data scientists

4 statements across 3 episodes · 1 bullish · 1 bearish · 4 people on the record · first statement Jan 2, 2019 by Alex Rampell · across every show →

Everything said about data scientists, oldest first

Jan 2, 2019
Insight
Hiring specialized data scientists before accumulating data causes high employee churn
“I often advise companies where they say, oh, you know, we're going to hire these five data scientists, but they don't have any data yet. And what they don't really realize is that if these are, if they're data scientists who are happy to take out the trash and…”
Alex Rampell Jan 2, 2019 ▶ 27:33 a16z Podcast | Data Network Effects
Jan 2, 2019 positive
Insight
Large data sets create a talent magnet for top data scientists
“If you're the one with the big giant corpus, you'll attract the very best data scientists because they'll want to dive into that. They'll come up with the right features and the right ideas, and that will be another sort of effect on top.”
Vijay Pande Jan 2, 2019 ▶ 8:08 a16z Podcast | Data Network Effects
Jan 2, 2019 negative
Opinion
Spisak: Business intelligence is on its last legs as analytics shifts
“I don't want to say BI is dead, but it's, you know, it's on its last leg. I think everyone wants to move to more predictions, actionable, prescriptive analytics, and you can't do that when you're just kind of looking at pretty pictures. So I think we're seeing…”
Joe Spisak Jan 2, 2019 ▶ 24:45 a16z Podcast | AI, from 'Toy' Problems to Practical Application
Feb 28, 2025
Assertion Open · timeframe Feb 2026
Ayrey: Data scientists leak API keys more frequently than SREs
“Data scientists leak out API keys and passwords more often than site reliability engineers.”
AI Security Researcher Feb 28, 2025 ▶ 9:18 Avoiding vulnerabilities in AI code
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