People, every show

Jeremy Stanley

Co-Founder & Chief Scientist, Anomalo. On 1 show, 1 appearance. The Shows tab opens the full record on each.

founderscientistexecutiveauthor@jeremystan ↗LinkedIn ↗anomalo.com ↗

Jeremy Stanley co-founded Anomalo, an enterprise AI platform for automated data quality monitoring, after previously serving as VP of Data Science at Instacart. He is also the co-author of the O'Reilly book Automating Data Quality.

1shows
1appearances
12statements
1resolved
0supported
1contradicted
0%fully supported

Everything Jeremy Stanley said on any show that made the record, most notable first. Each card names its show and opens the statement there.

MAD Prediction Didn’t hold up
Instacart projects reaching profitability and positive cash flow by late 2017
“And in the next 12 months, we're gonna be a profitable company, cash flow positive.”
Jeremy Stanley Sep 30, 2016 ▶ 4:50 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Insight
Startups should not hire data scientists before reaching an MVP
“Basically my advice is not to start a startup with a data scientist. You know, focus on getting to MVP, getting some traction, generating some real data, make good decisions early on, and then hire data scientists as you scale.”
Jeremy Stanley Sep 30, 2016 ▶ 22:26 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Assertion Not checkable as stated
Instacart achieved profitable unit economics in summer 2016
“We've achieved profitable unit economics, it happened in the summer”
Jeremy Stanley Sep 30, 2016 ▶ 4:17 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Assertion Not checkable as stated
Instacart's routing models predict Manhattan travel times twice as well as Google
“If you just take the predictions out of Google Maps API, you'll be able to explain about 25% of the variance. If you look at the models that we built internally that use a lot more of our historical data, we can get up to about 50% of the variance explained.”
Jeremy Stanley Sep 30, 2016 ▶ 10:20 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Assertion Not checkable as stated
Instacart grew revenue by 500 percent between early 2015 and late 2016
“Since the beginning of last year, we've grown revenue 500%.”
Jeremy Stanley Sep 30, 2016 ▶ 4:39 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Insight
Unifying objectives into one function beats coarse optimization constraints
“Oftentimes you start out with a system like this, and because it's such a huge space to explore, you put in a lot of really coarse constraints up front. You know, don't do this if x, right? Most of those constraints are reasonable, but bad 10% of the time, and…”
Jeremy Stanley Sep 30, 2016 ▶ 13:30 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Assertion Not checkable as stated
Ninety percent of Instacart customers are repeat buyers
“90% of our customers are repeat customers.”
Jeremy Stanley Sep 30, 2016 ▶ 4:48 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Assertion Not checkable as stated
Instacart's repeat customers spend around $500 per month
“They spend about 500 dollars a month with us”
Jeremy Stanley Sep 30, 2016 ▶ 4:50 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Disclosure
Instacart tests delivery discounts to incentivize demand during off-peak capacity
“Ah, and we're increasingly testing, ah, reversing it, and actually giving discounts when we have a lot of capacity to try to incentivize demand to times when we have lots of shoppers available.”
Jeremy Stanley Sep 30, 2016 ▶ 9:10 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Disclosure
Instacart recomputes routing plans every minute in every market
“We recompute our plans every minute in every one of our markets”
Jeremy Stanley Sep 30, 2016 ▶ 13:21 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Assertion Not checkable as stated
Instacart's 100-person engineering team includes 25 data professionals
“Engineering is around say a hundred people. Out of that there's about 25 that are data related. About five are data engineering. About 10 are analytics, which is really decision science, helping to inform the decisions that the product managers or operations t…”
Jeremy Stanley Sep 30, 2016 ▶ 14:51 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
MAD Assertion Not checkable as stated
Instacart's data stack relies on Postgres, AWS Redshift, Python, and R
“All of our production data is in Postgres, and we will read from the secondaries in AWS. We push all of the Postgres data into Redshift and do a lot of more intensive batch computations off of Redshift. The data science teams are using either Python or R we do…”
Jeremy Stanley Sep 30, 2016 ▶ 17:10 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)

One line per show, most statements first. The link opens Jeremy's full record on that show: the calibration, argument clarity, speaking style and every statement made there.

ShowRole thereEpsStatementsRecord
MADLEDGER Co-Founder & Chief Scientist, Anomalo 1 12 0% 0/1 full record on the MAD Podcast →
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