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Hired: Talent VP on Job Interviews, Negotiation & Offers

Jay Feng - The Data-Driven Way to Prepare for Interviews

Hired: Talent VP on Job Interviews, Negotiation & Offers

Hired Podcast

Education, Interview Prep, Promotions, Self-improvement, Careers, Job Interviews, Job Search, How To, Resumes, Business, Cover Letters

4.9638 Ratings

🗓️ 24 March 2026

⏱️ 17 minutes

🧾️ Download transcript

Summary

Jay Feng is a former Data Scientist with companies like Monster and Next Door. Today, Jay is the founder of Interview Query. Connect with Jay! https://www.interviewquery.com/ https://www.youtube.com/c/DataScienceJay Sterile Processing Jobs: https://www.sterilejobs.com/ Surgical Technician Jobs: https://www.scrubtechjobs.com/ Commercial HVAC Jobs:https://www.commercialhvacjobs.com/ Commercial Electrician Jobs: https://www.commercialelectricianjobs.com/ Commercial Ref

Transcript

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0:00.0

Welcome to the job interview experience. I'm a former executive recruiter, search firm owner,

0:06.9

director of talent acquisition. Today, the founder of candidate club interview prep and your host

0:11.4

of the job interview experience. Jay Fang is a former data scientist with companies like

0:17.6

Nextdoor and Monster. Many of you probably feel very familiar with Monster.com if you are on the job hunt.

0:27.4

Jay took that experience and applied it to founding interview query.

0:32.4

Interview query is designed to help other data scientists nail their interviews and get jobs. So if you're tuning in

0:39.3

today, no matter what, our goal is for you to learn something. But if you are in the data

0:44.0

science industry, you're interested in it, you're thinking about pivoting to it. This episode is

0:49.1

for you. Jay is here to give us insight on interview prep, more information on data science and how

0:56.2

you can tell if it makes sense for your career, how to make your resume stand out, and

1:01.8

we got a ton more to talk about. So Jay, welcome to the job interview experience.

1:06.8

Yeah, thanks for having me.

1:08.4

My first question is when a data science, when a data scientist works with data, is it called dating?

1:16.1

Is it called dating?

1:17.4

No, I don't think so.

1:18.9

I think that's another struggle for data scientists, so they don't need to overlap the two.

1:27.3

Jay, when you're not working, when you're not working and you're not doing all this stuff,

1:31.4

we want to get to know you a little bit.

1:32.5

So tell me, like, how do you like to spend your free time?

1:35.5

What do you like to do for fun?

1:36.5

What are you passionate about?

1:38.5

Yeah.

...

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