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Klaviyo Data Science Podcast EP 28 | Our Favorite Data Science Project
Manage episode 343030017 series 3251385
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 who work on or with the Data Science team one simple question: what is your favorite data science project you’ve worked on? You’ll hear about all of the following and more:
- How data science and product management can work together to maximize their strengths
- How two different viewpoints on the same project can illuminate different, equally fascinating parts of it
- An unexpectedly powerful way to use data about first names
“As a data scientist, you have to be curious and you have to be really agile, you have to pivot and ask a new question…. I learned a lot about how to leverage that to maximize outcomes when we work together.”
— Alexandra Edelstein, Director of Product Management
See the full show notes on Medium!
58 פרקים
Manage episode 343030017 series 3251385
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 who work on or with the Data Science team one simple question: what is your favorite data science project you’ve worked on? You’ll hear about all of the following and more:
- How data science and product management can work together to maximize their strengths
- How two different viewpoints on the same project can illuminate different, equally fascinating parts of it
- An unexpectedly powerful way to use data about first names
“As a data scientist, you have to be curious and you have to be really agile, you have to pivot and ask a new question…. I learned a lot about how to leverage that to maximize outcomes when we work together.”
— Alexandra Edelstein, Director of Product Management
See the full show notes on Medium!
58 פרקים
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