Shopify, every mention
18 scenes (2019), the whole family · ← back to Shopify
tap a year for its mentions
every year 2019 anyone Matt Turck 20Solmaz Shahalizadeh 13Emily Glassberg Sands 3Sarah Guo 2Tomasz Tunguz 1Eric Glyman 1Dimitri Sirota 1Ahmed Elsamadisi 1
Verbatim, from the transcripts: the passages where Shopify comes up
How to Answer Data Questions Without Being Miserable // Ahmed Elsamadisi, Narrator (Data Driven NYC)
- ▶ 11:47 Ahmed Elsamadisi And now defining it is just a matter of describing what is a completed order off of Shopify.
Fireside Chat: Sarah Guo, General Partner at Greylock (FirstMark's Data Driven NYC)
- ▶ 8:26 Sarah Guo One of them is just width, width of the market in terms of, like, the type of customers they serve, um, SMB to, like, large enterprise, uh, and you, I think you can have large, Shopify's an extraordinary example of this, but you can have…
- ▶ 19:53 Sarah Guo Uh, it could come from enabling new activity, like Shopify, more commerce.
Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
- ▶ 0:14 Matt Turck Um, you are the VP of data science and engineering at Shopify. 9 times in the scene
- ▶ 3:58 Matt Turck And then you, you found your way into Shopify, which is actually, by the way, interesting for anyone, um, that's, uh, a startup in trying to recruit, uh, top data scientists.
- ▶ 6:39 Matt Turck So what does a team look like now at, uh, Shopify? 2 times in the scene
- ▶ 9:09 Solmaz Shahalizadeh So, uh, Shopify, the application is still Ruby on Rails, and actually the first version of ETL tooling that was built in house was Ruby, but I think, uh, we made this decision of moving to Python around 20 13, 20 14, because we thought… 2 times in the scene
- ▶ 10:46 Matt Turck Uh, so I think you started initially, the first, uh, project was Shopify Capital. 3 times in the scene
- ▶ 12:41 Solmaz Shahalizadeh Uh, so then after that, so I think it was like this pivotal moment in Shopify where we, before that we were using data for making data informed decisions about what to build, where to invest, all of those things.
- ▶ 12:55 Solmaz Shahalizadeh So capital was the first one.
- ▶ 17:21 Matt Turck And so, um, Shopify Capital, um, the anti-fraud, now you've built a whole portfolio of, uh, data science and machine learning driven products.
- ▶ 18:23 Solmaz Shahalizadeh So when they log into their Shopify store, uh, in the admin, they see a bunch of, like, home cards that tells them, uh, do this or, like, uh, market for this product or make this change in your theme. 4 times in the scene
- ▶ 21:32 Solmaz Shahalizadeh So, in the beginning when I joined Shopify, we were mostly trying to make sure we are collecting everything when we need it, because, you know, you're startup, you're moving fast, so data collection is not top of mind for all the… 2 times in the scene
- ▶ 27:47 Solmaz Shahalizadeh So, for example, if it's a fraud product, we look at specific metrics that are different from what would you look at for, like, capital.
- ▶ 28:42 unnamed speaker Hi, um, so Shopify is a marketplace, so you get access to a bunch of data from different shops, but you also have, um, AI or machine learning driven products that are serving, uh, shop owners based solely on their own data. 2 times in the scene
- ▶ 29:20 Solmaz Shahalizadeh Uh, it builds a profile for me to give me a shop by capital offer or not.
- ▶ 30:47 unnamed speaker Um, that you're quite interested in seeing what's going to happen with causal inference, and, um, I'd be interested if you could, um, provide any covers to, uh, areas, uh, or these cases that you think they can be useful for at Shopify,… 3 times in the scene
- ▶ 33:25 Solmaz Shahalizadeh So, for example, we use profit for time series forecasting all the time in Shopify, and it has changed