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 $146,026. This figure reflects the high demand for skilled professionals in this field.
The salary range for data scientists can vary widely. The lowest 10% earn around $72,500 per year. The top 10% earn over $249,000 annually. This range shows the potential for growth and advancement in the career. Factors such as experience, education, and industry can also impact earnings. Companies in tech and finance often offer higher salaries to attract top talent. As data continues to grow in importance, so does the value of data scientists.
What are the highest paying cities for a Data Scientist?

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San Francisco, CA
Average Salary: $191,178
In San Francisco, tech giants thrive, offering many opportunities for data experts. Companies like Google and Salesforce seek skilled professionals to analyze data and drive innovation.
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Seattle, WA
Average Salary: $170,263
Seattle is home to tech leaders like Amazon and Microsoft. These companies value data analysis to improve their services and products. It's a great place for those who love tech and data.
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San Jose, CA
Average Salary: $165,526
San Jose, the heart of Silicon Valley, offers many jobs for data scientists. Companies like Apple and Intel need experts to turn data into insights, making it a dynamic place to work.
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San Antonio, TX
Average Salary: $153,115
San Antonio is growing fast, with many opportunities for data professionals. Companies like AT&T and Rackspace need data experts to help them grow and innovate.
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Los Angeles, CA
Average Salary: $150,349
Los Angeles offers a mix of tech and entertainment, creating unique opportunities for data experts. Companies like Disney and Warner Bros. seek data professionals to enhance their offerings.
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Grand Rapids, MI
Average Salary: $148,011
Grand Rapids is a smaller city with a growing tech scene. Companies like Amway and Adaflex need data experts to help them succeed. It's a great place for those who want a mix of work and community.
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Sacramento, CA
Average Salary: $145,301
Sacramento offers a mix of government and tech jobs for data professionals. Companies and government agencies need data experts to make informed decisions and improve services.
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San Diego, CA
Average Salary: $144,753
San Diego is a vibrant city with a strong tech presence. Companies like Qualcomm and Illumina need data experts to drive innovation and growth. It's a great place for those who love the beach and tech.
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Austin, TX
Average Salary: $144,547
Austin is known for its tech boom and live music scene. Companies like Dell and IBM need data professionals to help them grow. It's a fun place to work and live.
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Albany, NY
Average Salary: $141,344
Albany offers a mix of tech and government jobs for data experts. Companies and government agencies need data professionals to make informed decisions and improve services. It's a great place for those who love history and tech.
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What are the best companies a Data Scientist can work for?

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Netflix
Average Salary: $452,976
Netflix offers exciting opportunities for Data Scientists. They work on projects that improve user experience and content recommendations. The company operates globally, with major offices in Los Gatos, California, and international offices in countries like the UK and Canada.
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OpenAI
Average Salary: $330,806
OpenAI provides a dynamic environment for Data Scientists. They focus on advancing AI research and development. The company is based in San Francisco, California, and has a growing presence in other tech hubs.
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Intuit
Average Salary: $242,738
Intuit offers a variety of roles for Data Scientists. They work on projects that enhance financial software. The company is headquartered in Mountain View, California, and has offices worldwide.
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USAA
Average Salary: $231,397
USAA provides opportunities for Data Scientists to work on financial services. They focus on improving customer experience and security. The company is based in San Antonio, Texas, and has a strong presence in the financial sector.
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DCI Solutions
Average Salary: $213,077
DCI Solutions offers roles for Data Scientists in various industries. They work on projects that involve data analysis and insights. The company operates in multiple locations, including Washington, D.C., and other major cities.
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Genentech
Average Salary: $209,868
Genentech provides opportunities for Data Scientists in the biotech field. They focus on research and development. The company is based in South San Francisco, California, and has a global impact in healthcare.
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goPuff
Average Salary: $208,333
goPuff offers roles for Data Scientists in the e-commerce sector. They work on projects that improve delivery and customer satisfaction. The company is based in Philadelphia, Pennsylvania, and has a growing presence in major cities.
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Apple
Average Salary: $208,277
Apple provides opportunities for Data Scientists in technology. They work on projects that enhance user experience and product development. The company is headquartered in Cupertino, California, and has a global presence.
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Salesforce
Average Salary: $207,713
Salesforce offers roles for Data Scientists in the CRM sector. They focus on improving customer relationship management. The company is headquartered in San Francisco, California, and has offices worldwide.
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Atlassian
Average Salary: $200,600
Atlassian provides opportunities for Data Scientists in software development. They work on projects that enhance productivity tools. The company is based in Sydney, Australia, and has offices in major tech hubs.
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 earnings. Companies often pay more to data scientists with a proven track record. Working on different projects can help you build skills and knowledge. This makes you more valuable to potential employers. Second, earning advanced degrees or certifications can boost your salary. A master's degree or specialized certifications can show your expertise. This can make you stand out in a competitive job market.
Third, learning new tools and technologies can help you earn more. Data science is a fast-changing field. Staying updated with the latest tools can make you more efficient. This can lead to higher pay. Fourth, networking with other professionals can open up higher-paying opportunities. Attending industry events and joining professional groups can help you meet key people. This can lead to job offers that pay better. Finally, consider moving to a city with a higher cost of living. Data scientists in these areas often earn more. This can lead to a higher salary and better benefits.
Focusing on these factors can help you earn more as a data scientist. With dedication and the right steps, you can achieve your career goals.
- Gain more experience with different projects.
- Earn advanced degrees or certifications.
- Learn new tools and technologies.
- Network with other professionals.
- Consider moving to a higher-paying area.



