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Michael Babineau

05/30/19

@ Y Combinator

Successful data scientists are those who question their assumptions and seek to understand the foundations of the data they work with.

Video

YC

Analyzing Billions of Transactions to Understand Consumer Behavior - Michael Babineau and Kevin Hale

@ Y Combinator

Analyzing Billions of Transactions to Understand Consumer Behavior - Michael Babineau and Kevin Hale

05/30/19

Related Takeaways

MB

Michael Babineau

05/30/19

@ Y Combinator

We hire data scientists who possess strong quantitative backgrounds and can approach problems from first principles, rather than just relying on tools.

RW

Richard W. Hamming

08/26/12

@ securitylectures

Great scientists possess a tolerance for ambiguity; they believe in their theories enough to pursue them but also question them to make necessary changes.

RR

Rick Rubin

01/16/23

@ Andrew Huberman

Breakthroughs in science may be based on incorrect assumptions, highlighting the need to question established beliefs.

MB

Michael Babineau

05/30/19

@ Y Combinator

Our interview process includes giving candidates messy data sets to analyze, assessing their ability to identify and address underlying assumptions in the data.

AH

Andrew Huberman

05/28/25

@ Theo Von

Scientists are driven to discover the truth, but they can also be influenced by career incentives, which may lead to biases in how they interpret data.

NR

Naval Ravikant

10/16/20

@ Tim Ferriss

The foundation of science is doubt; if something is not falsifiable, it's not scientific.

SB

Steve Ballmer

06/02/25

@ Acquired

I think the analytics in sports are table stakes; the real value comes from how you use the data and the questions you ask.

GA

Gustaf Alströmer

08/16/19

@ Y Combinator

Build a culture of experimentation where data drives decisions instead of the loudest voice in the room.

GA

Gustaf Alstromer

09/12/18

@ Y Combinator

Experimentation is vital for making informed decisions. Without data-driven experimentation, decisions may be based on luck or guesswork, leading to poor outcomes.