Our world generates more data than ever and shows no signs of letting up, which means the demand for people who can work with that data will also keep growing. But, to attract data scientists, you need to pay them and pay them well.
Additionally, U.S. data scientists' salaries can vary by state and company, expanding the search with more variables. So, searching for the best-paying data scientist position can be a potentially daunting task. But cheer up because help is on the way! We have researched the best U.S. data scientists' salaries and present them here. But before we look at those numbers, let’s pause for a quick definition review:
What’s a Data Scientist?
Data scientists are analytical data experts who combine the traits of a trend spotter, a mathematician, and a computer scientist. They use their skills to collect, analyze, and transform data into workable solutions for everyday business problems. Their duties include:
- Collect vast amounts of data (e.g., Big Data), and turn it into a useful format
- Spot order, trends, and patterns in data to help a company’s bottom line
- Use data-driven techniques to solve business related-problems.
- Have a solid grasp of statistical tests and distributions
- Communicate and collaborate with IT personnel, team members, stakeholders, and management
If you want to learn more about what it’s like to be a data scientist, check out this article.
Also, there are many positions available that are related to or overlap the role of the data scientist. Occasionally, companies refer to data scientists by entirely different names! Here is a list of positions that share an affinity with data scientists.
- Data analyst
- Data science/analytics manager
- Database administrator
- Big data engineer
- Data mining engineer
- Machine learning engineer
- Data architect
- Hadoop engineer
- Data warehouse architect
- Manager of market intelligence
Enough job reviews. Let’s dive into those U.S. data scientist salaries!
Data Scientist Salaries in the U.S.
Let’s begin with a broad list of the top-paying states for data scientist jobs. Naturally, like any other list, the entries are not absolute; there are always statistical outliers. But, as of March 2022, Ziprecruiter has declared the following as the top ten best-paying states, in descending order:
- New York $132,826
- New Hampshire $128,704
- California $127,388
- Vermont $121,599
- Idaho $120,011
- Massachusetts $119,234
- Wyoming $118,644
- Maine $117,802
- Washington $116,118
- Hawaii $115,887
Let’s move away from the big picture and instead focus on the nine highest paying cities for data analysts in the United States, as reported by Indeed. These entries include what companies you can find there and what positions they’re hiring for, if applicable.
All salary figures are annual averages, also factoring in an average number of years of experience.
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New York, NY: $152,819
Selby Jennings
- Analyst: $181,213 per year
- Financial Modeler: $167,041 per year
Two Sigma
- Analyst: $186,689 per year
Apple
- Analyst: $68,048 per year
- Senior Analyst: $131,915 per year
- Senior Data Scientist: $235,377 per year
- Management Analyst: $149,466 per year
Airbnb
- Senior Analyst: $126,195 per year
-
San Francisco, CA: $137,748
Although there is very little salary information for many of Meta’s open positions, statistics show their average salary comes in at $195,852 per year.
Meta
- Director of Data Science: $260,000 per year
Intuit
- Data Engineer: $155,386 per year
- Database Engineer: $107,262 per year
- Data Warehouse Architect: $186,248 per year
- Senior Analyst: $125,581 per year
- Senior Data Scientist: $190,514 per year
- Data Scientist: $162,483 per year
Genentech
- Analyst: $142,447 per year
- Director of Data Science: $136,529 per year
- Senior Analyst: $160,666 per year
- Senior Data Scientist: $206,297 per year
-
Austin, TX: $124,712
Airbnb
- Senior Analyst: $126,195 per year
Selby Jennings
- Analyst: $108,626 per year
- Associate Analyst: $134,699 per year
- Senior Data Scientist: $104,881 per year
eBay
- Analyst: $124,164 per year
- Senior Data Scientist: $213,554 per year
NES Fircroft
- Analyst: $80,000 per year
- Senior Analyst: $83,200 per year
-
Irvine, CA: $119,724 per year
Amyris
- Automation Engineer: $103,907 per year
- Infrastructure Engineer: $142,000 per year
Meta
- Software Engineer: $158,877 per year
- Data Engineer: $175,112 per year
Intuit
