Ken's Nearest Neighbors

Why are Data Science Jobs Disappearing? (Jay Feng) - KNN Ep. 135

Feb 1, 2023

58:54

Highlights

AI Chapters

Episode notes

Tech Company Complexity Isn't Too Bad

03:13

Is There a Second Coming of Data Science Machine Learning Engineers?

02:39

Managing Risk in This Day and Age

02:11

Introduction

2min

How Do You Live a Nomadic Lifestyle?

2min

Nomadic Lifestyle

2min

What's the Difference Between a Startup and a Data Space?

4min

Data Analysts Are Less Expensive Than Data Scientists

2min

Is There a Second Coming of Data Science Machine Learning Engineers?

3min

Data Science Interviews - How Has the Interview Process Changed?

4min

The Machine Learning Process From a to Z

2min

Is There a Shrinking in Non Major Tech Companies and Data Science Jobs?

4min

10.

Tech Company Complexity Isn't Too Bad

3min

11.

Is There a Risk Appetite?

2min

12.

Managing Risk in This Day and Age

2min

13.

The Ability to Make Money Is a Skill

2min

14.

Is the Market Determining Your Income Source?

1min

15.

The Constraints of Your Career

4min

16.

Are You Going to Have to Reevaluate Your Career?

2min

17.

Are You Working on Anything?

5min

18.

Entrepreneurship Is Like a Holy Grail

3min

19.

Entrepreneurship Is More Common Than We Think

2min

20.

Entrepreneurship

2min

21.

How to Use Content Businesses as Leverage

3min

22.

Creating Better Ideas for Your Videos

2min

23.

Is Data Science a Good Career?

3min

Today I had the pleasure of interviewing Jay Feng. Jay is the founder of interview query, a platform that helps you prepare for data science interviews. Jay lives a nomad lifestyle allowing him to work from the beaches of Hawaii to the mountains of Utah. In this episode we dive into the story behind the mass layoffs in tech, why data science job postings are disappearing, and what you should do if you got laid off.

Jay's Links:
🌟 Interview Query - https://www.interviewquery.com/?ref=kenjee
Linkedin - https://www.linkedin.com/in/jay-feng-ab66b049/
YouTube - @InterviewQuery
Substack - https://datastream.substack.com/