- Data Science
5 min read
- Data Scientist Salaries Overview
- Data Scientist Salaries by Experience
- Data Scientist Salaries by Region
- Data Scientist Salaries by State
- Data Scientist Salaries at Top Companies
- Data Scientist Salaries by Education
- How to Boost Your Salary in Data Science
Data Scientist Salaries — High Pay in an Exciting, In-Demand Field
In addition to driving innovation across nearly all industries, data science is a field that pays high salaries to the skilled professionals who understand how to discover valuable insights hidden amid vast amounts of raw information.
Despite recent disruptions in all employment sectors caused by the COVID-19 crisis, a leading-edge study of the data science employment landscape reports, “We are still seeing fierce competition for top tier talent, with many in-demand candidates receiving multiple offers quickly.”
The following information on data science salaries comes from a survey of more than 500 data science professionals conducted by executive recruiting and staffing firm Burtch Works, the U.S. Bureau of Labor Statistics, plus additional sources. Read on for a deep dive into data science salaries, salary growth, data science salaries by region and by industry, data science salaries with a master’s or Ph.D., and more.
Data Scientist Salaries Overview
Simply stated, data scientists earn high salaries. The U.S. Bureau of Labor Statistics reportsmedian salaries of $122,840, with the top 10% earning more than $189,780.
The 2020 Burtch Works salary survey reports base median salaries from $92,000 to $250,000 depending on years of experience and, for data science managers, level of responsibility. It is important to note that salary figures here represent gross annual wages and do not reflect additional compensation and financial incentives such as relocation assistance, sign-on bonuses, annual bonuses, stock options, or other long-term incentive plan compensation.
Data Scientist Salaries by Experience
As in many professions, salaries get higher depending on your level of experience. The Burtch Works study breaks down the following six different categories of data scientists and data science managers based on years of experience and level of managerial responsibility, respectively:
Data Scientist | Level 1 (0-3 years of experience)
Data Scientist | Level 2 (4-8 years of experience)
Data Scientist | Level 3 (9+ years of experience)
Data Science Manager | Level 1 (supervises 1-3 people)
Data Science Manager | Level 2 (supervises 4-9 people)
Data Science Manager | Level 3 (supervises 10+ people)
Respondents to the survey from the above categories reported the following median base salary ranges:
Data Scientist | Level 1 ($85,000–$110,000)
Data Scientist | Level 2 ($120,000–$140,000)
Data Scientist | Level 3 ($148,000–$185,000)
Data Science Manager | Level 1 ($132,000–$164,000)
Data Science Manager | Level 2 ($180,000–$210,000)
Data Science Manager | Level 3 ($210,000–$275,000)
According to the study, “Data science continues to be a young discipline with median years of experience (equaling) 6 years.”
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Data Scientist Salaries by Industry
Because data science’s capacity to discover valuable insights and help solve business challenges touches nearly every sector, there is a strong demand for qualified data scientists across a broad spectrum of industries. Key sectors with an ongoing need for data scientists include:
Technology | Financial Services | Health Care | Cybersecurity | Government/Military | Academia | Media | Retail | Manufacturing | Energy
The many additional areas now impacted by data science include: marketing, aerospace, travel, transportation, energy, food, sales and service, business intelligence, agriculture, automotive, mining, field service, utilities, telecom, construction, and more.
Here is a closer look at the Burtch Works survey’s breakdown of the percentage of data scientists working in various industries:
Technology (plus Telecom/Gaming) — 26%
Corporate (plus Energy/Manufacturing) — 21%
Financial Services — 13%
Consulting — 13%
Retail & CPG — 7%
Health Care/Pharma — 11%
Advertising/Marketing — 6%
Academic/Government — 3%
|Data Science Salaries by Industry||Technology||All Others|
|Data Scientist | Level 1||$80,000–$107,000||$80,000–$110,000|
|Data Scientist | Level 2||$120,000–$140,000||$110,000–$145,000|
|Data Scientist | Level 3||$155,000–$185,000||$149,500–$200,000|
|Data Science Manager | Level 1||$133,500–$168,750||$130,000–$150,000|
|Data Science Manager | Level 2||$176,000–$212,500||$162,500–$200,000|
|Data Science Manager | Level 3||$240,000–$280,500||$236,500–$250,000|
Source: Burtch Works Study (2018)
Data Scientist Salaries by Region
Data scientists working on the West Coast reported the highest median base salaries in the Burtch Works survey, with those in the Northeast earning more than their high-tech counterparts in the nation’s midsection.
