are you currently searching for a data science job and struggling well you are not alone because
job search for a data scientist role is hard and i have talked about in so many of my previous videos
why it is so difficult the job search process and the interview process
so in one of the big reasons why it's difficult is because the titles do not
match from one company to another company so a company x would call a data scientist
data scientist the company y would call a data scientist data analyst
or a machine learning engineer so the titles do not match the job descriptions do not match
which means you have to do your own research when applying for jobs to make sure that
it's aligned with your skill set because it's possible that you apply to a data scientist job by
just looking at a title but when you actually go to the interview it turns out to be something else
so in this video i'm actually going to go through my process how i narrow down the jobs and how i
do my research to kind of like figure out if this is the role that is aligned with my skill set and
it's the role that i want to pursue okay i'm gonna record my computer screen i have my laptop here
so i don't have my proper setup so i have the setup on my lap so like if i look down that's
what i'm looking at i'm gonna record my screen so i will make sure that you will also see my screen
in terms of like what i'm looking at so let's say in terms of like the job that i'm searching i'm
searching for a data scientist generalist a data scientist generalist is basically a combination of
various different roles but they understand data science they understand advanced statistics they
understand machine learning and they are able to solve business problem using the machine learning
and advanced statistics couple of things i want to look out for which is like super common that
happened in the past some of the roles are applied scientists but they are labeled data scientists
applied scientist is basically somebody who is a software engineer times the data scientist so they
can like deploy in production why couldn't i say it and then sometimes the rules are titled data
analysts data scientists but they are actually a data analyst role it's very analytics focused so
i want to watch out for that as well because i don't want to be just doing like reporting and
sql under a data scientist title uh which is not the right thing to do so what we're
going to do is we're going to go to i'm going to start recording my screen okay so i just search
data scientist jobs in google and i landed on this page so i'm going to type in here data scientist
all right so i landed on bunch of these jobs here i'm going to click on data scientist right here
okay so now it has narrowed down these options for me so i'm based in seattle so that's why
it's narrowing down it's automatically narrowing down the jobs that data scientist jobs that are
open in seattle so this is a job let's this is the first job that i come up with is that the results
show is data scientist uh role in ebay let's go through the role was open four days ago so let's
go through quickly so the way let's say if i'm applying for the job the way i would quickly
look i will look for the qualification and the responsibilities to fully understand like what's
happening so here the qualification is five years experience successfully solving real world problem
strong mathematics statistics experience and predictive analysis proficiency in sql handling
large data set proficiency in python and our strong interpersonal skills okay so those
are the qualification responsibilities using machine learning to determine delivery dates
improving how fast delivery impacts applying machine learning you will directly be responsible
for improving e-based shipping science design and implement end-to-end solutions using machine
learning and conduct experiments collaborate with other researchers communicate your methodologies
estimate building research okay well just i quickly glimpsed through it uh just with
all of you so it's so far it seems like it's like a it's like um it's like it qualifies
for a data scientist a generalist role so by the looks of it i can go ahead and apply but
i do want to do one more check before i do that so for that i like to go on glassdoor
and on glassdoor i would search for data scientist at ebay so let's see what i come up with
here what i'm looking for is somebody who has done um who has like interviewed for this role and they
have left their interview experience and a few questions hopefully because i the reason i want
to look at those questions because it's going to give me an idea what they're going to ask me
in the interview and what i should be expecting because sometimes the job description doesn't
give it away but the interview uh questions will give it away how how analytics focused and how
statistics and ml focus this role is so let's do that so here is the basically the interview
i'll click here interview and then it's already pulling the data scientist interview questions
and so what i'm going to do here is i'm just going to go through some of these interview
okay so um basically they interviewed and one of the questions didn't share
everything but one of the questions that they shared is bias and variance trade-off
favor ml model and why okay that sounds fine to me um the second interview is also around questions
on machine learning so again like they're not posting the actual interview questions some
of them do but like most of them will just give you a high level idea in terms of what was asked
the third one how might you impute missing data here okay statistics questions
and how would you identify potential customers in e-commerce kpis to be considered take-home tests
classification modeling you need to submit the code a presentation and a write-up okay
implement a logistic model for a data for a data set okay well so so far just looking
through these questions um i actually feel confident with this role it does seem to
be very statistics and ml heavy uh which i think is a good thing so um and those are the things
that i would be looking for when i'm trying to figure out if this job is actually a pure data
scientist generalist job or not so this a check mark let's take a quick pause to thanks today's
