Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify, discusses lessons learned from deploying initial machine learning models for fraud detection.
“The first time you go from any rule base or non-machine learning to machine learning actually is the time that you get the highest lift.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Solmaz Shahalizadeh
PredictionNot checkable as stated
Causal inference will solve key data problems ignored by machine learning hype
“There's a lot of hype and focus and good work in machine learning. But I do think if we take a step back and look at causal inference, we're gonna actually solve a lot of problems with just that arm. So I hope over the next few years, like, people invest in th…”
Solmaz ShahalizadehJun 12, 2019▶ 26:14Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
Disclosure
Shahalizadeh hires machine learning talent by looking outside traditional ML backgrounds
“I recruit machine learning people by not going after machine learning people.”
Solmaz ShahalizadehJun 12, 2019▶ 22:55Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
Insight
Shahalizadeh: Answering simple questions drives more data impact than machine learning
“And I think that's sort of a neglected part of data science. Everyone talks about, like machine learning and building all of these data products, but I think lots of the impact, lots of the trust and usage of data actually comes from being able to answer to so…”
Solmaz ShahalizadehJun 12, 2019▶ 31:36Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
Disclosure
Shahalizadeh: Shopify avoids asking merchants for data without immediate utility
“We don't ask merchants for data that we are not going to give a benefit to them right off the bat.”
Solmaz ShahalizadehJun 12, 2019▶ 19:07Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
Disclosure
Shahalizadeh: Shopify incurred technical debt by jumping straight to ML
“And there has been times that even us, we've sort of, like, jumped to the top top in one of the areas, and you pay the technical debt that you did not do the work in the beginning.”
Solmaz ShahalizadehJun 12, 2019▶ 21:22Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
AssertionNot checkable as stated
Shahalizadeh: Shopify ML models are built for individual merchant use cases
“So actually all of our machine learning offerings that I was talking about are actually built for the individual use case of the merchant.”
Solmaz ShahalizadehJun 12, 2019▶ 29:03Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
Made with StarZero
Turn any episode into a week of clips.
This entire site, over 400 conversations transcribed, diarized, checked and made playable,
runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the
moments worth sharing, cuts them, captions them, and reframes them for every feed.
We use essential cookies to make the site work. With your permission we
also use analytics cookies (Google Analytics and Mixpanel) to understand
usage and improve StarZero. See our Cookie Policy.