|Data Science Salaries by Region||West Coast||Middle U.S.||Northeast|
|Data Scientist | Level 1||$83,750–$111,250||$85,000–$105,000||$90,000–$115,000|
|Data Scientist | Level 2||$120,000–$150,000||$115,250–$139,000||$120,000–$140,000|
|Data Scientist | Level 3||$155,000–$200,000||$145,000–$182,500||$145,000–$180,000|
|Data Science Manager | Level 1||(sample size too small)||$130,000–$154,313||$140,000–$171,500|
|Data Science Manager | Level 2||$192,750–$221,250||$175,000–$210,000||$175,000–$200,000|
|Data Science Manager | Level 3||$215,500–$292,500||$210,000–$275,000||$238,750–$271,250|
Data Scientist Salaries by State
You can also find interesting data about the data science employment landscape at employment sites such as ZipRecruiter, Glassdoor, Indeed, and others. (Note: Salary-by-state data typically does not account for years of experience.)
Springboard.com lists California as having the highest average salary for data scientists at $142,338. ZipRecruiter’s review of data scientist salaries by state places New York ($130,980) and Massachusetts ($129,742) in the top spots.
Data Scientist Salaries at Top Companies
This category is a bit of a moving target, but tech training company Galvanize offers the following list of “10 top-paying companies for data scientists in 2020.”
- Snap, Inc. — $238,000
- Airbnb — $223,000
- Netflix — $222,000
- Pinterest — $212,000
- Lyft — $209,000
- Etsy — $207,000
- Uber — $206,000
- Facebook — $198,000
- Twitter — $198,000
- Dropbox — $183,000
Data Scientist Salaries by Education
Level of education is another critical factor when it comes to salaries in data science, a field where the vast majority of practitioners hold advanced degrees. The Burtch Works survey puts this figure at 94% — with 50% having earned at least a master’s degree and 44% holding a Ph.D.
(Additionally, the report notes that 25% of data scientists hold a degree in statistics or mathematics, 22% have a computer science degree, 16% hold a degree in the natural sciences, and 24% hold an engineering degree.)
Here is a look at survey results with the level of education factored in:
|Data Science Salaries | Education||Salary Range with Master’s||Salary Range with Ph.D.|
|Data Scientist | Level 1||$85,000–$105,000||$90,000–$115,000|
|Data Scientist | Level 2||$115,000–$140,000||$125,000–$145,000|
|Data Scientist | Level 3||$144,250–$180,000||$160,000–$198,750|
|Data Science Manager | Level 1||$133,000–$169,500||$132,500–$160,000|
|Data Science Manager | Level 2||$169,500–$200,250||$184,000–$216,500|
|Data Science Manager | Level 3||$200,000–$265,000||$231,250–$296,250|
Source: Burtch Works Study (2020)
How to Boost Your Salary in Data Science
Data scientists are in demand, but competition is strong for the best, highest-paying jobs. Therefore, one of the first steps when exploring the data science job market is to do some in-depth salary research on websites such as Glassdoor, LinkedIn, and others to help get a clear idea of your market value.
Statistics about data science salaries by region, by industry, and education level all offer insight into possibilities for earning higher pay. But it is also helpful to keep in mind that part of the role for many data scientists is that of the storyteller — presenting data-driven insights that help solve business challenges in a way that is understandable to decision-makers.
