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Hello,
I have salary discussion round with Tiger analytics for data science role, Toronto
I had a few things that I wanted to know before I join:
1) How much compensation should I ask for? Also how does the structure look like for DS roles (base+bonus+equity) . Can I ask for a joining bonus?
2) Is travel a part of data scientist role at TA?
3) also how easy it is to move to analytics consulting role from data scientist within the firm?
Tiger Analytics
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SAS has become extinct, don’t waste time learning it. Try to learn python instead.
R
R, SQL and python
Without an iota of doubt, R.
SAS still used in financial, healthcare industries but getting extinct.
R is more of a statistical language. You can do all your Machine learning in that as well but Python is better for that. But overall, using R would mean that your stats, ML concepts will be used well and also visualization(ggplot2).
Almost certainly R, especially if your end goal is not to be a full time programmer and you just want it available as a tool.
That said, SAS isn't dead and still has a lot of value in some areas (and the sas company is still actively developing it and moving forward). Skilled SAS coders can make good money with easy hours... But not quite consulting money.
And as a user of both, I prefer processing and cleaning ugly data in SAS most of the time, but modeling and graphing are better in R.
Exactly. I thought SAS was good stuff back in the days working in banking, and it is easier than R in my opinion.
It’s hard to justify the price tag though, so lots of industries moving away from it.
R is more widely used. Some industries still use SAS, but that population is pretty small
Neither .. go deep in python based ml
Learn tidyverse within R, even if they aren't teaching it in class.
Mainly credit risk people use SAS but there is a push at banks at the moment to push people to R due to cost. Learn R and Python both are easy to pick up
Switching from an obsolete tool to a nearly obsolete tool is the most risk management thing ever
Coach
Skip both and learn python, it’s the only language you’ll need
Python, learned r in grad school haven’t used it or seen it used once on the west coast
If you can’t do Python, go with R. Enterprise coding platforms are a thing of the past, SAS is becoming obsolete rapidly.
Dido to all the above, SAS is dead, R is lagging, no one out west uses it so if you are west coast DO NOT LEARN R. East coast still uses R to some extent in finance and academic circles but rapidly declining, loved using r but studied out east, really regretted it after I started working out west, python is king now
Coach
The only advantage about learning SAS in school is if you are going to get a job where you know you will need it e.g. pharma. Since it isn’t open source it’s hard to learn on your own. R is overtaking these last few holdouts though.
In terms of R vs Python, it depends on what you are doing I think. Python is unfortunately lacking in a lot of cutting edge stats, but as others mentioned is dominant in the tech world and you will need it for deep learning.
Honestly the differences between R and Python at a base level is minimal, it’s learning the different package ecosystems that takes time. R’s tidyverse makes things super simple to pick up, so learning Python may be worth spending more class hours if you have to choose.
Industries that used SAS are switching (and have already switched) to open source tools like R and Python. I’d say R if you want to use it in any industry (whether health or banking or insurance or ops) no matter how big/small (or new/old) the company is. Plus if you wanted to learn Python eventually, the concepts are very similar.
Without doubt python
Banking sector requires SAS, but yes python is the almighty language. I would say be bilingual and learn r and python.