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all right let's go to job number two and for job number two let's pick let's go back to the
search page and let's pick one more job and see if that works i wanted to do one for meta because
that one is always interesting so i wonder if i can meta
there oh there it is okay so when i look for meta there's a few rules that pop up research data
scientists oh this is new like before when i was i looked when i was job searching about a few years
ago two three years ago they didn't have that role so research data scientists and then data
scientists okay so maybe they have and then they have something called data scientist analytics
okay so maybe the ones that are this is here and then here they have kind of like um it seems like
they have divided the data scientist role itself into multiple letters um and i actually did a
video on this where i highlighted how airbnb is doing a great job they have divided their data
scientist role into three different ladders uh one is analytics second is inferential statistics um
and then the third one is machine learning so i'm gonna link that video here you can
watch that but i think like airbnb actually doing a wonderful job there and i can see
now just looking at these roles it seems like facebook is also trying to follow that model
let's click on data scientist analytics yeah okay so going to the qualification this role
is the ideal candidate will have passion for working with in white space including impact
for ground up in fast-paced environment blah blah blah degree in analytical feed
field okay so there's like analytical field so engineering mathematics so if you notice like
this is the second job that we're looking at and there's like no phd requirement which is a topic
that i wanted to do and i'll i'll probably probably record that video right after this
um but i think this is like a myth in terms of like the phd and the data scientist role
requirement and there are certain cases where you need a phd but not everywhere i'll deep dive into
more into that okay six years hand on experience analyzing okay that's a lot of experience six
years advanced sequel six years scripting six years working with visualization tools wow so
okay the visualization tool is actually giving it away that this is more going to be dashboarding um
which i try i personally try to stay away from six years experience end-to-end managing
leading many cross-functional proven thought leader advanced communication
okay and then the responsibilities include in this role your primary responsibility partner with key
stakeholders uh data center footprint responsible for leverage data and business principle
okay so just by looking at this this is actually a perfect example of a data analyst
times a data scientist because if you look through the job description it basically
is saying that they need somebody who's like really good at data analytics
and is also familiar and good with data scientist role itself so they're looking for two in one um
which works great if that's something that you enjoy doing so now let's go to glassdoor itself
and look for although i don't know if i'm going to be able to find this title specifically but let's
see what we find so i'm going to go incognito window and then i'm going to say data scientist
not facebook meta interview
okay so glassdoor again is the first one that pops up so i'm going to quickly go through the
interview questions here so this is for data scientist role at meta so here the interview
question is they were given a table and sample rows and table and sample rows and then over the
question is over the last days how many users made more than 10 searches okay this like seems like
a sequel problem you notice that number of users clicked on search results this is more of like a
problem-solving um team when such as okay so so far it's like very data analytics heavy
introduce yourself okay well that's not helpful sequel questions about data manipulation okay so
just by looking through this it seems like this rule is very sequel heavy just by the interview
questions itself and i think the job description itself we kind of figured out this is very like
data analytics heavy role so even though the title says data scientist comma analytics
this is actually you can say is a data analyst with who knows how to do data science
i don't know if that makes sense uh basically the requirement is that if the problem is given
they should be able to solve it because they know understand data scientist role but the
majority of the work at least from the interview uh questions seems like it's very sequel focused
just by going through these two job descriptions you can actually see how different even though the
titles were pretty much the same the requirement is completely different and then when you look at
the interview question itself it actually gives you a better idea of what the role actually is
because the think about it a role that is open and their interview questions are primarily sql
heavy which includes like you writing sql nothing wrong with it it includes writing sql joins so
then that gives you an idea of other people who have interviewed for this role and are currently
working in that data scientist role they basically are coming from that background so um and then
compared to the first job that we saw at ebay that was very statistics and machine learning heavy and
you can actually see in the interview questions that it was very uh focused on those concepts
and that also gives you an idea that people who have been able to pass the interview get the offer
are people who understand advanced statistics and machine learning very very well let me know
if you have any tips that you personally use to figure out if this role is actually matches as to
what the title is saying if you find the content in today's video helpful make sure to give this
video a thumbs up and subscribe to my channel if you want to hear more about data science tech
everything else in between let me know if you have any questions or if any suggestions for
future videos like this if this was helpful maybe i should do a part two of this and feel free to
send me job requirement that you want me to go through and maybe we can do that together and so
with that i hope you're having a beautiful day and i'll see you in the next video have a good one bye