To Data Science Infinity and Beyond! | Andrew Jones


April 1st, 2022

1 hr 13 mins 19 secs

Season 19

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About this Episode

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Memorable Quotes from the Show:

[00:20:55] “You need somebody in there to be putting the nuance on that to make it actually work. I think for me as well, like Auto, where ML doesn't have any business sense necessarily, so it doesn't know what problems to solve or it doesn't know why it should solve them. So I think humans are still a huge part of that. I don't think that's going away anywhere soon. It's just an evolution and data scientists are going to start, you know, there's going to be bits where automation comes in and helps us do our jobs even better. But I don't think it's going to take away jobs necessarily. I don't have any particular fear about that.”

Highlights of the Show:

[00:01:18] Guest Introduction

[00:03:20] Where did you grow up and what was it like there?

[00:06:19] When you were in high school, what did you think your future would look like?

[00:07:12] At six foot seven. It's a shame that you did not get into basketball. Is that right?

[00:07:48] Did you start doing analytics in New Zealand or start in London? Walk us through that journey.

[00:10:39] What's the toughest part about transitioning from SAS into python?

[00:16:25] You've been in this field for over a decade. How far has it come since you first broke into it?

[00:19:13] Can you share a hot take with us on where you think the field of data science is headed?

[00:33:29] Talk about your mission to help develop data scientists.

[00:39:28] What makes an employable data scientist different from an unemployable one?

[00:42:07] Where do you think most data scientists go wrong in terms of their own career development?

[00:45:07] “How to choose the right model to train the data?”

[00:49:06 Is there a field within machine learning that focuses on incorporating human concerns through technology development?

[00:51:58] “What advice do you give social scientists that are learning data analytics? Any particular hints for psychologists trying to understand acceptable norms of behavior when creating data science projects?”

[00:54:04] Talks to us about the top five reasons that candidates get rejected.

[00:58:13] When it comes to career growth and development. What's the biggest lesson you learned the hard way that you want to make sure no one else makes?

[00:59:49] It's 100 years in the future. What do you want to be remembered?

Random Round

[01:01:18] What do you think will be the first video to hit 1 trillion views on YouTube? And what will that video be about?

[01:03:29] What are you currently reading?

[01:05:09] What song do you currently have on repeat?

[01:06:30 If you had to change your name, what would you change it to?

[01:07:26] What's on your bucket list this year?

[01:08:40] What's the story behind one of your scars?

[01:09:51] What languages do you speak?

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