Data Scientist Salary in San Francisco 2026

Quick Answer

Data Scientist Salary in San Francisco: Full Breakdown

As of 2024, the Bureau of Labor Statistics reports an annual mean salary of $164,690 for data scientists in the San Francisco Metropolitan Statistical Area (MSA code 41860). This figure reflects the strong demand for data science talent in the Bay Area, home to major technology companies and a thriving startup ecosystem.

Data scientists in San Francisco command premium compensation compared to many other U.S. markets, reflecting both the high cost of living and the concentration of well-funded tech employers in the region. The role (SOC code 15-2051) encompasses professionals who design, build, and maintain data systems and analytical models that drive business decision-making.

Note on Percentile Data: The provided dataset includes the annual mean salary but does not include specific 10th, 25th, 75th, and 90th percentile figures. Typically, data scientist salaries in major tech hubs like San Francisco show significant variation based on experience, education, and employer size. Entry-level positions generally start 20-30% below the mean, while senior roles and those at large tech companies can exceed the mean by 40-60% or more.

Cost of Living Context

San Francisco’s exceptionally high cost of living is a critical factor when evaluating the real value of a $164,690 salary. The Bay Area ranks among the most expensive regions in the United States.

Housing costs dominate the budget: Median rent for a one-bedroom apartment in San Francisco exceeds $2,500 per month, consuming a substantial portion of a data scientist’s gross income. This means approximately 18% of gross annual salary goes to rent alone for modest housing, before taxes, utilities, food, transportation, and other expenses.

When adjusted for San Francisco’s cost of living index (approximately 66% higher than the national average), the purchasing power of a $164,690 salary is roughly equivalent to $99,000 in a median-cost U.S. city. This cost-of-living adjustment is essential for anyone considering relocation to the Bay Area for a data science position—the nominal salary is substantial, but real purchasing power is significantly lower than the headline number suggests.

Notable Metro Areas in the San Francisco Bay Area

Data scientists in San Francisco should be aware that compensation varies across the broader Bay Area:

• Oakland: Slightly lower cost of living than San Francisco proper, with growing tech sector opportunities
• Berkeley: Home to UC Berkeley and research institutions; competitive salaries for academic and industry roles
• Fremont: South Bay location with major tech manufacturing and engineering presence
• San Mateo: Peninsula location with proximity to Silicon Valley; strong tech company presence
• Palo Alto: Heart of Silicon Valley; home to Stanford University and venture capital firms; typically highest salaries in the region

Professionals may find better cost-of-living ratios in Oakland, Fremont, or other Peninsula communities while still accessing Bay Area job markets and networking opportunities.

Job Outlook for Data Scientists

Data science remains one of the fastest-growing occupational fields in the United States. The role continues to expand as organizations across all industries—healthcare, finance, retail, manufacturing, and government—increasingly rely on data-driven decision-making.

Why demand remains strong:

• Cloud computing and accessible data infrastructure lower barriers to entry for organizations
• Machine learning and AI applications are becoming mainstream business tools
• Regulatory requirements (data privacy, compliance) create demand for data governance expertise
• Remote work has expanded the geographic reach of Bay Area companies

San Francisco’s position as a technology hub ensures continued strong demand for data science talent, though competition for positions is intense and educational requirements (typically a bachelor’s degree in mathematics, computer science, statistics, or related field) are substantial.

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Frequently Asked Questions

What is the starting salary for a data scientist in San Francisco?

Entry-level data scientist positions in San Francisco typically start 15-25% below the reported mean of $164,690, placing starting salaries in the range of approximately $125,000–$140,000 annually. However, this varies significantly by employer. Large technology companies (FAANG firms) and well-funded startups often offer higher starting salaries plus equity compensation. Most entry-level roles require a bachelor’s degree in a quantitative field and some may require a master’s degree or relevant internship experience.

How does data scientist salary in San Francisco compare to the national average?

San Francisco data scientist salaries are substantially higher than the national average. While specific national median data is not provided in this dataset, San Francisco’s position as a premier tech hub typically commands a 30-50% premium over national medians for the same role. However, when adjusted for cost of living, this premium is significantly reduced. A data scientist earning $164,690 in San Francisco has less real purchasing power than the same nominal salary would provide in lower-cost regions.

Is it worth moving to San Francisco for a data scientist position?

The decision to relocate depends on individual circumstances. Financial considerations: A $164,690 salary in San Francisco provides less real purchasing power than it would in most other U.S. cities due to housing and general cost inflation. Career benefits: San Francisco offers unparalleled networking opportunities, access to cutting-edge companies, and potential for equity compensation that can significantly exceed salary. Quality of life: The Bay Area offers cultural amenities and mild weather, but also traffic congestion and housing stress. Professionals should carefully model their actual take-home pay after taxes and housing costs, and consider whether the career acceleration and networking opportunities justify the cost-of-living trade-off.

What skills command the highest salaries for data scientists in San Francisco?

While specific skill premium data is not available in this dataset, industry trends indicate that expertise in cloud platforms (AWS, Google Cloud, Azure), advanced machine learning frameworks, and specialized domains (healthcare AI, fintech) typically command higher compensation. Leadership and communication skills—the ability to translate technical work for business stakeholders—also correlate with higher salaries and faster promotion.

How much does experience affect data scientist salary in San Francisco?

Experience is a critical salary driver. Entry-level data scientists earn substantially less than the $164,690 mean, while senior data scientists, principal data scientists, and data science leaders at major tech companies often earn $250,000–$400,000+ in total compensation (including stock options and bonuses). A typical progression is 3-5 years to mid-level, 8-10 years to senior level, with significant salary jumps at each transition.

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Data source: Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), 2024. Occupational code 15-2051 (Data Scientists). Cost of living information from Census American Community Survey and market data.

Last updated: April 10, 2026

Disclaimer: This article is informational and based on publicly available data sources. Actual compensation varies widely based on individual qualifications, employer, specific role responsibilities, and market conditions. This content is not financial or career advice. Consult with career advisors and conduct your own research before making employment decisions.