Data Scientist Salary in Arizona: Pay by Experience, City & Take-Home

A data scientist in Arizona earns a median of $107,240 a year, which works out to about $51.56 an hour, according to the U.S. Bureau of Labor Statistics (2025). Most pay lands between $80,820 (25th percentile) and $134,070 (75th percentile), and the top 10% clear $161,730. Arizona’s state income tax is a flat 2.5%, one of the lowest in the country, so take-home here stretches further than the headline number suggests.

How Arizona compares to the national median

The national median for data scientists is $120,230, per BLS (2025). Arizona’s $107,240 sits $12,990 below that, or about 11% under the U.S. midpoint. That gap is real, but it doesn’t tell the whole story. Two things soften it.

First, the cost of living in most of Arizona runs below the big coastal markets that pull the national number up. Second, Arizona’s flat 2.5% income tax is far gentler than California’s top brackets or New York’s, so a chunk of that nominal gap closes once taxes come out. The state mean wage is $111,950, a little above the median, which tells you the top end of the market is pulling the average up. Phoenix data scientists in particular earn well above the statewide figure, as the metro table below shows.

It helps to read the gap as a percentage rather than a flat dollar figure. The national median hourly is $57.80 against Arizona’s $51.56, a difference of $6.24 an hour. Spread that across a 2,080-hour work year and you get the same $12,990 annual gap. That’s meaningful at the median, but it shrinks fast at the top of the range. A senior Arizona data scientist at the 90th percentile earns $161,730, which beats the national median outright by $41,500. In other words, the state lags on the typical paycheck, not on the ceiling. Experienced and lead-level data scientists in Phoenix compete on pay with their peers almost anywhere outside the very highest-cost coastal hubs, and they do it while paying a fraction of the state income tax.

Data scientist pay in Arizona by experience

Experience moves this number more than almost any other factor. An entry-level analyst still learning the production stack sits near the bottom decile. A staff or principal data scientist running a team and owning model deployment sits at the top. Here is how the BLS (2025) percentile spread maps onto career stage in Arizona.

The jump from entry to median is the steepest part of the curve. Moving from the 10th to the 50th percentile is a $42,040 raise, and most of that happens in the first four to six years as you go from cleaning data and building dashboards to owning models that ship. From median to the 90th percentile is another $54,490, but that climb is slower and usually requires either a specialty (ML engineering, causal inference, NLP) or a move into a lead role. The 25th-to-75th band, $80,820 to $134,070, is where the bulk of working data scientists in Arizona actually sit.

A few things are worth pulling out of that table. The entry-level $65,200 figure is well above what a typical Arizona worker earns, so even the bottom decile of this field is a strong starting wage by state standards. The mean of $111,950 sits between the median and the 75th percentile, which is the signature of a right-skewed pay distribution: a relatively small group of high earners drags the average up above the typical paycheck. That’s why the median, not the mean, is the honest number to quote when someone asks what a data scientist “makes” in Arizona.

For planning a career, treat the percentile bands as rough milestones rather than fixed rungs. Year one to two tends to land near the 10th to 25th percentile, $65,200 to $80,820. Three to six years of solid production experience moves most people through the median. The 75th percentile, $134,070, usually means you’ve either gone deep on a high-demand specialty or you’re carrying real scope, owning a model line end to end or mentoring a small team. The 90th percentile, $161,730, is staff, principal, and management territory. Each of those steps is a negotiation, and the BLS percentile figures are the cleanest evidence you can bring to one.

Data scientist salary by Arizona metro

Where you work inside Arizona matters more than people expect. Phoenix is where the jobs and the money are. Of the 4,560 data scientists employed statewide, 3,480 work in the Phoenix metro, and they earn a median well above everywhere else. The smaller markets pay less and hire in single or double digits. Here is the BLS (2025) breakdown for the five reported metros.

Phoenix pays a $114,540 median, which is $7,300 above the statewide figure and $30,890 more than Tucson, the second-largest hub by headcount. That premium reflects where the employers are: the Phoenix metro concentrates Arizona’s tech, fintech, healthcare-analytics, and semiconductor work. Tucson, despite the University of Arizona and a solid research base, runs a notably lower $83,650 median. If you’re flexible on location and chasing the top of the range, Phoenix is the obvious play. The smaller metros (Yuma, Flagstaff, Prescott) report only about 50 jobs each, so those medians come from thin samples and can swing year to year.

The concentration is the part worth sitting with. Phoenix holds 3,480 of Arizona’s 4,560 data-science jobs, just over 76% of the statewide total. Tucson is a distant second at 360. Everywhere else is rounding error. For a job seeker, that means the practical labor market for this role in Arizona is essentially the Phoenix metro, with Tucson as a secondary option. The depth in Phoenix is an asset: it gives you multiple potential employers within commuting distance, which is real bargaining power when you want to switch jobs for a raise without uprooting your life.

The smaller-metro figures cut against the usual assumption that rural areas always pay less. Yuma reports a $97,580 median and Flagstaff $95,080, both above Tucson’s $83,650. That’s almost certainly a small-sample effect rather than a genuine pay advantage, since each of those metros lists only about 50 data scientists. With samples that thin, a couple of well-paid roles can lift the reported median. Treat Phoenix and Tucson as the reliable signals and the rest as directional at best. If you get a remote offer benchmarked to one of the smaller metros, push to be paid against the Phoenix band instead.

Take-home pay after taxes in Arizona

Gross salary is the headline. Take-home is what hits your account. Arizona uses a flat 2.5% state income tax, so the state bite is small and predictable at every income level. Below is the estimated annual and monthly take-home across the experience range, after federal income tax, FICA (Social Security and Medicare), and Arizona state tax, for the 2026 tax year. Figures assume a single filer with the standard deduction.

