Principal Data Scientist Salary.
Across 81 U.S. cities.
$228,000
national median salary
$177,000 to $296,000. Last updated April 2026.
Highest Paying
$317,000
San Francisco, CA
Best Purchasing Power
$238,000
Jersey City, NJ
Lowest Paying
$173,000
Jackson, MS
Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026. Baseline derived from BLS SOC 15-2051. Full methodology.
The average Principal Data Scientist salary in the United States is $228,000 in 2026, with the full range spanning $177,000 at the 25th percentile to $296,000 at the 75th. San Francisco pays the most at $317,000, while Jersey City offers the best purchasing power after cost-of-living adjustments. Principal Data Scientist compensation is driven by publication record, domain specialization, and whether the work involves production model training or applied research.
Principal Data Scientist salary by city
Skills that increase Principal Data Scientist pay
The skills below command measurable salary premiums for Principal Data Scientists based on job posting data. Learning the top skill here could add $31,920 to your annual compensation.
≈ +$31,920 per year
≈ +$29,640 per year
≈ +$27,360 per year
≈ +$25,080 per year
≈ +$22,800 per year
≈ +$22,800 per year
≈ +$22,800 per year
≈ +$20,520 per year
What you should know
Principal Data Scientist compensation is driven by publication record, domain specialization, and whether the work involves production model training or applied research. Equity is a major component at roughly 35% of base — candidates should weight stock grants as heavily as salary when comparing offers. Within tech-sector Principal Data Scientists specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 67%+ variance across the compensation band.
Principal Data Scientists progress Research Engineer → Senior → Staff → Principal → Distinguished over 8 to 15 years. Frontier-AI labs compress this ladder — a strong PhD can land at L5/Senior directly. The VP Research track diverges around year 10 for those who choose to lead labs. For Principal Data Scientists specifically, the seniority anchor typically means 7 to 12 years of experience with demonstrated independent scope.
Total compensation for Principal Data Scientists runs roughly $354K at median when factoring base + equity (35% of base annually) + bonus (15% of base). Equity is the single largest non-base component — candidates should model vesting schedules (typically 4-year with 1-year cliff) and compare grant values across offers carefully. At tech companies specifically, equity and sign-on are often the largest delta between offers — two roles with matching base can differ by $100K+ at total when equity is included.
Total compensation breakdown
Salary by company size
Remote salary adjustment
Remote Principal Data Scientists typically earn $212,000 (7% less than on-site). This reflects location-adjusted pay policies at companies using geographic salary bands. Some companies pay flat national rates regardless of location.
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