Data Scientist Salary in San Francisco, CA: $141,839 (2024)

The median data scientist salary in San Francisco, CA is $141,839 per year ($68.19/hour) as of 2026. This is based on official U.S. Bureau of Labor Statistics data. Salaries range from $90,674 for entry-level positions to $205,909 for experienced professionals in the top 10%.

Entry-level data scientists in San Francisco, CA typically start at around $90,674 per year ($43.59/hour), representing the 10th percentile. New graduates and those with less than 2 years of experience fall into this range. With experience and skill development, salaries can progress to the median of $141,839 within 3-5 years.

Data Scientists in San Francisco, CA earn a median hourly wage of $68.19 per hour. Hourly rates range from $43.59/hour at entry-level (10th percentile) to $98.99/hour for top earners (90th percentile). Based on a standard 2,080-hour work year, this translates to annual salaries between $90,674 and $205,909.

The median data scientist salary of $141,839 in San Francisco, CA is significantly above the national median of $108,020 (31.3% higher). However, the cost of living is 69% above the national average, which affects purchasing power. This salary places you at the 50th percentile, meaning half of data scientists in the area earn more and half earn less.

Data Scientists in San Francisco, CA earn significantly above the national average. The local median salary of $141,839 is 31.3% higher than the national median of $108,020. However, the cost of living is 69% above the national average, which affects purchasing power. When adjusted for cost of living, the effective salary is approximately $83,780.

The top 10% of data scientists in San Francisco, CA earn $205,909 or more per year ($98.99/hour). These top earners typically have 10+ years of experience, advanced certifications, specialized expertise, or hold senior/management positions. The 75th percentile earns $171,544, which is a realistic goal for mid-career professionals.

Key skills that can boost data scientist salary in San Francisco, CA include: Strong programming skills (Python, R, SQL), Statistical analysis and machine learning expertise, Data visualization tools (Tableau, Power BI), Big data technologies (Spark, Hadoop). Professionals with these skills often earn above the median of $141,839, potentially reaching the 75th percentile ($171,544) or higher. Education level (PhD commands premium)

San Francisco, CA has a specialized job market for data scientists, with approximately 212 professionals employed in the area. The median salary of $141,839 is significantly above the national average. However, the cost of living is 69% above the national average, which affects purchasing power. Job seekers should consider both salary and local industry demand when evaluating opportunities.

Compare your data scientist salary to these San Francisco, CA benchmarks: 10th percentile (entry-level): $90,674, 25th percentile: $119,430, 50th percentile (median): $141,839, 75th percentile: $171,544, 90th percentile (top earners): $205,909. If you earn more than $141,839, you're above average for the area.

Beyond the $141,839 median base salary, data scientists in San Francisco, CA typically receive comprehensive benefits including health insurance (medical, dental, vision), retirement plans (401k with employer matching), paid time off (15-25 days), and potentially bonuses or profit-sharing. Total compensation including benefits typically adds 25-40% to base salary value.

Experienced data scientists with 5-10 years in San Francisco, CA typically earn $171,544 (75th percentile) to $205,909 (90th percentile) per year. Senior professionals with 10+ years, certifications, or management roles can reach the top 10% at $205,909. Mid-career professionals (3-5 years) usually earn around the median of $141,839.

Data Scientists in San Francisco, CA can see significant salary growth over their careers. Entry-level ($90,674) to median ($141,839) typically takes 3-5 years. Reaching the 90th percentile ($205,909) may take 10+ years and often requires specialized skills, certifications, or leadership experience. That's a potential growth of $115,235 over a career.