There are some websites where data scientists and machine learning engineers
or software engineers post their own salaries and based on these websites
we will see as of 2021 how much salaries data scientists
and software engineers are getting let's start.
the first website we are going to look at is labels dot fyi
let's say you are looking for a data scientist salary
in Bangalore you you can just remove this filter
okay and you see all the salaries of data scientists
in Bngalore based on companies the seller is of course varies if you short
this icon here you will find that okay these are senior
software engineer salaries but if you look at this particular one
walmart labs it says ML AI most likely data scientist or ml
engineer 13 years experienced person gets 115 000
which in Indian rupees will be close to 80 lakh rupees okay then Linkedin
this is senior software engineer uh in ML and AI space generally
ML and AI engineers make the highest amount of salary
then comes software engineers then comes data scientists
and again based on skill experience location company
things can overlap. but I like this rather than going with some median
salary because this gives you a precise idea let's say I'm applying
in Goldman Sachs right and I can expect at least this kind of compensation
okay for one year experience let's say so you can just explore this look for
various titles let's say software engineer again in Bangalore
when I search for that if I sort this Uber engineer L5 let's say makes
215 000 which will be
1.5 crore. So yes this is real they make 1.5 crore rupees a year so you
can see there is so much opportunities especially if you are working for
a product based company you can also take a look at LinkedIn. I'm searching
for data scientist salary in india it will give you a median salary eight lakh
fifty thousand rupees a year mu sigma okay this company offers this much
median salary breakdown of sign on bonus annual bonus and so on
but these are median numbers and I personally like
websites like this where I can get accurate numbers
based on a company see these numbers are kind of
very very general and aggregate of all these companies okay
and the way this these websites derive these numbers
is people post salary let's say I'm working in Uber
I will go create a login post my salary here and they will
aggregate that data so these numbers are quite accurate
one more website is steamblind.com this is not just for salaries
but it it is general kind of like almost like sometimes I
feel like gossiping around technologies because if I look at
tech all the tech posts here
you know you will find things such as why Bill Gates and Melinda are
getting into a divorce you know so that kind of thing
but then you get to learn about different salaries
you know people's experiences like HR experiences
and different offers comparing different offers as well
for example I click on amazon L6 here someone is discussing his amazon L6
offer the person is given tc means total
compensation of 436k base is this much sign on is this
stock whatever and then people here are
commenting on whether this is a good package or not all right so again go to
tech you can look at all this you can look at
India salaries of course salaries in India
you can say okay L6 Amazon India salary okay what are the numbers and the
numbers are close to one crore so I know like Amazon
if i you are in level seven level eight you can make
close to one crore now let's look at the salaries in USA
again I'm on levels.fyi website where it is comparing Google, Facebook
Microsoft different levels okay as your experience grows
your level will increase so here at google let's say
level seven engineer will make seven hundred thousand dollar a year by the
way they're not making this up this is real
I know some folks who work for google and these are this is the kind of
money that people make it's a lot of money but
you get selected at google as a senior engineer of course you're going to get
at least 300 000 okay and as your level increases salaries will
obviously increase let's check facebook E7 889 000
you know and the big component of this is stock by the way
and the thing is this tech company stocks
have been just growing since past 10 years
so although it says 8.89 it is likely you'll be making more than this much
okay so it's pretty lucrative market over
here you can compare different companies you can also search
for let's say a specific role okay data
scientist in Austin area or listen New York
okay so data scientists in New York okay how much
do they make all right so data scientist two sigma look at that
two sigma L6 ML AI ML AI most likely they're referring to
machine learning engineers million dollar a year that's a lot of
money million dollar yes this is this is no exaggeration
people make this much money and Goldman like see half a million and
so on oh this is vice president okay so this
is not data scientist but anyways you can refer to all these
salaries another one that we had were Linkedin
which I don't like that much because again they are giving like very
generic see very very generic numbers so
I'm just for curiosity I'm checking data scientist salary in United States
and see hundred and fifty thousand dollar fine but this is very very
generic it doesn't tell me anything specific to it so that
way I think levels dot fyi is better and you can also look at team blind and
team blind you can search for whatever data
scientist maybe and
all data scientists related post again this is like
general question answer forum which happens to include
salaries as well okay let's see whatever
here they they want to know the difference between these three roles and
people would comment so I will go to
tag let's say amazon L6 I want to know the
salaries of Amazon L6 total compensation for 36k
a year okay so similarly you can search for like a different
type of titles let's say google L4 okay google L4 offering
okay how much offering is a couple of poor oh
this is different actually this is not about salary
let's snap L4 versus google L4 snap offer 350k
google offer 255k so you can see people are making
on average I have seen with some experience you can easily make more than
200 000 in big product based companies if you go
to salaries you can compare your salaries with
other salaries I have just I created a login I
entered a fake salary for privacy reason I entered 250k
okay and see it is comparing me with let's say bloomberg
median is 170k max is 345k if you do let's say Google not all
employees okay Google only
let's see only software engineering okay and let's say
six to eight years of experience Google see median is 170k 460k again this is a
base salary and of course there are perks like the
stock options and things like that so you can explore all
this website there is Glassdoor.com as well which has salaries but
again it shows very very generic median salary for that reason i don't like
glassdoor and linkedin that much but team blind and leveraged of fyi
can paint a pretty accurate picture now i don't want you to look at these
big numbers and become dissatisfied with your own salary
that you're getting that's a very wrong mindset
I want you to use this tool as kind of a motivation you know you
want to learn new skills you want to upskill yourself and maybe start working
in this big company then you can on like bigger money but use this only as a
motivation because in the end you want to do
something that you enjoy doing okay you should you'll be much more
happier person so in the end happiness matters
money has an impact but after some level the impact that money can create will
start diminishing so the most important thing you should
worry about is before money whether you are happy at some company
working for some company okay whether there is a work-life
balance I have heard for example in amazon work life
balance is not as great so you want to look at work-life balance perks
the things that you enjoy doing in your career growth as well
other than money I hope you found this video
useful if you did share it with your friends and also keep a reference of all
these websites then salary numbers are changing all the time
thank you for watching