Amazon is an example of data-driven experimentalist companies constantly reinventing algorithms. Exploring industries like transportation, health, and manufacturing and reinventing the electric car industry by applying first principle thinking.
The interviewee expresses his love for the space of math and data, but admits that his time is mostly spent with his young children as parenting takes a lot of energy and time.
This episode explores the importance of data in our daily lives. It looks at how the human brain processes data, how loss of data can affect our stability, and how data is important for us to function effectively.
Intelligence in data science goes beyond coding and algorithms; humans are needed to creatively and ethically analyze data and understand user behavior. This includes theorizing about data generation and understanding the impact of company policy and incentives on user behavior.
The combination of strong theoretical knowledge in computer science and statistics, paired with practical software engineering skills, is necessary for success in data science.
