A person working as a Data Scientist in United States typically earns around 155,000 USD per year. Salaries range from 82,300 USD (lowest) to 236,000 USD (highest).
This is the average yearly salary including housing, transport, and other benefits. Data Scientist salaries vary drastically based on experience, skills, gender, or location. Below you will find a detailed breakdown based on many different criteria.
Data Scientist salaries in United States range from 82,300 USD per year (minimum salary) to 236,000 USD per year (maximum salary).
The median salary is 146,000 USD per year, which means that half (50%) of people working as Data Scientist(s) are earning less than 146,000 USD while the other half are earning more than 146,000 USD. The median represents the middle salary value. Generally speaking, you would want to be on the right side of the graph with the group earning more than the median salary.
Closely related to the median are two values: the 25th and the 75th percentiles. Reading from the salary distribution diagram, 25% of Data Scientist(s) are earning less than 103,000 USD while 75% of them are earning more than 103,000 USD. Also from the diagram, 75% of Data Scientist(s) are earning less than 180,000 USD while 25% are earning more than 180,000 USD.
Both are indicators. If your salary is higher than both of the average and the median then you are doing very well. If your salary is lower than both, then many people are earning more than you and there is plenty of room for improvement. If your wage is between the average and the median, then things can be a bit complicated. We wrote a guide to explain all about the different scenarios. How to compare your salary
The experience level is the most important factor in determining the salary. Naturally the more years of experience the higher your wage. We broke down Data Scientist salaries by experience level and this is what we found.
A Data Scientist with less than two years of experience makes approximately 94,600 USD per year.
While someone with an experience level between two and five years is expected to earn 116,000 USD per year, 23% more than someone with less than two year's experience.
Moving forward, an experience level between five and ten years lands a salary of 165,000 USD per year, 42% more than someone with two to five years of experience.
Additionally, Data Scientist(s) whose expertise span anywhere between ten and fifteen years get a salary equivalent to 192,000 USD per year, 17% more than someone with five to ten years of experience.
If the experience level is between fifteen and twenty years, then the expected wage is 211,000 USD per year, 10% more than someone with ten to fifteen years of experience.
Lastly, employees with more than twenty years of professional experience get a salary of 224,000 USD per year, 6% more than people with fifteen to twenty years of experience.
|0 - 2 Years|
|2 - 5 Years||+23%|
|5 - 10 Years||+42%|
|10 - 15 Years||+17%|
|15 - 20 Years||+10%|
We all know that higher education equals a bigger salary, but how much more money can a degree add to your income? We broke down Data Scientist salaries by education level in order to make a comparison.
When the education level is Bachelor's Degree, the average salary of a Data Scientist is 104,000 USD per year.
While someone with a Master's Degree gets a salary of 165,000 USD per year, 59% more than someone having a Bachelor's Degree degree.
A PhD gets its holder an average salary of 215,000 USD per year, 30% more than someone with a Master's Degree.
A Master's degree program or any post-graduate program in United States costs anywhere from 39,500 US Dollar(s) to 118,000 US Dollar(s) and lasts approximately two years. That is quite an investment.
You can't really expect any salary increases during the study period, assuming you already have a job. In most cases, a salary review is conducted once education is completed and the degree has been attained.
Many people pursue higher education as a tactic to switch into a higher paying job. The numbers seem to support the thoery. The average increase in compensation while changing jobs is approximately 10% more than the customary salary increment.
If you can afford the costs of higher education, the return on investment is definitely worth it. You should be able to recover the costs in roughly a year or so.
Though gender should not have an effect on pay, in reality, it does. So who gets paid more: men or women? Male Data Scientist employees in United States earn 6% more than their female counterparts on average.
Data Scientist(s) in United States are likely to observe a salary increase of approximately 12% every 17 months. The national average annual increment for all professions combined is 8% granted to employees every 16 months.
The term 'Annual Salary Increase' usually refers to the increase in 12 calendar month period, but because it is rarely that people get their salaries reviewed exactly on the one year mark, it is more meaningful to know the frequency and the rate at the time of the increase.
