Data Science VS Machine Learning | Are you a DS if you don't do ML? | Who does ML&AI day to day?

Controversial topic alert!
A lot of people seem to think that being hired as a Data Scientist means that you'll deploy Machine Learning models and research AI applications. But in many companies that's not actually the case!
Here I am reviewing requirements and responsibilities for "Data Scientist" roles in some of the FAANG companies, choosing those as a proxy for big tech companies with a lot of data to play with.
The reality is that what you will actually do at your job depends more on the size and data maturity of the company than the name of your role.
As a rule of thumb, unless ML IS THE PRODUCT, in smaller companies "Data Scientists" will do all things data, often falling into Data Engineering, Analytics, and Product/Project management.
The bigger the company - the more roles are diversified, there you can find specialized ML Engineer, AI Researcher, and similar roles.
Yet, many companies still want to hire people who know advanced Statistics and ML as Data Scientists, even if they haven't reached the relevant level in the data hierarchy of needs ¯\_(ツ)_/¯.

If you want to make sure you will apply your ML knowledge at your job on a regular basis, not just when you find a rare opportunity that fits business needs, look into Machine Learning Engineer/ Software Engineer / AI Researcher roles like those: (relevant as of August 2021)
https://www.uber.com/global/en/careers/list/104971/
https://www.uber.com/global/en/careers/list/106202/
https://careers.google.com/jobs/results/142098489644327622-ai-engineer-google-professional-services/?company=Google&company=Google%20Fiber&company=YouTube&employment_type=FULL_TIME&hl=en_US&jlo=en_US&page=2&q=data%20scienc&sort_by=relevance
https://careers.google.com/jobs/results/76746284448260806-machine-learning-solutions-engineer/?company=Google&company=Google%20Fiber&company=YouTube&employment_type=FULL_TIME&hl=en_US&jlo=en_US&page=2&q=data%20scienc&sort_by=relevance
https://www.facebook.com/careers/v2/jobs/653619065421656/
https://jobs.netflix.com/jobs/81255664

Data Scientist roles for comparison require advanced statistics knowledge, but not necessarily applied knowledge of Machine Learning and AI:
https://careers.google.com/jobs/results/119449168587432646-data-scientist-engineering/?company=Google&company=Google%20Fiber&company=YouTube&employment_type=FULL_TIME&hl=en_US&jlo=en_US&page=2&q=data%20scienc&sort_by=relevance
https://careers.google.com/jobs/results/130722136667890374-data-scientist-ads-measurement-research/?company=Google&company=Google%20Fiber&company=YouTube&employment_type=FULL_TIME&hl=en_US&jlo=en_US&page=2&q=data%20scienc&sort_by=relevance
https://jobs.apple.com/en-us/details/200224330/senior-data-scientist-proactive?team=MLAI
https://careers.king.com/jobs/job/r006250-data-scientist/
https://www.facebook.com/careers/v2/jobs/260009342361442/
https://careers.google.com/jobs/results/103340634112172742-data-scientist-engineering/
https://www.lifeatspotify.com/jobs/senior-data-scientist-consumer-experience-2

There are some companies that break the rule, like Amazon, here they say a DS will be "Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements..."
https://www.amazon.jobs/en/jobs/904513/data-scientist
If you want to educate yourself on the variety of Data roles and their importance at the different levels of the company, I strongly recommend you to check out Cassie Cozyrkov's blog.
https://towardsdatascience.com/which-flavor-of-data-professional-are-you-5e01375584ce
and https://decision.substack.com/p/analytics-the-complete-minicourse

Damsel in data: https://www.youtube.com/watch?v=E1pNOqyq8s8&t=452s

00:00 Will you do ML as a DS?
00:26 Which companies actually need ML&AI Specialists?
02:25 Looking at actually posted DS roles. Do they say you'll do ML?
02:46 Facebook Data Scientist
07:25 Facebook Machine Learning Roles
08:54 Google Data Science Roles
12:28 Netflix Data Science Roles
13:36 Netflix ML Research Scientist
14:40 The reality of transitioning from DS role to doing ML
16:06 How to make sure you'll do what you expect and want to do, regardless of the title

Видео Data Science VS Machine Learning | Are you a DS if you don't do ML? | Who does ML&AI day to day? канала Anastasia K