Salary ranges are often the first thing people consider when researching a new career. Identifying the market value of a position allows you to validate if learning the skills are worth it. And if you pursue a career in data science, you'll be rewarded with both meaningful work and high pay.
While the average data scientist salary depends on where you are in the U.S., the data shows that this field is well-paid no matter where you reside. If you are looking to make a career switch into data science that includes a move or if you’re curious about the average salary of your home state, we have what you’re looking for.
We gathered data on data science average salary and cost of living index to rank the states that pay the most. Two things to remember are that the cost of living rises and falls each year, and quality of life can vary.
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What are Data Scientists making in 2020?
Nationwide, data scientists earn between $92k - $138k. As of Apr 3, 2020, the average annual pay for a Data Scientist in the United States is $119,130 a year. It’s no wonder that data science careers have exploded recently.
The top 5 states where the annual adjusted gross income is highest include:
- New York - $71,127
- Massachusetts - $70,453
- Washington - $69,961
- D.C. - $69,942
- Alaska - $69,328
The bottom 5 states where the annual adjusted gross income is lowest are:
- Illinois - $58,571
- Arkansas- $58,448
- Idaho- $58,152
- Florida - $57,449
- Missouri - $47,526
Two big tech hubs, Colorado and California, have average data scientist salaries that landed them in the #10 and #11 spots respectively.
|
Rank |
State |
Avg Data Scientist Income |
Cost of living index |
|
1 |
New York |
$71,127 |
139.1 |
|
2 |
Massachusetts |
$70,453 |
131.6 |
|
3 |
Washington |
$69,961 |
110.7 |
|
4 |
D.C. |
$69,942 |
152.1 |
|
5 |
Alaska |
$69,328 |
129.9 |
|
6 |
New Hampshire |
$67,752 |
109.7 |
|
7 |
Hawaii |
$67,692 |
192.9 |
|
8 |
Connecticut |
$67,076 |
127.7 |
|
9 |
New Jersey |
$67,066 |
125.1 |
|
10 |
Colorado |
$66,603 |
105.6 |
|
11 |
California |
$65,973 |
151.7 |
|
12 |
Maryland |
$65,265 |
129.7 |
|
13 |
Minnesota |
$65,177 |
101.6 |
|
14 |
Georgia |
$64,972 |
89.2 |
|
15 |
Iowa |
$64,823 |
90.1 |
|
16 |
Rhode Island |
$64,798 |
119.4 |
|
17 |
Montana |
$64,736 |
106.9 |
|
18 |
Oregon |
$64,723 |
134.2 |
|
19 |
Vermont |
$64,350 |
114.5 |
|
20 |
Delaware |
$64,173 |
108.1 |
|
21 |
New Mexico |
$63,833 |
87.5 |
|
22 |
North Dakota |
$63,540 |
98.9 |
|
23 |
Virginia |
$63,459 |
100.7 |
|
24 |
Michigan |
$63,401 |
88.9 |
|
25 |
Wisconsin |
$63,254 |
97.3 |
|
26 |
Maine |
$63,240 |
117.5 |
|
27 |
North Carolina |
$63,233 |
94.9 |
|
28 |
Wyoming |
$63,023 |
89.3 |
|
29 |
Tennessee |
$63,006 |
88.7 |
|
30 |
Texas |
$62,936 |
91.5 |
|
31 |
Ohio |
$62,871 |
90.8 |
|
32 |
Kansas |
$62,767 |
89 |
|
33 |
Mississippi |
$62,691 |
86.1 |
|
34 |
Arizona |
$62,387 |
97 |
|
35 |
Indiana |
$62,134 |
90 |
|
36 |
Kentucky |
$62,049 |
90.9 |
|
37 |
South Dakota |
$62,029 |
99.8 |
|
38 |
Nevada |
$61,835 |
108.5 |
|
39 |
Pennsylvania |
$61,490 |
101.7 |
|
40 |
South Carolina |
$61,003 |
95.9 |
|
41 |
Louisiana |
$60,912 |
93.9 |
|
42 |
Nebraska |
$60,044 |
90.8 |
|
43 |
Oklahoma |
$59,586 |
87 |
|
44 |
Alabama |
$59,534 |
89.3 |
|
45 |
Utah |
$59,144 |
98.4 |
|
46 |
West Virginia |
$58,726 |
91.1 |
|
47 |
Illinois |
$58,571 |
89.3 |
|
48 |
Arkansas |
$58,448 |
86.9 |
|
49 |
Idaho |
$58,152 |
92.3 |
|
50 |
Florida |
$57,449 |
97.9 |
|
51 |
Missouri |
$47,526 |
87.1 |
The data used here for the national average data scientist salary data was taken from ZipRecruiter and Cost Of Living Index By State from the World Population Review.
