Why would you make your analysis with 2018 data which is likely heavily outdated at this point? Also, why didint you include other cloud platforms?

The job description data is from Kaggle, which only included 2017-18.

Minimum $100k?! Sounds like I gotta start looking at who's hiring!

This is kind of misleading, nobody is going to hire you if you only know SAS or Tableau lol if a data science position pays six figs you will have to know way more and have years of experience in 2023

Data science is a lucrative field. You can get similar salaries with a lot of software engineering jobs too, with a slightly lower barrier of entry.

I'm currently in data science, I do not make 100k for knowing Power BI

Listing both Git and CLI as a skill raises some questions

I'm curious. Why is that?

I'm more concerned CLI is mentioned as a skill (or git for that matter).

One of the most valuable lessons I've ever had in life was that I undervalued myself significantly. It's extremely common.

During my consulting years, I was at a sales kick-off, and felt a little out of place because the people around me were throwing money around like it was going out of style. Lucky for me, my manager noticed and pulled me to the side. He gave me a ballpark for how much I was actually bringing in to the company, told me to accept it like everyone else there, and to go have fun.

Years later, when I was ready to stop traveling, I decided to just try something on a whim. Worst case, they'd laugh and I kept doing what I was doing. So I picked a client I liked, wrote down what I considered to be an absolutely ludicrous salary, and handed it to someone there. Within an hour, they'd created a new position and accepted me with no arguing whatsoever. Since then, I've done the same thing 2 other times, and it's worked both times.

My point is, whatever you're making, or whatever you think you're worth right now, it's probably nowhere near the real value. So long as you're well rounded ish and have non-horrible people skills, then it's entirely possible that you're selling yourself very very short.

My unsolicited advice? Try to get laughed at. Take your salary, bring it up 30 percent, then start sending it in with your resume. You might be surprised how often it works.

Right now, my main goal is to stay at a company for more than a year, since that's the biggest thing lacking in my resume. But once that's checked off the list, I will absolutely take your advice. I look forward to seeing the results.

Well, CLI is more like basic knowledge. If you know how to point and click, you know GUI. If you know how to enter, edit, move between and possibly chain commands using text entry, you know CLI.

But you don't really know how to work any actual program without learning is switches and manual.

You could argue that CLI is a skill, but nobody generally puts ability to read and write in their native language on their CVs, sorta. Rather. CLI is a basic prerequisite. IMO. at least.

That's interesting. FWIW I think I recall seeing jobs listing CLI along with automating tasks like data processing or ETL.

That sounds entirely reasonable and I wish you the best. Good luck!

You need to use the command line to run any program in any language. Like the other commenter said, you aren’t a programmer if you don’t know how to use a command line.

That was kind of my point

Well, both are pretty basic stuff for most IT job

Data scientist is a broad title. Unfortunately companies seem to list AI, data engineer, and data analysts all under that umbrella.

For real, I’ve got an offer for a senior position with $90k pay.

Haha, even Power BI is paid better than fucking SaS.

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Not what the numbers say, most avg salaries are in the 80s range nationwide. You are looking at outliers

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Part of what makes data beautiful is finding more recent sources

Somehow I thought you meant the combination :). Late...

Something tells me the people who put CLI on their resume tend to have been working in the industry for years. That would probably account for the higher wage.

If only one could rely on Glassdoor salaries as an accurate representation of pay for any position. Multiple articles are out there showing GD salaries are unreliable.

why py and R are not separated ? in my own profession R is slowly but surely being replaced for example...

Looks like I should improve my Python skills :)

I found that many jobs in the dataset listed both R and Python together.

sure sure, they are used for the same purpose most of the time (quick and drty but efficient data processing/viz). But not by the same persons ^^'

An example in biology is that R is often used by the bio-informaticians for their analysis (legacy code, LOT of packages etc...) but when an application is needed for biologists... Well py may be quicker ! Not always true (clearly) but i is just an example