As of June 01, 2026, the average annual salary for Principal Data Scientist in California is $199,665, equivalent to $96 per hour, $3,840 weekly, or $16,639 monthly. These figures, sourced from Salary.com’s real-time job posting scans, highlight competitive earning potential for Principal Data Scientist in cities like San Jose, Santa Clara, and San Francisco.
Annually Salaries for Principal Data Scientist in California vary widely, spanning from $172,653 to $219,926. Most professionals fall between the 25th percentile ($185,526) and 75th percentile ($210,270), while top earners (90th percentile) make $219,926 per year. This $24,744 pay gap underscores opportunities for salary growth through certifications, specialized skills like Analysis or Computer Science, or targeting high-paying regions like District of Columbia or California.
Location and experience significantly influence earnings. For example, California Principal Data Scientist often earn 10.3% higher than national averages due to demand from Fortune 61 companies. However, California currently ranks 2 nationwide for Principal Data Scientist job salary. Professionals are advised to focus on high-growth sectors like to offset market challenges.