Employment Opportunities in Data Science
Average salary data indicates that data scientist job opportunities exist across the nation. Now more than ever, employers are looking for individuals with the ability to ask questions of large data sets, the skills to use the industry tools to analyze and present data, and the curiosity to continue looking for insights.
Working titles of graduates from data science include:
- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Machine Learning Engineer
- Junior Data Analyst
Data Science may sound like a career that can be done remotely, and for some positions this is true. Remote work culture has become more normalized and hiring employees from a whole different state is no longer an anomaly. In fact, if you haven’t looked at any remote data scientist positions so far, the range of options and caliber of companies hiring will pleasantly surprise you.
Data Science Salaries After Thinkful
In a recent long-term outcomes analysis, a first in the industry, Thinkful Data Science graduates showed that before Thinkful, students were earning an average of $53k, and after Thinkful, jumped up to $77k in their first job. After just one year in the field, alumni were making an average of $101k. Check out our long-term student success outcomes for more information.
Making a change that lasts a lifetime
Thinkful’s data science program is offered in an accelerated full time, five-month format and a flexible part time, six-month format. Wondering what Data Scientists do on the day-to-day? Get all the in-depth details on how you can break into the industry, and learn how to become a data scientist.
Data scientists come from all walks of life and the diverse backgrounds they come from only add to the unique insights they find. Python programming expert, Giles McMullen-Klein, went from medical physicist to financial journalist to radio host to data scientist and Python Programmer. That’s quite a professional journey--proof that you can be successful no matter what industry you transition from. Dive into Giles’s story and how he now has a widely popular YouTube channel dedicated to helping others learn Python.
Breaking into data science does require a strong foundation of mathematical skills, critical thinking abilities, and programming know-how. Since 2012, Thinkful has been teaching students data science skills to get into the industry.
Four Skills You Need to Become a Data Scientist:
- Problem-solving intuition: The ability to look at a problem and strategize solutions is essential to be a successful data scientist. As a practicing data scientist, you don't just need to know how to solve a problem that's defined for you, but also how to find and define those problems in the first place. Oftentimes, data scientists don’t look at a problem and know exactly how to solve it. Establishing strong foundational skills helps instill confidence even when the solution seems distant.
- Statistical knowledge: In the field, most data scientists are writing code and using functions and models. A mathematical and statistical foundation is important for understanding the underlying functions.
For example, understanding when variations in the data are statistically significant is critical to confirming assumptions and conclusions about insights. - Programming in an analytic language (R or Python): A conceptual and practical understanding of programming languages is integral to operating successful on the job as a data scientist. Programming allows you to take vast amounts of data and process them quickly in a meaningful way. You’ll also be able to use programming to do things like scrape websites for data or use APIs. Right now some of the most popular languages for data science analytics include Python or R.
4. Curiosity (keep asking why): Questioning data, sources, trends, models, and insights are at the core of data science. This thirst for knowledge keeps data scientists driven in the long run. Rarely is the first hypothesis supported and proved with statistical significance. Diving deeper into data and results allow for findings that may surprise you, or even change your whole view into the root of the problem.
To keep your curiosity working during your transition, research exercises like finding out the average data scientist salary and how to become a data scientist, all help you keep an inquisitive disposition. Giving yourself space for learning or projects outside of your day to day work is a great way to keep yourself curious and inspired.
Start the conversation
Researching a new career is half the battle. Now that you know how well-paid data scientists are, how intriguing and essential data science is, and the skills you’ll need to learn, let’s take the next step to launch your new career.
Thinkful is dedicated to helping you launch a successful tech career and we prove it through our advanced curriculum, one-on-one mentorship, dedicated career coaching and real-world portfolio.
Schedule a call with our admissions reps to have an introductory call at a time that works for you to get started. We will help you choose the right format and guide you through next steps to changing your career and becoming a highly paid data scientist. Our reps can also offer in-depth information on payment and financing options for the course that fits you best.
FAQs
How do I get into data science?
You can get into the field of data science by having a sound knowledge of programming languages such as Python and R. In addition to this, you should also know how to use Pandas library to work with data using Python and have a basic understanding of machine learning and data analysis.
Will a degree help me make more money?
Having a degree might help your chances of getting a high-paying data science role. However, the quality of your experience is still the most valuable asset you can bring to a potential employer. Make sure that the education path you take to break into data science helps you gain the career-focused skills you need to build a high-paying career.
How much do Thinkful grads make?
Before joining Thinkful, the average data scientist can earn an average of $53,000. After graduating from Thinkful, graduates can see an increase in their salary up to $77,000. The average Thinkful graduate salary can grow to $101,000 after one year of completing the program.
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