How much does a Data Scientist make in Sunnyvale, CA?
In Sunnyvale, CA, a Data Scientist can expect a competitive salary that reflects the high demand for skilled professionals in the tech industry. The average yearly salary for a Data Scientist in this area is approximately $191,174. This is higher than the national average, showing that tech hubs like Sunnyvale offer attractive compensation packages.
Data Scientists in Sunnyvale often work for leading tech companies, startups, or research institutions. They use data to solve complex problems and drive decision-making. The salary range can vary based on experience and specific skill sets. Many top earners in the field make over $200,000 per year, while entry-level positions may start around $140,000 annually. This range offers great opportunities for career growth and salary increases as professionals gain more experience and expertise.
What are the highest paying cities for a Data Scientist near Sunnyvale, CA?

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Los Gatos, CA
Average Salary: $343,597
Working in Los Gatos offers a vibrant tech environment with opportunities in both startups and established companies. The city's tech-savvy culture makes it a great place to develop your analytical skills and contribute to innovative projects.
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Los Altos, CA
Average Salary: $224,475
Los Altos provides a strong tech ecosystem with prominent firms that value data-driven insights. Professionals here enjoy a dynamic work atmosphere where their contributions can significantly impact business strategies.
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Cupertino, CA
Average Salary: $212,517
Cupertino, home to Apple, is an exciting place for those interested in leveraging data for groundbreaking tech solutions. The city’s tech-centric environment fosters a culture of innovation and continuous learning.
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Menlo Park, CA
Average Salary: $193,170
Menlo Park is known for its thriving tech scene, especially with companies like Facebook. Working here means being part of a community that values data analysis and creativity in problem-solving.
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Mountain View, CA
Average Salary: $181,915
In Mountain View, you’ll find a mix of large corporations and innovative startups that need expert data analysis. The city's tech-forward environment offers numerous opportunities for growth and collaboration.
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San Jose, CA
Average Salary: $167,720
San Jose is a hub for technology and innovation, offering various opportunities for those skilled in data analysis. Companies here are looking for professionals who can turn complex data into actionable insights.
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Fremont, CA
Average Salary: $167,417
Fremont combines a diverse business landscape with a focus on technology. Working here means contributing to a wide range of industries that value data-driven decision-making.
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Santa Clara, CA
Average Salary: $162,572
Santa Clara is a key player in the tech industry, offering many opportunities for data experts. The city's vibrant tech environment encourages professionals to develop cutting-edge solutions.
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Palo Alto, CA
Average Salary: $162,515
Palo Alto is known for its innovative tech companies and a strong emphasis on data analytics. Professionals here have the chance to work on exciting projects that drive business success.
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Redwood City, CA
Average Salary: $156,921
Redwood City is home to several tech giants and startups, providing a rich environment for data professionals. The city’s dynamic business culture offers many opportunities for career advancement.
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What are the best paying companies for a Data Scientist in Sunnyvale, CA?

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Apple
Average Salary: $205,292
Apple Inc. is a global tech giant known for its innovation in electronics. The company has its headquarters in Cupertino, CA. Data scientists at Apple develop algorithms to enhance the user experience on devices like iPhones and Macs. Apple's commitment to cutting-edge technology provides data scientists with exciting challenges and growth opportunities.
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Walmart
Average Salary: $189,474
Walmart employs data scientists to optimize their retail operations and enhance customer experience. Based in Bentonville, AR, but with a significant presence in Sunnyvale, CA, Walmart focuses on data analytics to streamline supply chains and improve product recommendations. Data scientists here have the chance to impact retail on a global scale.
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Google
Average Salary: $177,577
Google offers top-tier opportunities for data scientists in Sunnyvale, CA. Working at Google means delving into massive datasets to improve products like search engines and maps. Google fosters a culture of innovation, providing data scientists with the tools and environment to push the boundaries of technology.
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Amazon.com
Average Salary: $158,238
Amazon, headquartered in Seattle, WA, provides a dynamic environment for data scientists in Sunnyvale, CA. These professionals analyze consumer behavior to enhance user experience and operational efficiency. Amazon's vast array of data offers data scientists numerous opportunities to apply their skills and drive innovation.
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Uber
Average Salary: $143,050
Uber is revolutionizing transportation through data science. Based in San Francisco, CA, but with operations in Sunnyvale, Uber's data scientists analyze rider data to improve ride-sharing services. They work on projects that enhance safety, efficiency, and user satisfaction, making a direct impact on daily commutes.
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Intuitive (Intuitive Surgical)
Average Salary: $125,685
Intuitive Surgical, based in Sunnyvale, CA, specializes in minimally invasive surgical solutions. Data scientists here develop algorithms to improve surgical robotics and patient outcomes. Working at Intuitive Surgical means contributing to life-saving medical technology and advancing healthcare through data-driven insights.
What are the best paying Data Scientist related jobs in Sunnyvale, CA?

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Epidemiologist
Average Salary: $207,900
This role focuses on understanding disease patterns. Professionals study health data to identify causes and prevent outbreaks. Companies like Google and Microsoft seek experts to protect public health.
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Computer Scientist
Average Salary: $201,900
Computer scientists develop algorithms and software. They work closely with data teams to improve data processes. Tech giants such as Apple and Oracle often hire these professionals to enhance their data systems.
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Machine Learning Engineer
Average Salary: $200,883
These engineers create models to analyze data. They help automate processes and improve decision-making. Firms like Intel and Google actively recruit these specialists to advance their tech solutions.
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Market Intelligence Analyst
Average Salary: $199,000
Analysts gather and interpret market data. They provide insights to help businesses make informed decisions. Companies such as Oracle and Adobe value these insights for strategic planning.
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Software Engineer
Average Salary: $184,616
Software engineers design and develop applications. They work with data scientists to create tools that manage and analyze data. Firms in Sunnyvale, like VMware and Lam Research, need these experts for their tech development.
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Research Analyst
Average Salary: $173,017
Research analysts collect and analyze data. They prepare reports to support business strategies. Major corporations, including LinkedIn and Cisco, rely on these analysts to drive their research efforts.
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Data Engineer
Average Salary: $163,542
Data engineers build systems for data collection and storage. They ensure data is easily accessible and usable. Tech companies like Tesla and Intel depend on these engineers to handle large data volumes.
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Statistician
Average Salary: $160,150
Statisticians analyze data to uncover trends. They provide insights that guide business decisions. Firms such as Apple and Oracle need statisticians for their data-driven projects.
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Clinical Data Associate
Average Salary: $139,602
These professionals work in healthcare. They manage clinical trial data and ensure it is accurate. Companies like Novartis and Gilead Sciences hire these experts for their clinical research.
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Business Intelligence Analyst
Average Salary: $132,775
These analysts interpret data to help businesses make decisions. They create reports and dashboards to show key insights. Firms such as Cisco and eBay depend on these insights for their strategic moves.
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