Average Data Scientist with Natural Language Processing (NLP) Skills Salary

$102,601
Avg. SalaryShow Hourly Rate
$9,729
Bonus
$9,634
Profit Sharing
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The average salary for a Data Scientist with Natural Language Processing (NLP) skills is $102,601.
10%
$76k
MEDIAN
$103k
90%
$137k
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United States (change)
Salary
$76k - $137k
Bonus
$2k - $20k
Profit Sharing
$2k - $28k
Total Pay
$78k - $148k

Your Market Worth Over Time

How has your pay changed over time for your market? Find out by taking our salary quiz.

Popular Employer Salaries for Data Scientist

The top respondents for the job title Data Scientist are from the companies Booz, Allen, and Hamilton, Microsoft Corp and Square, Inc.. Reported salaries are highest at Microsoft Corp where the average pay is $125,968. Booz, Allen, and Hamilton pays the lowest at around $83,953.

Data Scientist Job Listings

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Popular Skills for Data Scientist

Skills that pay less than market rate include Statistical Analysis, R, Data Analysis, Python and Machine Learning.

Pay by Experience Level for Data Scientist

An entry-level Data Scientist with less than 1 year experience can expect to earn an average total compensation (includes tips, bonus, and overtime pay) of $96,510 based on 60 salaries. An early career Data Scientist with 1-4 years of experience earns an average total compensation of $101,176 based on 275 salaries. A mid-career Data Scientist with 5-9 years of experience earns an average total compensation of $109,759 based on 73 salaries. An experienced Data Scientist with 10-19 years of experience earns an average total compensation of $126,929 based on 17 salaries. In their late career (20 years and higher), employees earn an average total compensation of $152,000.
Employees with Data Scientist in their job title in San Francisco, California earn an average of 15.6% more than the national average. These job titles also find higher than average salaries in Chicago, Illinois (6.2% more) and Seattle, Washington (2.2% more). The lowest salaries can be found in Austin, Texas (10.8% less), Washington, District of Columbia (9.0% less) and Boston, Massachusetts (3.1% less).

Years of Experience

This data is based on 430 survey responses.
Entry Level
14.0%
Early Career
64.0%
Mid Career
17.0%
Experienced
4.0%
Late Career
1.2%