Data Scientist Salary in Stockton, CA (2026)

Careerclev's modeled 2026 benchmark places Data Scientist pay in Stockton, CA at about $142,023 per year. On the latest official BLS baseline for this market, the lower local range starts near $68,860.0, while the strongest-paid professionals can reach about $184,610.

Salary estimates are based on data from the Stockton-Lodi, CA metropolitan area, which includes nearby cities such as Lodi.

If you’re comparing Data Scientist salaries in Stockton, CA, the real story isn’t just the headline number. Local employer mix, seniority, specialization, and whether the role is remote, hybrid, or onsite can push compensation well above or below the local median.

Stockton, CA pays +26% vs u.s. for Data Scientist roles. The difference is driven by local employer demand, industry mix, cost pressures, and how concentrated this role is in the underlying metro labor market.

Experience changes the local salary picture quickly because employers usually pay for independence, specialization, and broader scope, not just years on paper. In Stockton, CA, this breakdown shows how aData Scientist can move from early-career pay into stronger bands as the role becomes more self-directed.

Nearby metro areas help show how Data Scientist pay changes around Stockton, CA. Each market reflects its own employer mix, local demand, and industry concentration, making these comparisons useful for candidates weighing their location options.

Industry premiums in Stockton, CA usually come from employers that place the Data Scientist role close to revenue, infrastructure, compliance, product delivery, or other high-value work. National industry data gives the best available benchmark until local industry slices are available.

Skills like Python can make a Data Scientist easier to price at the high end of the Stockton, CA market, especially when the skill is tied to complex systems, measurable business value, or scarce local supply.

Entry-level Data Scientist jobs in Stockton, CA are modeled around the lower local wage percentiles. Candidates who can show practical projects, job-ready tools, and strong fundamentals usually have a better path into the middle of the local salary range.

For a broader starting-pay benchmark beyond this city market, see the entry-level Data Scientist salary guide.

Remote work can widen the employer pool for Data Scientist candidates in Stockton, CA. Onsite and hybrid roles may still pay more when employers need local availability, local clients, regulated work, or team coverage.

A salary in Stockton, CA should be read alongside housing, commuting, tax, and everyday costs. The same annual pay can feel very different at entry, mid-level, and senior levels.

Employer mix is one of the biggest city-level salary drivers. The industries below highlight where Data Scientist pay tends to be strongest in Stockton, CA, based on the sectors that create the most hiring demand for this role.

This comparison is useful when one city salary number is not enough on its own. It shows whetherStockton, CA is genuinely a stronger-paying market for Data Scientist work or whether the local benchmark sits closer to the broader national middle.

Historical salary trend data for Data Scientist in Stockton, CA is available across multiple BLS wage years. The chart below shows how the local salary benchmark has changed over time.

Local career growth is strongest when it is read through both the city salary ladder and the broader national demand outlook. The city salary benchmark shows what this market currently pays, while the career path and BLS demand data show how that benchmark can expand with scope and responsibility.

Local pay rarely moves for one reason alone. In city markets, the biggest differences usually come from employer concentration, industry mix, seniority, and whether the role is tied to business-critical work that is harder to staff.

In city markets, salary growth often comes from better positioning as much as from patience. These moves are most useful when you already understand the local benchmark and want a clearer path beyond it.

Related roles help when the current title looks close to your target but not quite right. In many cases, a nearby role shares enough of the same skill base to be a more practical comparison than a completely different career path.

These questions usually come up after readers compare the city benchmark, the statewide picture, and the local experience ladder. They help clarify how to read the market and what matters most when you compare this city with other options.

These FAQs focus on how readers searching for "Data Scientist" usually compare local pay, employer mix, and market differences in this city.