Median salary for a Data Scientist in Los Angeles is $175k per year. Hire remotely via KiteHR and save 52% — or $91k annually.
Local Median
$175k
Remote Median
$84k
You Save
52%
Annual Savings
$91k
| Percentile | Local (Los Angeles) | Remote |
|---|---|---|
| P25 — Entry level | $140k | $75k |
| P50 — Median | $175k | $84k |
| P75 — Senior / Lead | $220k | $93k |
Salary + estimated benefits, payroll taxes, and overhead (30% local / 15% remote).
In-person in Los Angeles
$228k
/year total cost
Remote via KiteHR
$97k
/year total cost
The median Data Scientist salary in Los Angeles is $175k per year. Entry-level roles start around $140k, while senior or lead-level Data Scientists can earn up to $220k. 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 Los Angeles-based hire saves approximately 52% — or $91k per year. Remote Engineering professionals typically earn $84k median, compared to the local Los Angeles rate of $175k.
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 Los Angeles is approximately $228k per year. Hiring remote reduces this to roughly $97k, saving $131k annually.
How many Data Scientists are you hiring in Los Angeles?
Annual savings with remote team
$273k
$91k per role × 3 hires
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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.