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data science team

also referred to as: data science teams

4 statements across 4 episodes · 0 bullish · 0 bearish · 4 people on the record · first statement Dec 5, 2013 by John Foreman · across every show →

Everything said about data science team, oldest first

Dec 5, 2013 neutral
Disclosure
Mailchimp's data science team spends 80 percent of time building tools
“And right now we spend about 20% of our time doing insight, which is just one-off reporting or one-off sort of consulting engagements, and we spend about 80% of our time building tools or capabilities”
John Foreman Dec 5, 2013 ▶ 5:20 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Nov 23, 2015
Insight
Bloom: Very few data science teams prioritize model explainability
“Explainability or interpretability turned out to be a very, very important optimization that very few data science teams will be cognizant of unless they're really thinking about it.”
Josh Bloom Nov 23, 2015 ▶ 8:47 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Feb 17, 2021
Disclosure
Netflix data scientists are free to choose their own tools
“Netflix has this really interesting corporate culture of freedom and responsibility. Which means that our data science teams, they are essentially free to use whatever tooling that works best for them.”
Savin Goyal Feb 17, 2021 ▶ 19:51 Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
Mar 15, 2021
Disclosure
Hanlon: Reddit uses a hub-and-spoke model for data science
“Data science is hub and spoke. So so effectively that is all of those folks report into the director of data science, who's, who's one of my team members and, but they actually, when we're in a, when we're in an office setting, they sit with the downstream tea…”
Jack Hanlon Mar 15, 2021 ▶ 4:38 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
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