thank you HubSpot for sponsoring this video What If data scientist role does not exist anymore data
scientist role is changing as we speak and this has nothing to do with AI if you want to know
how data scientists role is changing and how it's going to affect you keep watching in the
last few months I have been noticing a big Trend across some of the big tech companies where they
have been changing their data scientist role to a point where a lot of data scientists are being
asked to leave the job family I'm not kidding this is actually happening specifically there
are two major companies where I have noticed this trend and we're going to Deep dive into exactly
those two use cases and talk about what exactly is changing as we already know data scientists
is a term that was introduced in 2008 and since then the jaw family has been evolving it is one
of the most popular job families out there and it continues to evolve even after one decade
later but what is happening now is the biggest change that has happened in the last few years
as we already know that data scientist role has a very wide scope it includes Advanced statistics to
research focused projects to analytics Focus work there are so many different avenues that you can
take within the data scientists role space that you're learning would never stop and no matter how
much you know you'll never know enough and that translates into a lot of problems that includes
Creator advancement in the data scientist role job searching and defining the scope so what I
have noticed in the last few months that certain companies have taken specific actions internally
to segment the data scientists role so we know that a data scientists typically work on either
Advanced analytics using statistics or it's machine learning heavy where they do a lot of
research project so what the trend that I've been noticing is there is a further segmentation from
Advanced analytics to research Focus work so an example here that I will give is Airbnb who
actually used to do data scientists job family really really well recently restructured their
entire data scientist or family before this change they used to have three specific areas in the data
scientist Java family one was inference which is basically a b testing and experimentation second
was Advanced analytics and third was research focused in my opinion Airbnb was actually doing
a really good job defining the specialty within the data scientist role and other companies were
combining all of these three things into one but it seems like even for Airbnb it wasn't working
so what they actually recently did they took all these three jaw families and they converged into
two and the way they converged it is they turned data scientists inference data scientists Advanced
analytics into one jaw family and that leaves data scientists research into the other job family now
this jaw family is called Product analyst and this is called data scientist research here you
can see like some of the job descriptions that were posted by Airbnb recently they were for
product analyst role and if you look at the job description in more detail you can actually see
that some of this work is something that a data scientist is asked to do in some other companies
and previously I at Airbnb and Airbnb is not the only company that is making this change one of the
other major companies that had made this change is Microsoft yes Microsoft actually went through
their data scientist jaw family and they decided to segment it into two specific roles similar
to Airbnb they have converged half of the data scientists who were doing Advanced analytics into
product analyst and half of the data scientists that were doing research Focus work and machine
learning work into Data scientists research and they basically made the employees convert from
the data scientist rule to product analyst role and their official title in the system change
automatically because of that transition before we discuss product analysis rule I wanted to share
this free Excel template that has visualizations that you can use on your data set the template
is created by HubSpot who is also sponsoring this portion of the video the template comes
with two Excel files one basic and one Advanced and includes visualizations on graph for single
variable multivariable that you can use with your data for example let's say you have monthly sales
data and you want to visualize sales there are so many ways that you can graph this data looking at
all these plots is actually a really good mental exercise to help you identify which is the type of
visualization and graph that you are looking for that you can use on your data this is the kind
of template that you save it on your desktop on your machine and access it like whenever
you need it I'm linking the Excel template below it's available for free and now let's talk about
the product analyst role so let's take a minute to understand what does a product analyst do product
analyst is basically a mix of data analysts data scientists and product managers they are
core skills involve primarily doing inference like a b testing and experimentation doing
Advanced analysis using statistics and they're typically embedded into a product where their
goal is to basically improve the product using Advanced analytics and that's where the title
comes product analyst then you must be wondering like there is a data analyst role like what's the
point of having a data analyst rolled in um the data analyst would be less advanced than
a product analyst role and data analysts would cover a lot of like reporting and dashboarding and
um a lot of that type of work which a product analyst may do some extent of it but their
primary focus is improving the product that they're assigned to using Advanced analytics
and statistics so is this a good change or a bad change in my opinion it's actually a
good thing that these companies have started making moves to segment the data scientist to
our family further because data scientist is such a huge job family and it has a very wide scope it
is impossible for one person to know everything and there is possibility that you could be doing
Advanced analytics as a data scientist but then you go to an interview and you're expected to
do machine learning and vice versa you you are very wealth worse in machine learning but then
you go into an interview the data scientist role is basically doing Advanced analytics so in my
opinion this is going to segment the job family further and narrow the focus for each person and
consequently is going to help you in your job search and as well as help you in your career
progression because the requirement will be way more defined and for you it would be easier to
kind of like understand what you need to do to get to the next level and same for
managers it's for managers it's easy managers who are managing these people it's easier for them to
also understand what exactly they are supposed to measure you on so in my opinion it's a good thing
so what can you do to prepare there are a couple of things that you can do to prepare first you can
try to understand if you're working as a data scientist what is the type of work that you're
doing are you doing Advanced analytics or you're doing research Focus work and primarily focus on
machine learning in that case regardless of your company makes the change or not it actually helps
you understand what what is your focus area and it also helps you in your future job search and
because you will understand what kind of data scientists you are you it would be easier for you
to basically Target specific roles and basically simplify your job search process and reduce the
ambiguity and the additional work that you would have to do in the current space where the data
scientist rule is very wide and very ambiguous I would love to know your thoughts if you think
there is going to be a major shift in the data scientist job family it is possible that as we
are transitioning as this job family continues to evolve maybe data scientists role would not
even exist anymore because it would be absorbed by other job families what are your thoughts on
this topic let me know in the comments and I will talk to you in another video have a good one bye