Principal Data Scientist Salary in San Francisco (2026)
Principal Data Scientists in San Francisco earn a median base salary of $377K per year, based on 5,000 verified data points. This guide covers salary ranges, total comp, and negotiation tactics specific to the principal level in 2026.
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Data Scientist salary by level in San Francisco
See how principal-level pay compares to other seniority bands for the same role and location.
* Figures are approximate estimates relative to the principal-level verified data above.
What does a Principal Data Scientist earn in San Francisco in 2026?
The median base salary for a Principal Data Scientist in San Francisco is $377K per year, with the 25th–75th percentile range spanning $295K–$477K. Total annual compensation — including bonuses and equity — typically reaches $557K at the median for principal-level engineers.
At the principal level, engineers own cross-organisational technical strategy. The Principal level is the individual contributor equivalent of a Director, and compensation reflects both the scarcity of this talent and the leverage these engineers provide.
To negotiate effectively, open at $437K — the 65th percentile for this level and location — which gives you room to settle above median while appearing reasonable. Know your walk-away floor: $295K.
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Top-paying companies for Principal Data Scientists in San Francisco
| Company | Median Base |
|---|---|
| Netflix | $418K |
| $352K | |
| Meta | $342K |
| OpenAI | $466K |
| Anthropic | $475K |
| Palantir | $357K |
| Microsoft Research | $371K |
Skills that pay more at the principal level
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