How does "R language" compare to searching for one of the popular R packages? Searching for "tidyverse", "dplyr", or "ggplot" seems to get a good chunk of hits. That being said, yeah, there does seem to be a trio of skills that often go together (R, python, SQL)

If you search specific packages on LinkedIn the number of jobs is usually very small

E.g. tidyverse or dplyr is like 20-40 jobs. ggplot is 88. There's definitely way more than 100+ companies looking for R-heavy users.

I tried using "r" (with quotes) on indeed, and got some hits where R was listed as one of the necessary skills.

Perhaps #rlang would work? Or #tidyverse if you are feeling tibblish :)

There are hedge funds that like hiring people who know how to manipulate data in R using dplyr and data.table

Looking for a similar job where my desire/interest to spend all day in Rstudio is a value add to a business

With apologies if this breaks guidelines: https://hymans.current-vacancies.com/Jobs/Advert/3525353?cid...

Because if you work on a team you need to use a language that the whole team can work with. If I'm the one R guy at a Python shop, it's not going to work out well. It depends a lot on org structure of course. But I think it's telling that the jobs you highlight are mostly academic jobs where the practitioner would be expected to be a highly competent individual working largely alone, or in a very small group, carrying out research on behalf of some stakeholders, and not likely to have to put anything "into production" any time soon.

For example, I used R (data.table) when I was a solo data scientist working on a consulting project where I needed to work with a dataset on the order of a few billion rows. I had nobody around to constrain my choice of tools, so I went with whatever felt convenient, familiar, and ergonomic for getting the job done.

Today, I am on a team of 5 other people, none of which know a lick of R, and my code needs to run in production pipelines that need to at least in theory be debuggable, auditable, fixable, etc. by people other than me. Therefore I use Python, because we are a Python team and that's the language that we use, end of story. (Python also happens to be a good choice on our team for other reasons, but that's not the point here).

Maybe the best industry where you are likely to find people doing "production" work in R is some form of insurance. But even back in 2017-2020, things were shifting towards Python at the one P&C company I worked for.

Lots of quantitative research uses R. It’s still very popular in the industry.

Insurance is also still using a lot of R. Actuaries I know still use it, and they talk of Python, but I don’t see anyone actually moving to using Python.