Experience
Industry
The estimated total pay for a Data Scientist is $156,266 per year in the United States area, with an average salary of $129,055 per year. These numbers represent the median, which is the midpoint of the ranges from our proprietary Total Pay Estimate model and based on salaries collected from our users. The estimated additional pay is $27,211 per year. Additional pay could include cash bonus, commission, tips, and profit sharing. The "Most Likely Range" represents values that exist within the 25th and 75th percentile of all pay data available for this role.
How accurate is this most likely Total Pay range (base + additional) of $130K-$190K/yr?
For Data Scientist
Download as data table
Job Title | Salary |
---|---|
Data Scientist | $156,266 /yr |
Senior Data Scientist | $215,971 /yr |
Lead Data Scientist | $215,311 /yr |
For Data Scientist
Some related job titles are Big Data Salaries with median pay of $119,449, Data Analyst Salaries with median pay of $82,151, Data Scientist Intern Salaries with median pay of $115,074, Quantitative Analyst Salaries with median pay of $173,030.
For a Data Scientist in United States
Below is the total pay for the top 10 highest paying companies for a Data Scientist in United States. Employers include Stripe, Meta and Google.
For Data Scientist
Download as data table
Job Title | Salary |
---|---|
Data Scientist | $156,266 /yr |
Senior Data Scientist | $215,971 /yr |
Lead Data Scientist | $215,311 /yr |
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For a Data Scientist in United States
The top 5 paying industries for a Data Scientist in United States are Arts, Entertainment & Recreation with a median total pay of $149,826, Information Technology with a median total pay of $149,602, Telecommunications with a median total pay of $149,079, Retail & Wholesale with a median total pay of $148,485, and Personal Consumer Services with a median total pay of $148,094.
7% Higher than other industries
Top paying companies in Arts, Entertainment & Recreation for Data Scientist are FanDuel, NBA, and High 5 Games.
What is the pay outlook for Research & Science?
Research and science jobs offer pay well above the national average. Increased demand for STEM workers is increasing salaries in research and science. Jobs in these fields, however, often require higher education at the graduate level and/or specialized training. While domain-specific expertise gives workers in these fields access to very specialized jobs, there are also many employers who hire STEM workers for their general data and technology skills.
For data scientist
Job Title
Location
Total Pay
Base Pay | Additional Pay
Total Years of Experience
Years at Recent Employer
Submitted
Date or Time
United States of America
| 4-6 years
/yr
Submitted Yesterday
United States of America
| 1-3 years
/yr
Submitted Yesterday
United States of America
| 1-3 years
/yr
Submitted Yesterday
United States of America
| 4-6 years
/yr
Submitted Yesterday
United States of America
| 1-3 years
/yr
Submitted Yesterday
United States of America
| 4-6 years
/yr
$160K | $16K
Submitted Yesterday
United States of America
| <1 year
/yr
$125K | $8K
Submitted Yesterday
United States of America
| 1-3 years
/yr
Submitted Yesterday
The average salary for a Data Scientist is $156,266 per year in United States. Salaries estimates are based on 44943 salaries submitted anonymously to Glassdoor by a Data Scientist employees in United States.
The highest salary for a Data Scientist in United States is $189,756 per year.
The lowest salary for a Data Scientist in United States is $130,227 per year.
If you are thinking of becoming a Data Scientist or planning the next step in your career, find details about the role, the career path and salary trajectory of a Data Scientist.
Data scientists are paid well above average, reflecting their relatively unique skill set and the huge (and growing) demand for their work. As demand for their services has grown over the past decade, data scientist salaries have increased rapidly and are likely to continue growing as the digitalization of the economy continues. Data scientists with master’s or PhDs or who specialize in fields with a higher barrier to entry (like biostatistics or machine learning) often receive higher salaries.
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Anonymous ratings shared on Glassdoor show that about 76% of data scientists are satisfied with their salary. Building up seven years of experience and receiving a master's or PhD in statistics, mathematics, computer science, or other related fields can help lead to a better salary.
Data scientists' total pay can range anywhere between $110,718.28 and $225,202.86. For all employees following the average data scientist's career path, the estimated total pay is approximately $156,255.29, which could include benefits in addition to salary, including bonuses or stock options. Once you've progressed to that point, it's common to move on to higher-level roles, such as lead data scientist or principal data scientist.
If you want to make more money as a data scientist, it's important to stay fluent in the latest systems and technologies. Make sure you're confident and experienced using statistical computer languages such as R, Python, and SQL. You can also seek additional education beyond a bachelor's degree if you want to stand out from other data scientist job candidates. Some people in the field pursue master's or doctoral degrees in related subjects such as computer science, information technology, math, or statistics. The more education and practical experience you have, the more you're likely to earn throughout your career.
If you're looking to increase your salary in your current role, be ready to concretely explain how your performance has been beneficial to the company and how your roles and responsibilities have expanded. Outline the ways your value to the company has increased over time, being as specific as possible. If you've been offered a data scientist job, highlight how your competencies, education, and experience in the field would make you an asset to the team. In both cases, it's helpful to look into data scientist salaries in your area, so you can get a sound idea of where to start.