How much does a Data Scientist make?
Data scientists play a key role in today's data-driven world. They analyze and interpret complex data to help businesses make informed decisions. The average yearly salary for a data scientist is around $141,877. This salary can vary based on experience, location, and industry.
Here are some salary ranges for data scientists:
- The lowest 10% earn about $70,000 per year.
- The next 20% earn between $70,000 and $101,545 per year.
- The middle 20% earn between $101,545 and $133,091 per year.
- The next 20% earn between $133,091 and $164,636 per year.
- The top 10% earn more than $164,636 per year.
What are the highest paying cities for a Data Scientist?

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San Francisco, CA
Average Salary: $180,266
In San Francisco, tech giants like Google and Salesforce offer exciting opportunities. The city's vibrant tech scene provides a dynamic environment for growth and innovation.
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Seattle, WA
Average Salary: $170,550
Seattle is home to tech leaders like Amazon and Microsoft. Working here means being part of a thriving community that values data-driven insights.
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San Jose, CA
Average Salary: $164,703
San Jose, the heart of Silicon Valley, offers numerous opportunities with companies like Apple and Cisco. The city's tech-centric culture fosters a collaborative work environment.
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San Antonio, TX
Average Salary: $147,347
San Antonio is a growing tech hub with companies like Rackspace and AT&T. The city offers a blend of affordability and professional opportunities.
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Los Angeles, CA
Average Salary: $145,947
Los Angeles provides a diverse job market with companies like Amazon and Google. The city's entertainment industry offers unique data analysis challenges.
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Grand Rapids, MI
Average Salary: $141,168
Grand Rapids is a smaller city with a growing tech scene. Companies like Amway and Adasina offer opportunities in a supportive environment.
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Sacramento, CA
Average Salary: $140,946
Sacramento offers a mix of government and tech jobs. Working here means contributing to impactful projects with companies like IBM and Oracle.
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Austin, TX
Average Salary: $140,629
Austin is known for its vibrant tech scene and companies like Dell and IBM. The city offers a lively atmosphere with plenty of networking opportunities.
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San Diego, CA
Average Salary: $139,061
San Diego is a hub for tech innovation with companies like Qualcomm and Illumina. The city's beautiful climate adds to the quality of life.
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Boston, MA
Average Salary: $136,773
Boston offers a rich history and a thriving tech scene with companies like Fidelity and State Street. The city's academic environment provides unique research opportunities.
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What are the best companies a Data Scientist can work for?

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Netflix
Average Salary: $448,111
Netflix offers exciting Data Scientist roles. They work on big data projects to improve user experience. Netflix operates globally, with major offices in the US, Canada, and Europe.
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OpenAI
Average Salary: $316,167
OpenAI provides opportunities for Data Scientists to work on cutting-edge AI research. They focus on developing safe and beneficial AI. The company is based in San Francisco, California.
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USAA
Average Salary: $225,373
USAA offers rewarding Data Scientist jobs. They work on data analytics to improve financial services. USAA is a leading provider of financial services for military members and their families, with offices in the US.
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Intuit
Average Salary: $224,933
Intuit offers competitive Data Scientist roles. They focus on data analysis to enhance financial software products. Intuit is a global tax, accounting, and financial software company, with offices worldwide.
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Atlassian
Average Salary: $211,125
Atlassian provides opportunities for Data Scientists to work on data-driven product development. They focus on improving collaboration tools. Atlassian is a leading provider of software development tools, with offices in the US, Australia, and Europe.
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Apple
Average Salary: $207,229
Apple offers exciting Data Scientist roles. They work on data analytics to improve product features. Apple is a global technology company, with offices in the US, Europe, and Asia.
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Salesforce
Average Salary: $205,073
Salesforce provides rewarding Data Scientist jobs. They focus on data analysis to enhance customer relationship management. Salesforce is a leading cloud-based software company, with offices worldwide.
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goPuff
Average Salary: $198,295
goPuff offers competitive Data Scientist roles. They work on data analytics to improve delivery services. goPuff is a leading on-demand delivery service, with operations in the US.
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Flex Employee Services
Average Salary: $195,000
Flex Employee Services provides opportunities for Data Scientists to work on data analytics for workforce management. They focus on improving employee services. Flex operates globally, with offices in the US, Europe, and Asia.
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Ericsson-Worldwide
Average Salary: $191,471
Ericsson offers rewarding Data Scientist roles. They work on data analytics to enhance telecommunications services. Ericsson is a global leader in telecommunications, with offices worldwide.
How to earn more as a Data Scientist?
Data scientists have a growing demand in many industries. They use data to help companies make smart decisions. If you want to earn more as a data scientist, consider these key factors. They can help you advance your career and increase your salary.
First, gaining more experience can lead to higher pay. Companies value data scientists who have worked on many projects. They look for those who can handle different types of data and tools. Second, earning advanced degrees or certifications can boost your salary. A master's degree or specialized certifications in data science can make you more attractive to employers. Third, learning new skills can open up higher-paying opportunities. Skills like machine learning, big data, and cloud computing are in demand. Fourth, networking with other professionals can lead to better job offers. Attend conferences, join online forums, and connect with peers on LinkedIn. Finally, moving to a higher-paying location can increase your earnings. Some cities offer higher salaries for data scientists due to the cost of living and demand for tech talent.
By focusing on these factors, data scientists can improve their chances of earning more. They can make themselves more valuable to employers and open up new career opportunities.
- Gain more experience
- Earn advanced degrees or certifications
- Learn new skills
- Network with other professionals
- Move to a higher-paying location