So look for ways to effectively tell your own story to prospective employers in the interview process. Rather than just listing off skills and experience, look for ways to talk about what inspires you about data science or share an anecdote about your journey as a data scientist.
As mentioned above, it’s no secret that the vast majority of data scientists hold an advanced degree. If you are considering earning your master’s degree to pursue or advance a career in data science, or if you are seeking a data science master’s program to complement an advanced degree in another discipline, you may want to take a close look at the innovative, online master’s degree program offered by the University of San Diego.
Providing optimal flexibility for busy working professionals, USD’s Master of Science in Applied Data Science is taught by experienced data science practitioners and tailored to the needs of industries and employers.
Students gain comprehensive technical knowledge and skills, while developing a deep understanding of how to apply both hard and soft skills in real-world applications in a top-quality degree program designed to position graduates for career success — and high salaries — in this vitally important and fast-growing field.
[RELATED] University of San Diego Launches Online Master’s Degree in Applied Data Science
|25th Percentile Top Data Scientist Salary||$239,003||US|
|50th Percentile Top Data Scientist Salary||$263,742||US|
|75th Percentile Top Data Scientist Salary||$298,462||US|
|90th Percentile Top Data Scientist Salary||$330,072||US|
A decade later, the job is more in demand than ever with employers and recruiters. AI is increasingly popular in business, and companies of all sizes and locations feel they need data scientists to develop AI models.What is the demand rate for data scientists? ›
Data science and analytics are expected to employ more than 11 million people by 2026. India is the second-largest source of data scientist jobs after the United States.Is data scientist one of the highest paying jobs? ›
- Business intelligence developer. ...
- Infrastructure engineer. ...
- Data scientist. ...
- Data modeler. ...
- Big data engineer. ...
- Data architect. ...
- Enterprise architect. ...
- Machine learning engineer. National average salary: $149,847 per year.
Data scientists are well paid, even compared with others in the tech community. Because the data science field is constantly growing and changing, data science is widely ranked as the skill most in-demand across the tech sector. Data science is a great industry to get into if you're looking to make a lot of money.Why data scientist are highly paid? ›
The reason behind data scientist highest salary in India is that they are also analytical experts who employ their skills in both social science and technical domains to determine trends and handle data.Why is data science so in demand? ›
Data scientists and analytics executives are so in demand because exploring data in meaningful ways is the key to unlocking and understanding the problems facing an organisation.Will data science be in demand in future? ›
Due to the increasing demand for data science professionals, the job opportunities in the field are abundant. Besides data scientists, here are data science job titles that will be trending in 2022: Data analyst. Data engineer.How long will data science be in demand? ›
Data science will be around for quite some time. Data has become an indispensable part of the 21st Century with our society witnessing rapid digitalization in the last couple of years. Most companies worked to solve very similar business problems with data science.Is data science an in demand field? ›
Employment of data scientists is projected to grow 36 percent from 2021 to 2031, much faster than the average for all occupations. About 13,500 openings for data scientists are projected each year, on average, over the decade.
