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 $143,532. This salary can vary based on experience, location, and industry.
The salary range for data scientists can be quite broad. At the lower end, some data scientists earn around $70,000 per year. As experience grows, salaries can increase. The top earners in this field can make over $244,000 annually. This wide range shows the potential for growth in this career. Companies value the insights data scientists provide, which often leads to competitive salaries and benefits.
What are the highest paying cities for a Data Scientist?

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San Francisco, CA
Average Salary: $182,758
In San Francisco, tech giants like Google and Salesforce offer exciting opportunities for those who analyze data. The city's vibrant tech scene provides a dynamic environment for growth and innovation.
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Seattle, WA
Average Salary: $170,457
Seattle is home to tech leaders like Amazon and Microsoft. Working here means being part of a community that values data-driven insights. The city offers a mix of challenges and rewards for data professionals.
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San Jose, CA
Average Salary: $164,289
San Jose, the heart of Silicon Valley, is a hub for tech companies. Data experts here work on cutting-edge projects with companies like Intel and eBay. The city offers a fast-paced and rewarding career path.
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San Antonio, TX
Average Salary: $151,128
San Antonio is growing as a tech center, with companies like Rackspace and AT&T. Working here means being part of a community that values data analytics. The city offers a mix of opportunities and a lower cost of living.
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Los Angeles, CA
Average Salary: $148,651
Los Angeles offers a mix of entertainment and tech opportunities. Companies like Warner Bros. and Hulu rely on data experts. Working here means being part of a diverse and dynamic industry.
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Grand Rapids, MI
Average Salary: $144,783
Grand Rapids is emerging as a tech hub, with companies like Amway and Adasina Social Capital. Working here means being part of a growing community that values data insights. The city offers a lower cost of living and a friendly environment.
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Sacramento, CA
Average Salary: $143,077
Sacramento offers a mix of government and tech opportunities. Companies like Blue Shield of California and Fetchr rely on data experts. Working here means being part of a community that values public service and innovation.
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Austin, TX
Average Salary: $142,220
Austin is known for its vibrant tech scene, with companies like Dell and Apple. Working here means being part of a community that values creativity and data-driven insights. The city offers a mix of opportunities and a lively atmosphere.
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San Diego, CA
Average Salary: $140,681
San Diego offers a mix of biotech and tech opportunities. Companies like Illumina and Qualcomm rely on data experts. Working here means being part of a community that values innovation and a high quality of life.
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Boston, MA
Average Salary: $138,450
Boston is a hub for education and tech, with companies like Harvard and General Electric. Working here means being part of a community that values research and data-driven insights. The city offers a rich history and a vibrant culture.
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What are the best companies a Data Scientist can work for?

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Netflix
Average Salary: $455,789
Netflix offers exciting Data Scientist jobs. They work on big data to improve user experience. Netflix operates globally, with major offices in the US, Canada, and Europe.
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OpenAI
Average Salary: $320,417
OpenAI provides opportunities for Data Scientists to work on cutting-edge AI. They focus on making AI safe and beneficial. The company is based in San Francisco, California.
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USAA
Average Salary: $228,246
USAA offers rewarding Data Scientist roles. They use data to improve financial services for military members. USAA is based in San Antonio, Texas.
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Intuit
Average Salary: $224,933
Intuit offers Data Scientist jobs focused on financial software. They aim to make tax filing easier. Intuit is headquartered in Mountain View, California.
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Atlassian
Average Salary: $208,651
Atlassian provides Data Scientist roles in software development. They focus on creating tools for teams. Atlassian has offices in Sydney, Australia, and San Francisco, California.
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Salesforce
Average Salary: $207,713
Salesforce offers Data Scientist jobs in cloud computing. They work on improving customer relationship management. Salesforce is based in San Francisco, California.
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Apple
Average Salary: $207,577
Apple offers Data Scientist roles in tech innovation. They focus on creating new products and services. Apple is headquartered in Cupertino, California.
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Genentech
Average Salary: $204,017
Genentech provides Data Scientist jobs in biotechnology. They work on developing new medicines. Genentech is based in South San Francisco, California.
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goPuff
Average Salary: $198,295
goPuff offers Data Scientist roles in e-commerce. They focus on improving delivery services. goPuff is headquartered in Philadelphia, Pennsylvania.
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Ericsson-Worldwide
Average Salary: $191,471
Ericsson offers Data Scientist jobs in telecommunications. They work on improving global communication networks. Ericsson has offices worldwide, with a major presence in Stockholm, Sweden.
How to earn more as a Data Scientist?
Data scientists have a growing demand for their skills. To earn more in this field, consider the following factors. Each one plays a crucial role in increasing earning potential. Understanding these factors can help guide career decisions and salary negotiations.
First, gaining specialized skills can lead to higher pay. Focus on areas like machine learning, deep learning, or big data analytics. These skills can set a data scientist apart from others. Second, earning advanced degrees or certifications can boost earnings. A master's degree or a Ph.D. in data science or a related field can be very beneficial. Third, gaining experience in high-demand industries can lead to higher salaries. Industries like finance, healthcare, and technology often offer higher pay. Fourth, developing strong communication skills can help in negotiations. Being able to explain complex data insights clearly can lead to better job offers. Finally, networking with other professionals can open up higher-paying opportunities. Attend industry conferences and join professional organizations.
Consider these factors to increase earning potential. Specializing in key skills, pursuing advanced education, working in high-demand industries, improving communication, and networking can all lead to higher salaries.
- Specialize in key skills like machine learning and deep learning.
- Earn advanced degrees or certifications in data science.
- Gain experience in high-demand industries like finance and technology.
- Develop strong communication skills to explain data insights.
- Network with other professionals to find higher-paying opportunities.