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Hiring a data scientist in Irvine, CA

Employers in the Los Angeles-Long Beach-Anaheim, CA area pay data scientists a median of $129,740, with the middle half of the market between $91,350 and $168,420. Irvine residents working in computer and mathematical occupations report a median of $123,512, which is 5% below what the metro pays for this role.

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What does a data scientist earn here?

Place of work

What employers pay

Annual wages paid by employers in the Los Angeles-Long Beach-Anaheim, CA area. BLS OEWS, May 2025.
25th percentile$91,350
Median$129,740
75th percentile$168,420

Half of data scientists in this area earn between $91,350 and $168,420. A band set below $91,350 competes for the bottom quarter of the market.

Place of residence

What Irvine residents earn

$123,512

Median earnings of Irvine residents working in computer and mathematical occupations, 16,923 people. Census ACS 5-year 2023, tables S2401 and B24011. Where people live, not where they work, so it is not the same measurement as the wages beside it.

The 5% figure is not a pay gap. ACS counts the civilian employed population 16 and over, part-time and part-year work included; OEWS counts wage-and-salary jobs only. The two populations differ, so read this number against other cities rather than as a shortfall: the same definitional difference applies to every city equally, which is what makes a city-to-city reading sound.

The two sit close together, so pay alone is unlikely to be what wins or loses this hire.

What does the role actually involve?

Core tasks

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • Clean and manipulate raw data using statistical software.
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.

O*NET 29.1, task statements for SOC 15-2051.

Tools and technologies in demand

Amazon Web Services AWS software, Apache Hadoop, Apache Spark, C, C++, Docker, Git, Microsoft Azure software.

O*NET 29.1, flagged in demand or hot for this occupation. Useful as a screen, not as a checklist.

Is the talent actually in Irvine?

This is a job zone four: considerable preparation needed occupation. Most of these occupations require a four-year bachelor's degree, but some do not.

That matters here, because 70.6% of Irvine adults hold a bachelor's degree or higher. That is a deep local pool for a degree-requiring role. Census ACS 5-year 2023, table S1501.

The average Irvine commute runs 24.3 minutes, which is roughly how far your catchment reaches before candidates start saying no. 25.9% already work from home, so a fully onsite requirement here is competing against that.

How often do these jobs turn over?

In Orange County, computer systems design and related services employs 28,823 and turns over 5.9% a quarter, with 2,066 hires against 2,304 separations. Average earnings in that industry run $14,426 a month. Census LEHD Quarterly Workforce Indicators, 2024 Q1, NAICS 5415.

That figure covers every occupation in the industry, not this role alone, so read it as the local churn rate rather than as a number about data scientists. It still tells you what you are hiring into: a low-churn market, where people do not move often and passive candidates are the whole game.

What does the search cost?

The fee is set by the seniority of the role, never by salary and never by location. Across all six tiers it runs $6,240 to $54,340 per search. A contingency firm hiring at this role's median would bill roughly $25,948 to $38,922 on the first year salary alone.

One owner runs the search from market map to signed offer. Searches typically fill in 23 to 35 days, which is a typical window rather than a promise, and the replacement guarantee runs 45 days at 50% off.

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Related

Irvine is the 13th largest of 21 California cities in this dataset.