Yes, data science is a very good career with tremendous opportunities for advancement in the future. Already, demand is high, salaries are competitive, and the perks are numerous – which is why Data Scientist has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor.Is data science a good job field to get into? ›
The data science field is flush with opportunities, with the demand consistently topping the supply. According to a report published by the US Bureau of Labor Statistics, the number of jobs in the data science field will grow by approximately 28% by 2026, translating into nearly 11.5 million new data science jobs.Are big data jobs in demand? ›
96% of companies are definitely planning or likely to plan to hire new staff with relevant skills to fill future big data analytics related roles in 2022. This is most likely going to be the most in-demand role in 2022, says the Monster Annual Trends report.Why do I love being a data scientist? ›
Data Scientist is a very complex and challenging job, but you can get one of the most important rewards from it, the sense of meaningful work. A job that allows you to grow and expand your capacities, something to be proud of, and no matter the difficulties, if you put the work, get a reward from it.Is data science still in demand 2022? ›
A report from McKinsey says that there will be a shortage of more than 150,000 people with the skills required to be a data scientist. The rise in the demand for data scientists has made their wages spike. Grab high-paying Data Scientist jobs with the help of these 10 Data Scientist Skills You Must Have in 2022.Will data science exist in 10 years? ›
In 10 years, data scientists will have entirely different sets of skills and tools, but their function will remain the same: to serve as confident and competent technology guides that can make sense of complex data to solve business problems.Why data science is important now? ›
Data Science enables companies to efficiently understand gigantic data from multiple sources and derive valuable insights to make smarter data-driven decisions. Data Science is widely used in various industry domains, including marketing, healthcare, finance, banking, policy work, and more.Will data science be in demand in next 5 years? ›
Studies estimate that the Data Science industry will grow by at least 2x over the next five years. The growth will further be accelerated by certain changes that will impact the career fundamentals for data scientists. The biggest change that will happen in the Data Science industry is the roles.Which degree is best for data scientist? ›
B.S. in Computer Science: This degree is a natural fit for a career in data science with its emphasis on programming languages. Earning this degree gives you a strong technical foundation and familiarity with today's industry-standard tools.How old are data scientists? ›
Interestingly enough, the average age of data scientists is 40+ years old, which represents 41% of the population.
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Data Scientist salary in India ranges between ₹ 4.5 Lakhs to ₹ 25.9 Lakhs with an average annual salary of ₹ 10.5 Lakhs. Salary estimates are based on 19.3k salaries received from Data Scientists.Should I study data science? ›
Demand: Data Scientists are in High Demand
coming in at No. 4 on the list is machine learning engineer, a mid- to senior-level data science job. With great earning potential, thousands of jobs available, and the utter importance of this career, data scientists are highly sought after, making for a great career choice.
Data scientists are typically responsible for data analytics to find new insights. They often work with advanced machine learning models to predict future customer or market behavior based on past trends. The ultimate goal of what businesses hope to get from data scientists isn't expected to change.What data skills are in demand? ›
- Programming languages. ...
- Machine learning, AI, and Natural Language Processing (NLP) ...
- Quantitative analysis. ...
- Data mining. ...
- Problem-solving. ...
- SQL and NoSQL databases. ...
- Data Structure and algorithms. ...
- Interpretation and data visualization.
However, compensation for those data scientists who develop the “holy grail” of technical skills, investment knowledge and the ability to communicate with stakeholders “has ballooned over $1 million” annually, Pook said.What is the highest level of data scientist? ›
- Graduate Data Scientist. This is an entry-level role usually held by a recent university graduate with less than two years of work experience and hired as part of the Graduate Program at the company. ...
- Data Scientist. ...
- Senior Data Scientist. ...
- Lead Data Scientist. ...
- Principal Data Scientist.
- Randy Lao.
- Alex Sandy Pentland.
- Kyle McKiou.
- Geoffrey Hinton.
- Kate Starchnyi.
- Jeff Hammerbacher.
- Dean Abbott.
- Andriy Burkov.
Due to the increasing demand for data science professionals, the job opportunities in the field are abundant. Besides data scientists, here are data science job titles that will be trending in 2022: Data analyst. Data engineer.Are data scientists smart? ›
Generally, Data Scientists and Machine learning practitioners are smart, meaning they have general technical intelligence that makes them formidable within their profession.
Yes, data science is a very good career with tremendous opportunities for advancement in the future. Already, demand is high, salaries are competitive, and the perks are numerous – which is why Data Scientist has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor.How long do data scientists work? ›
Full-Time Data Scientist
Full-time data scientists usually work the standard 40-hour Monday through Friday workweek. Most data scientists have "a good amount of autonomy" in their work, but too much independence may be detrimental to maintaining work/life balance for some employees.
The average Data Scientist is most likely skeptical, reserved, and analytical. They tend to be serious and exacting in their work, often seeking to establish procedures that can help others improve, as well. Don't be surprised if they communicate with excessive detail.