As of July 01, 2026, the average annual salary for Principal Data Scientist in the US is $181,030, equivalent to $87 per hour, $3,481 weekly, or $15,086 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 the US vary widely, spanning from $156,537 to $199,423. Most professionals fall between the 25th percentile ($168,209) and 75th percentile ($190,658), while top earners (90th percentile) make $199,423 per year. This $22,449 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, District of Columbia Principal Data Scientist often earn 10.7% above national averages due to demand from Fortune 61 companies and industry startups. Professionals are advised to focus on high-growth sectors like to offset market challenges.