The annual salary Increase in a calendar year (12 months) can be easily calculated as follows: Annual Salary Increase = Increase Rate x 12 ÷ Increase Frequency
Listed above are the average annual increase rates for each industry in United States for the year 2021. Companies within thriving industries tend to provide higher and more frequent raises. Exceptions do exist, but generally speaking, the situation of any company is closely related to the economic situation in the country or region. These figures tend to change frequently.
A Data Scientist is considered to be a moderate bonus-based job due to the generally limited involvement in direct revenue generation, with exceptions of course. The people who get the highest bonuses are usually somehow involved in the revenue generation cycle.
45% of surveyed staff reported that they haven't received any bonuses or incentives in the previous year while 55% said that they received at least one form of monetary bonus.
Those who got bonuses reported rates ranging from 3% to 5% of their annual salary.
The most standard form of bonus where the employee is awarded based on their exceptional performance.Company Performance Bonuses
Occasionally, some companies like to celebrate excess earnings and profits with their staff collectively in the form of bonuses that are granted to everyone. The amount of the bonus will probably be different from person to person depending on their role within the organization.Goal-Based Bonuses
Granted upon achieving an important goal or milestone.Holiday / End of Year Bonuses
These types of bonuses are given without a reason and usually resemble an appreciation token.
People tend to confuse bonuses with commissions. A commission is a prefixed rate at which someone gets paid for items sold or deals completed while a bonus is in most cases arbitrary and unplanned.
The main two types of jobs
|Revenue Generators||Supporting Cast|
Employees that are directly involved in generating revenue or profit for the organization. Their field of expertise usually matches the type of business.
Employees that support and facilitate the work of revenue generators. Their expertise is usually different from that of the core business operations.
Revenue generators usually get more and higher bonuses, higher salaries, and more frequent salary increments. The reason is quite simple: it is easier to quantify your value to the company in monetary terms when you participate in revenue generation.
Top management personnel and senior employees naturally exhibit higher bonus rates and frequencies than juniors. This is very predictable due to the inherent responsibilities of being higher in the hierarchy. People in top positions can easily get double or triple bonus rates than employees down the pyramid.
The hourly wage is the salary paid in one worked hour. Usually jobs are classified into two categories: salaried jobs and hourly jobs. Salaried jobs pay a fix amount regardless of the hours worked. Hourly jobs pay per worked hour. To convert salary into hourly wage the above formula is used (assuming 5 working days in a week and 8 working hours per day which is the standard for most jobs). The hourly wage calculation may differ slightly depending on the worked hours per week and the annual vacation allowance. The figures mentioned above are good approximations and are considered to be the standard. One major difference between salaried employees and hourly paid employees is overtime eligibility. Salaried employees are usually exempt from overtime as opposed to hourly paid staff.
The average salary for Data Scientist is 22% more than that of Science and Technical Services. Also, Science and Technical Services salaries are 34% more than those of All Jobs.
|Job Title||Average Salary|
|3D Lab Technologist||91,300 USD||-41%|
|Algorithm Developer||124,000 USD||-20%|
|Analytical Chemist||173,000 USD||+11%|
|Assistant Breeder||60,300 USD||-61%|
|Atmospheric and Space Scientist||173,000 USD||+11%|
|Behavior Analyst||119,000 USD||-23%|
|Behavior Intervention Specialist||135,000 USD||-13%|
