetical business cases this week — Super Coffee is a real business with a real growth story, and we’re here to showca...

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Making your product experiments count We’ve talked about quite a few aspects of data science on this podcast, but one that’s perhaps conspicuously absent so far is running experiments on your product. It’s no secret that experiments provide extraordinarily high-quality data to help you make decisions, but it’s also no se...