- Data Engineer: $155,670 per year
- Database Engineer: $107,262 per year
- Data Warehouse Architect: $186,248 per year
Proofpoint
- Data Scientist: $191,024 per year
- Senior Data Scientist: $185,192 per year
- Senior Analyst: $176,995 per year
-
Atlanta, GA: $116,544 per year
Apple
- Senior Data Scientist: $242,573 per year
- Senior Analyst: $131,915 per year
- Statistician: $108,423 per year
Airbnb
- Senior Analyst: $126,195 per year
Selby Jennings
- Analyst: $108,626 per year
- Predictive Modeler: $118,367 per year
- Senior Data Scientist: $104,881 per year
eBay
- Analyst: $124,164 per year
- Senior Data Scientist: $213,554 per year
-
Washington, DC: $111,034 per year
Airbnb
- Senior Analyst: $126,195 per year
- Senior Analyst: $108,810 per year
- Senior Data Scientist: $178,840 per year
Target
- Senior Data Scientist: $143,377 per year
- Lead Data Scientist: $145,039 per year
- Senior Analyst: $95,164 per year
- Management Analyst: $83,000 per year
- Associate Analyst: $80,035 per year
Novartis
- Senior Data Scientist: $177,885 per year
- Senior Analyst: $102,830 per year
-
Chicago, IL: $111,842 per year
Airbnb
- Senior Analyst: $126,195 per year
Verizon
- Junior Data Scientist: $108,293 per year
- Lead Data Scientist: $66,337 per year
- Senior Data Scientist: $160,433 per year
- Entry Level Analyst: $74,728 per year
-
Houston, TX: $105,775 per year
Airbnb
- Data Scientist: $179,694 per year
- Senior Analyst: $126,195 per year
- Senior Analyst: $125,851 per year
- Senior Data Scientist: $190,514 per year
DW Simpson
- Senior Data Scientist: $136,567 per year
- Predictive Modeler: $152,829 per year
-
Los Angeles, CA: $97,720 per year
Intuit
- Data Warehouse Architect: $186,248 per year
- Database Engineer: $107,262 per year
- Data Engineer: $155,670 per year
Proofpoint
- Data Scientist: $191,024 per year
- Senior Data Scientist: $185,192 per year
- Senior Analyst: $176,995 per year
- Analyst: $134,470 per year
Pacific Gas and Electric Co.
- Data Scientist: $189,000 per year
- Senior Data Scientist: $212,307 per year
- Analyst: $146,230 per year
- Senior Analyst: $148,226 per year
Remember that these positions and salaries can change every week, sometimes even every day! However, this gives you an idea of what’s out there and the U.S. data scientist salary range you can expect. Good luck!
Choose the Right Program
Make an informed choice and accelerate your data science career by selecting the ideal program that aligns with your goals and aspirations in the field. We have provided a detailed comparison of our courses to assist you in this process.
Program Name Data Scientist Master's Program Post Graduate Program In Data Science Post Graduate Program In Data Science Geo All Geos All Geos Not Applicable in US University Simplilearn Purdue Caltech Course Duration 11 Months 11 Months 11 Months Coding Experience Required Basic Basic No Skills You Will Learn 10+ skills including data structure, data manipulation, NumPy, Scikit-Learn, Tableau and more 8+ skills including
Exploratory Data Analysis, Descriptive Statistics, Inferential Statistics, and more8+ skills including
Supervised & Unsupervised Learning
Deep Learning
Data Visualization, and moreAdditional Benefits Applied Learning via Capstone and 25+ Data Science Projects Purdue Alumni Association Membership
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Do You Want to Become a Data Scientist?
So you’ve seen the kind of opportunities and salaries available to Data Scientists and related positions and decided that it’s the career for you. Now what? Well, it’s time to get the needed skills in order. Luckily, Simplilearn has what you need. Caltech Post Graduate Program in Data Science, powered by Simplilearn, can get you started on this exciting career path.
The Data Science Bootcamp, held in partnership with Caltech’s Center for Technology and Management Education (CTME) and IBM, covers essential Data Science topics such as Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization Tools. The program uses an interactive learning model incorporating live sessions by global practitioners and practical labs.
Thoughtfully designed for working professionals who want to master data science, the program features masterclasses by distinguished Caltech faculty and IBM experts, including exclusive hackathons and Ask Me Anything sessions hosted by IBM.
Our data-hungry world needs more data scientists. Could you be one of them? Visit Simplilearn today and find out!
