Solutions Review explores the state of data scientist salary in the United States, along with a link to the most popular e-learning training.
Data science has become a crucial element in decision-making for organizations. This importance has led to a surge in demand for skilled professionals in data science, and data scientist salaries in the United States have continued to rise. According to a report by PayScale, the national average salary for a data scientist in the United States is $98,013 per year. However, salaries can vary significantly based on factors such as location, industry, experience level, and education.
In major cities like San Francisco and New York City, data scientists can expect higher salaries, with the average salary in San Francisco being $120,943 and in New York City being $112,161. Data scientists in the technology industry, which is currently the industry with the highest demand for data science, can expect to earn an average salary of $103,924. Other industries with high-paying data science roles include finance, healthcare, and e-commerce.
Data Scientist Salary Expectations
The industry in which a data scientist works can also have a significant impact on their salary. According to the same Glassdoor report, data scientists in the technology industry can expect to earn an average salary of $120,965 per year, while those in the finance industry can expect to earn an average salary of $103,887 per year. Other industries with high-paying data science roles include healthcare, government, and e-commerce.
Experience level is another key factor that influences data science salaries in the United States. Entry-level data scientists with less than one year of experience can expect to earn an average salary of $82,000 per year, while those with 1-3 years of experience can expect to earn an average salary of $100,000 per year. Mid-level data scientists with 4-6 years of experience can expect to earn an average salary of $125,000 per year, while senior data scientists with 7+ years of experience can expect to earn an average salary of $150,000 per year.
Education is also an important consideration when it comes to data science salaries in the United States. While a bachelor’s degree in a related field such as computer science, statistics, or mathematics may be sufficient for entry-level roles, a master’s degree or PhD can significantly increase earning potential. Data scientists with a master’s degree can expect to earn an average salary of $117,000 per year, while those with a PhD can expect to earn an average salary of $142,000 per year.
In addition to base salaries, many data science roles also offer additional perks and benefits. These may include bonuses, stock options, and flexible work arrangements. Companies may also offer other perks such as health insurance, retirement plans, and paid time off.
Data science continues to be a high-paying and in-demand career path in the United States. Salaries for data scientists are expected to continue to rise in 2023, and can vary widely depending on factors such as location, industry, experience level, and education. With the right combination of skills and experience, data scientists can expect to earn a comfortable salary and enjoy a rewarding career in a growing industry.
Recommended Data Science Training
OUR TAKE: This Nanodegree program will provide you with real-world data science projects designed by industry experts. It takes an estimated 4 months to complete and starts with solving basic data science problems.
Description: You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. It is recommended that students be familiar with machine learning concepts and Python programming, probability, and statistics.
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