Median salary for a Data Scientist in San Francisco is $240k per year. Hire remotely via KiteHR and save 52% — or $125k annually.
Local Median
$240k
Remote Median
$115k
You Save
52%
Annual Savings
$125k
| Percentile | Local (San Francisco) | Remote |
|---|---|---|
| P25 — Entry level | $190k | $103k |
| P50 — Median | $240k | $115k |
| P75 — Senior / Lead | $290k | $127k |
Salary + estimated benefits, payroll taxes, and overhead (30% local / 15% remote).
In-person in San Francisco
$312k
/year total cost
Remote via KiteHR
$132k
/year total cost
The median Data Scientist salary in San Francisco is $240k per year. Entry-level roles start around $190k, while senior or lead-level Data Scientists can earn up to $290k. Data reflects 2025 market rates sourced from BLS OES, DOL H-1B LCA disclosures, and KiteHR market research.
Hiring a remote Data Scientist vs. a San Francisco-based hire saves approximately 52% — or $125k per year. Remote Engineering professionals typically earn $115k median, compared to the local San Francisco rate of $240k.
Yes — Engineering roles like Data Scientist have a high degree of remote compatibility. Latin America, Eastern Europe, and Southeast Asia have deep talent pools for this category. KiteHR can help you post the role, screen candidates, and manage the hiring pipeline entirely online.
The total employer cost — including salary, payroll taxes, health benefits, and overhead — for a Data Scientist in San Francisco is approximately $312k per year. Hiring remote reduces this to roughly $132k, saving $180k annually.
How many Data Scientists are you hiring in San Francisco?
Annual savings with remote team
$374k
$125k per role × 3 hires
Generate a Data Scientist job description with AI, post it, and start receiving remote applicants — all for free.
Generate JD with AIData sourced from BLS OES, DOL H-1B LCA disclosures, and KiteHR market research. Figures are estimates and may vary by company, seniority, and experience level.
Post a remote Data Scientist role on KiteHR, track applicants with AI-powered tools, and make your first hire — all for free.