At the median $107,240, a single filer keeps about $81,148 a year, or $6,762 a month, an effective combined tax rate near 24.3%. The Arizona portion of that is just $2,681. That flat 2.5% rate is the quiet advantage of working here.

Notice how the effective rate climbs with income, from 19.3% at the entry-level $65,200 to 27.5% at the senior $161,730. That’s federal progressivity at work, since FICA and Arizona’s flat state rate stay roughly proportional while federal brackets bite harder as you move up. The entry-level filer nets $52,624, about $4,385 a month. The senior data scientist at the 90th percentile nets $117,252, or $9,771 a month, more than double the entry take-home. The federal line is where most of the difference shows up: $5,958 at entry versus $28,062 at the top, while the Arizona state line only moves from $1,630 to $4,043 across that entire range. Low and flat is exactly what makes Arizona’s state tax easy to plan around.

To see how much that matters, compare it to a no-income-tax state. Take the same $107,240 salary and run it in Texas, which charges no state income tax. A Texas data scientist nets about $83,829 versus $81,148 in Arizona, a difference of $2,681. That gap is exactly the Arizona state tax line, and it’s the single most concrete way to see what the 2.5% rate costs you in real dollars. It’s small. For most people the lower cost of living and the abundance of Phoenix-area work outweigh that $2,681 difference many times over.

The number that actually decides your quality of life is net pay minus local housing. A $6,762 monthly take-home in Phoenix, where median rent and home prices run below the coastal metros, leaves far more room than the same paycheck would in San Francisco or Seattle. Before you compare offers across states, subtract housing from net pay, not from gross. Want your exact figure including your own deductions and filing status? Run it through the Arizona paycheck calculator, and if you’d rather model the full tax picture, TurboTax walks through state and federal together.

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How to earn more as a data scientist in Arizona

The data points to a clear path. Getting from the median to the 75th percentile is worth $26,830 a year, and reaching the 90th is worth $54,490 over the median. Both are large enough to change how you live. Here’s how people actually close that gap in this state.

• Get into Phoenix. The metro median is $114,540 against $107,240 statewide and $83,650 in Tucson. If you’re remote or relocatable, anchoring to a Phoenix-area employer is the fastest structural raise available.
• Specialize where pay concentrates. Machine-learning engineering, NLP, and causal inference sit at the top of the range. Generalist analysts cluster nearer the median. Pick a hard specialty and go deep.
• Move toward production ownership. The $54,490 jump from median to the 90th percentile is mostly about who ships models to production and owns the outcome, not who builds the most notebooks.
• Add a credential that signals depth. Cloud ML certs (AWS, Azure, GCP) and structured ML programs map directly to the higher-paying job postings. Coursera hosts the major cloud and ML specializations if you want to build one of those, browse data science and ML courses on Coursera to start.
• Compare data-scientist titles to engineering titles. Software developers in Arizona out-earn data scientists at the median (more on that below). Knowing the adjacent market gives you bargaining power when you negotiate.
• Negotiate against the right benchmark. Don’t anchor to the national median. Anchor to the Phoenix metro median of $114,540 and the 75th percentile of $134,070 when you’re experienced. Bring the BLS numbers to the table.

One more lever is filing-status and tax planning, which doesn’t change your gross but does change what you keep. Because Arizona’s rate is flat, the bigger swings in your take-home come from federal deductions, retirement contributions, and how you file. Maxing pre-tax retirement accounts is the cleanest way to lower the federal line that, as the take-home table shows, does the heavy lifting on your effective rate. A senior data scientist paying $28,062 in federal tax has far more room to reduce that bill than to reduce the $4,043 Arizona line. If you’re weighing a raise against the after-tax math, model it before you accept, the gap between two offers often looks different once federal brackets and benefits are in the picture.

Job outlook for data scientists in Arizona

Arizona employs 4,560 data scientists, with the Phoenix metro holding 3,480 of those roles, per BLS (2025). Data science is one of the faster-growing occupations nationally, and Phoenix’s expanding tech, semiconductor, and healthcare-analytics base is pulling demand in the same direction. The concentration is the headline here: more than three-quarters of the state’s data-science jobs sit in one metro, so the depth of the Phoenix market is what gives Arizona data scientists room to move between employers without relocating.

That depth cuts two ways. It means a healthy number of employers competing for talent, which supports the pay levels in the tables above, but it also means your local market is tightly tied to the health of Phoenix’s tech and semiconductor sector. Tucson’s 360 roles offer a smaller secondary market anchored by the university and the research economy around it. If you want to stay in Arizona long term, building skills that travel across the industries hiring in Phoenix, finance, healthcare, manufacturing analytics, and cloud infrastructure, is the safest hedge. When you’re ready to test the market, data scientist openings on ZipRecruiter are a reasonable place to gauge current Arizona demand and pay against the BLS figures here.

Related and higher-paying roles in Arizona

Data science doesn’t sit in isolation. Two adjacent tech roles in Arizona bracket it on pay, and both are worth knowing about whether you’re benchmarking your own salary or weighing a pivot. Using BLS (2025) Arizona medians:

• Software Developer: median $129,690, which is $22,450 MORE than a data scientist in Arizona. If you have strong engineering chops, the developer track pays a clear premium here.
• Computer Systems Analyst: median $103,530, which is $3,710 LESS than a data scientist in Arizona. Close to a lateral move on pay, with a different day-to-day focused on business systems rather than modeling.

Frequently asked questions

Sources: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (OEWS) 2025; federal and Arizona state tax parameters for the 2026 tax year. Last updated 2026. See our methodology.