Data scientists continue to be one of the most in-demand jobs for 2019. In this
data scientist salary guide 2019, find out what you can expect to be paid based
on market predictions and hiring data. Hi, I'm Jen. Welcome to the channel!
Glassdoor ranked data scientist as the number one job for 2018 and there's an expectation
that will carry through into 2019 as well. With a substantial salary, high job
satisfaction, and an ever increasing number of open positions, data science is
a great career to enter or continue growing in during 2019. If you're curious
to find out the difference between a data scientist and a data analyst, check
out the linked video. I talked about data analyst salaries last week. I'll link to
that video in case you're really interested in a data analyst position.
Entry-level data scientist salaries for 2019 consistently hover around $100,000
with $103,000 as the median base pay.
This doesn't factor in bonuses, benefits, and other forms of compensation. At this
level, you're likely new to the role and still developing your skills. You have
some sort of an educational background that's prepared you for the role. You may
also be slightly more experienced, but in an area where there are few data
scientist jobs or at a small company who may not be paying as much to start out.
Mid-level data scientist salaries for 2019 have a median pay of $121,000
per year. At this level, you should have some
experience and be fully capable of performing the job on your own. You may
have to consult someone with more experience in extremely complex
situations, but most of the day-to-day work is stuff that you can do
independently. Data scientists with much higher levels of experience or
specialized experience can expect to make more. This is also true of markets
where there are a lot of job openings and few qualified data scientists to
fill the role. This could also apply if you're entering a large company and
especially one where there's a lot of complexity in the day-to-day work. For
these data scientists, the median salary is $147,000.
In extremely competitive markets or ones that require a significant amount of
experience or multiple, specialized certifications, pay can reach or exceed
$200,000 per year. All of these salaries are just base pay.
This means benefits, bonuses, profit sharing, those sorts of things, are all on
top of this and they can easily add up to tens of thousands of dollars or more.
These salary levels also don't account for location differences which may have
little difference or in certain locations can have massive differences.
For instance, if you're in New York City working as a data scientist, salary
levels are a full 40% than the numbers that I just shared.
In contrast, if you're one of the few data scientists working in El Paso, you're
making or can expect to make about 30% less than these salaries.
If you're working as a data scientist today, how does your salary compare?
Maybe your pay is lower, but you have benefits or bonuses that make up some of the
difference. If you want to know the total value of your compensation, check out the
compensation worksheet in the link below. You can input all of your financial
compensation and it will automatically calculate the value. If you're watching
this video as research because you're considering a data scientist job offer,
check out our negotiation coaching. I'll work with you one on one to create a
custom negotiation plan, walking you through the entire process and teaching
you the negotiation skills and tactics to help you land a higher salary
or more benefits and bonuses. This can make the difference of literally
hundreds of thousands of dollars throughout the course of your data
scientist career.