Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

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 and security are necessary to deliver the value you promise your customers, who they matter the most to, and how to build privacy and security into your own data science work. The panel includes some of the foremost experts on the topics at Klaviyo from data science, engineering, and security and risk governance, so you’ll get to hear about these topics from a variety of angles, including:

For the full show notes, see the writeup on Medium.

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

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 explored by the Klaviyo data science team. You’ll hear about:

See the full writeup, including links to the blog posts we mention, in the show notes on Medium.

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

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:

Be sure to check out the show notes in Medium to learn more about the topics we discuss in this episode!

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

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 learn about in most data science coursework, but understanding your end customer is a crucial part of being an effective data scientist. We spend this whole episode describing why and how to do great customer research. Topics include:

Be sure to check out the show notes in Medium to learn more about the topics we discuss in this episode!

If you have any questions, comments, or concerns, please contact me on Twitter.

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

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 people who need to be creative, day in and day out? The Creative team at Klaviyo recently tackled the problem of helping users get inspired to create content, and I sat down to discuss the thinking that went into the resulting feature, Showcase. You’ll hear about the development process for Showcase, but also about the underlying problems that Showcase is trying to solve and the process of coming up with a solution like Showcase. Specific topics include:

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

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. And we’ll hear about settings where a quick calculation on a napkin can be the difference between success and failure — including the biggest weekend of the ecommerce year. You’ll hear about all that and more, including:

See the full show notes, including the statistical explanations of the paradoxes we discuss, on Medium.

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

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 — data science techniques helped accelerate a growth opportunity into a growth story. You’ll hear about all that and more, including:

Klaviyo empowers creators to own their own destiny and helps growth-focused ecommerce brands drive more sales with super-targeted, highly relevant email, SMS, Facebook, and Instagram marketing. Interested? We’re always looking for great people to join our team.

Edited by: Michael Lawson

Logo by: Griffin Drigotas, Ally Hangartner from Klaviyo Design

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

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 knowledge and skills. This month, we’re back with three more:

We discuss the following books and courses in this episode:

Klaviyo helps growth-focused ecommerce brands drive more sales with super-targeted, highly relevant email, Facebook, and Instagram marketing. Interested? We’re always looking for great people to join our team.

Edited by: Michael Lawson

Logo by: Griffin Drigotas, Ally Hangartner from Klaviyo Design

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

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 showcase the ways that they have partnered with Lunar Solar Group and used inquisitive problem-solving methods to answer questions core to Super Coffee’s business needs. You’ll hear about all that and more, including:

Edited by: Michael Lawson

Logo by: Griffin Drigotas, Ally Hangartner from Klaviyo Design

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

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 secret that you only get good experimental results if you run good experiments. You’ll hear about running a good experiment and more, including:

Edited by: Michael Lawson, Aaron Goeglein

Logo by: Griffin Drigotas, Ally Hangartner from Klaviyo Design