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A typical data scientist in San Diego, CA earns about $153,000 a year — 26% above the United States median for the same occupation. That premium is real cash, but San Diego’s cost-of-living index is 100 (100 = US baseline), so the extra pay has to be judged against rent and prices, not collected as a pure raise.
Data scientists turn raw data into insight using statistics, machine learning, and clear communication. In San Diego, CA the title is noisy: some “data scientist” seats are analyst work paid near $153,000, while production ML seats push toward $153,000. The $153,000 median is the blended market, not a single job family. Employers screening data scientists in San Diego, CA still list Python, SQL, Statistics, and Machine learning as core. The local band runs from about $99,200 at the 10th percentile to $237,000 at the 90th.
The percentiles on this page are observed metro figures for Data Scientist in San Diego, CA, not a national median multiplied by a pay index. That matters: you are looking at how this labour market actually priced the role, including local industry mix. They are still estimates of the market — not a promise of what one employer will offer.
Among the 9 United States metros we can compare for this role, San Diego ranks 2 by median. Washington DC leads this comparison at $174,000 (+14% vs San Diego), while San Antonio sits at $106,000. Use those gaps to test a relocation thesis: a 15% cash raise that lands in a much more expensive metro can disappear in rent.
San Diego’s COL index (100) sits nearer the global baseline, so headline and adjusted pay are not far apart ($153,000 vs $153,000). Rent still matters: the 1-bedroom model is $1,650 / month, about 16% of take-home, with leftover near $7,130.
If you are comparing a San Diego office offer with a location-flexible one, the United States national median for this role is about $121,000. Local pay is 26% higher — a $32,000 gap. Remote employers often anchor to the national figure; on-site employers in San Diego are anchoring to this page.
World Bank consumer-price inflation for United States was about 2.9% in 2024; an illustrative model tied to inflation and the occupation’s outlook suggests pay has risen about 28% over the last few years. H-1B / employment-based green card is the usual skilled-hire route (selective for typical hires): Most skilled foreign hires enter via employer-sponsored H-1B (lottery-capped) or specialty routes; permanent residence usually follows an employment-based petition. At 1.7× United States GDP per capita, this median is around a typical national living standard. Unemployment was about 4.2% in 2025. None of that is tax, immigration, or career advice — run the calculators and confirm rules officially.
How to read a data scientist offer in San Diego
Start with gross cash, not the recruiting headline. If an offer lands near $153,000, you are in the lower half of this metro’s observed distribution; near $153,000 you are already paid like a stronger local hire. Then subtract a realistic tax path (simplified national effective rate here is about 17%, leaving $127,546 a year) and a housing number you would actually accept — not only the $1,650 model.
Because the 90th percentile is about 2.4× the 10th, two data scientist jobs in San Diego can be different careers that share a title. Ask what sits in the package (bonus, overtime, equity, on-call) before you treat $153,000 as a fair target.
Demand and the data scientist pipeline
Occupation-level employment for data scientists is projected at about +35% over ten years. That is a national sketch of demand, not a forecast that San Diego will hire at that rate. Local openings still follow San Diego’s industry mix — hospitals, studios, public employers, or product companies — which is already baked into the observed percentiles more than into the outlook percentage.
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