Most of them.
90% of all data science jobs in banking are just putting reports together with SQL or pandas. 9% of data science jobs in banking use linear regression and maybe 1% use something else
I’d say this is the case with a lot of jobs not just sql
and 100% reason to remember the name
Anything product heavy is usually SQL and reporting heavy, so practically any application, game or web service
Any req that doesn't say PhD preferred. What you're really after is applied or research scientist roles if your goal is to do modeling and use a bit of math.
This is probably a good indicator. Also, not sure if it actually helps (haven't looked), but maybe apply in the sciences or healthcare fields where they really need pure Data Science to solve a problem (e.g. genetic sequencing, etc.). These also tend to have deep pockets too.
I was going to suggest something similar as well. Products that are based on the natural sciences or physics will tend to always require interesting models.
Varies wildly by team. Easiest way to find out is look at LinkedIn profiles and read what people do. Not a guarantee, but it's as close as you'll get to finding out ahead of time. One correction to OP, "advanced analytics" teams usually have both ML and statistics and SQL people. The ML and statistics is what makes them "advanced," but not everyone on the teams does everything.
Coming from a different background (quant Finance) I found the terms ML and DS to be somewhat misleading in the tech world. ML usually refers to ML Engineers (notable exceptions include Microsoft and Google Research) who can build to scale. DS seems to be encompassing just about everything. I interviewed for Staff Data scientist at LI and the stat questions were certainly Ph.D / Post Doc level questions. I explicitly mentioned I do not know Python, SQL or R. At LI, things like variational inference methods, Stochastic Multi Arm bandit and Contextual Bandit are considered well under the DS umbrella. However from what I heard from friends at Amazon, they are considered to be under the ML umbrella. And DS seems to be relegated to SQL querying and such. Would love to hear about this from people at other companies, especially Apple and Google.
Google lol
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Hope you are still floating bro