|Biofuels Processing Technician||77,500 USD||-50%|
|Biofuels Production Manager||141,000 USD||-9%|
|Biomedical Scientist||205,000 USD||+32%|
|Chemical Engineer||98,700 USD||-36%|
|Chemical Technologist||85,900 USD||-45%|
|Chief Technologist||165,000 USD||+6%|
|Climate Change Analyst||132,000 USD||-15%|
|Clinical Laboratory Scientist||214,000 USD||+38%|
|Computer Scientist||157,000 USD||+1%|
|Conservation Scientist||170,000 USD||+9%|
|Data Scientist||155,000 USD||-0%|
|DNA Analyst||209,000 USD||+35%|
|Economic Development Specialist||156,000 USD||+0%|
|Food Scientist||131,000 USD||-16%|
|Forensic Scientist||156,000 USD||+0%|
|Formulation Technologist||78,500 USD||-49%|
|Fraud Investigator||91,300 USD||-41%|
|Genomics Scientist||201,000 USD||+29%|
|Geographic Information Systems Technician||66,100 USD||-57%|
|Geological Data Technician||69,400 USD||-55%|
|Geological Technician||86,300 USD||-44%|
|Geomatics Scientist||167,000 USD||+8%|
|Geophysical Data Technician||63,100 USD||-59%|
|Geospatial Information Scientist and Technologist||155,000 USD||-0%|
|Industrial Ecologist||144,000 USD||-7%|
|Intelligence Analyst||114,000 USD||-27%|
|Knowledge Management Specialist||101,000 USD||-35%|
|Laboratory Manager||138,000 USD||-11%|
|Laboratory Researcher||90,800 USD||-42%|
|Laboratory Technician||57,700 USD||-63%|
|Life Sciences Analyst||134,000 USD||-14%|
|Life Scientist||157,000 USD||+1%|
|Marine Architect||127,000 USD||-18%|
|Marine Biologist||149,000 USD||-4%|
|Marine Superintendent||81,000 USD||-48%|
|Materials Analyst||83,700 USD||-46%|
|Materials Scientist||154,000 USD||-1%|
|Medical Scientist||207,000 USD||+33%|
|Natural Language Processing Researcher||133,000 USD||-14%|
|Natural Resource Specialist||113,000 USD||-27%|
|Natural Sciences Manager||200,000 USD||+29%|
|Nuclear Engineer||216,000 USD||+39%|
|Physical Scientist||161,000 USD||+4%|
|Political Scientist||152,000 USD||-2%|
|Polygraph Examiner||55,000 USD||-65%|
|Polysomnographic Technologist||96,800 USD||-38%|
|Product Development Scientist||158,000 USD||+2%|
|Quantitative Research Analyst||135,000 USD||-13%|
|Quantitative Researcher||139,000 USD||-11%|
|Radiation Protection Specialist||105,000 USD||-32%|
|Refrigeration Technician||45,700 USD||-71%|
|Research Scientist||151,000 USD||-3%|
|Risk Safety Engineer||92,300 USD||-41%|
|Scientific Photographer||85,300 USD||-45%|
|Scientific Programmer||125,000 USD||-20%|
|Service Engineer||88,700 USD||-43%|
|Service Technician||59,800 USD||-61%|
|Social Science Research Assistant||81,200 USD||-48%|
|Social Scientist||155,000 USD||-0%|
|Soil Scientist||120,000 USD||-23%|
|Statistical Analyst||87,600 USD||-44%|
|Statistical Assistant||65,800 USD||-58%|
|Survey Analyst||85,400 USD||-45%|
|Survey Researcher||81,800 USD||-47%|
|Surveying and Mapping Technician||57,300 USD||-63%|
|Team Leader||125,000 USD||-20%|
|Technical Manager||135,000 USD||-13%|
|Technical Officer||61,900 USD||-60%|
|Technical Service Director||177,000 USD||+14%|
|Technical Services Regulatory Affairs Specialist||91,300 USD||-41%|
|Technical Services Research and Development Manager||207,000 USD||+33%|
|Technical Services Research Coordinator||102,000 USD||-34%|
|Water Ecologist||167,000 USD||+8%|
|Wildlife Biologist||140,000 USD||-10%|
|Iowa City||129,000 USD|
|Kansas City||154,000 USD|
|Las Vegas||147,000 USD|
|Long Beach||138,000 USD|
|Los Angeles||191,000 USD|
|New Orleans||135,000 USD|
|New York||192,000 USD|
|Oklahoma City||156,000 USD|
|San Antonio||181,000 USD|
|San Diego||182,000 USD|
|San Francisco||174,000 USD|
|San Jose||179,000 USD|
|Washington D.C.||162,000 USD|
|District of Columbia||139,000 USD|
|New Hampshire||149,000 USD|
|New Jersey||174,000 USD|
|New Mexico||155,000 USD|
|New York||181,000 USD|
|North Carolina||160,000 USD|
|North Dakota||131,000 USD|
|Rhode Island||135,000 USD|
|South Carolina||152,000 USD|
|South Dakota||135,000 USD|
|West Virginia||143,000 USD|
Where can you get paid more, working for a private company or for the government? Public sector employees in United States earn 5% more than their private sector counterparts on average across all sectors.