Thread by @mdancho84

I spent about 1 year studying the #datascience job hiring process, and I found out what works to speed it up.

Here's 1 of 5 things I learned. 🧵

#rstats #shiny

One important part of getting hired is getting your resume to be selected for a manual review.

What does this mean?

Well, according to S&P Global (Fortune 500 Firm, Financial Sector), each data science position gets around 1,000 applicants.

That's too many to go through manually.

So they use automated systems called "ATS".

ATS stands for the Applicant Tracking System, and it functions to select the best N resumes that match the job description.

N is usually set to 50 or 100.

Out of 1000!

So 90% to 95% of applicants get filtered out because the automated system believes their resume is weak.

AND, I learned that the ATS system can be beaten.

In fact, the pic is a #shiny app that I configured to beat the ATS.

And it's helped several students get their resumes picked for interviews time and time again.

I'll be demo-ing the #shiny app along with giving a ton of free advice (#hacks) over the next 2-weeks on these topics:

- Portfolios & Websites (Build one that gets you an interview in 1-hour)

- Resumes Hacks

- Live Interview Tactics (2 Frameworks)

- Take-home Test Secrets

If you want to know more, Register your interest in the course here (gets you 5 free 20-min videos that start next week):

bit.ly/30day-waitlist