Data Scientist Salary
The median pay for a data scientists in Arizona is $107,240/year ($51.56/hour), per BLS data. The range runs from $65K at the entry level to $162K for experienced workers. Adjusted for local prices (RPP 96.41), that's roughly $111,233 in purchasing power. Rent on a 2-bedroom averages $1,437/month, or 20.8% of estimated take-home pay.
Statewide average. Salary and cost of living vary significantly across Arizona. Jump to a metro for precise data:
Where the paycheck goes
What $107K actually covers in Arizona, month by month
About data scientists
Sponsored links, AffordMap may earn a commission at no cost to you. Learn more
What this looks like in Arizona
Pay for data scientists in Arizona runs about 11% below the U.S. median of $120K. Housing is manageable: a 2-bedroom at the HUD median costs $1,437/month, 21.3% of take-home, well inside the 30% guideline. Cost of living (RPP 96.41) is near the national average, so spending patterns here track the typical American budget fairly closely. Lower pay, lower costs, Arizona can be a reasonable trade-off for data scientists who value affordability over top-dollar markets.
Compensation breakdown
Annual earnings by percentile, Arizona
Entry-level data scientists (10th percentile) start around $65K. Mid-career wages sit at $107K. Top earners bring in $162K or more, a $97K spread from bottom to top.
Data Scientists salary by metro in Arizona
6 metro areas with BLS data, ranked by median pay
| Metro area | Median salary | vs. state | Employment |
|---|---|---|---|
| Phoenix-Mesa-Chandler | $115K | +7% | 3,480 |
| Sierra Vista-Douglas | $103K | -4% | 40 |
| Yuma | $98K | -9% | 50 |
| Flagstaff | $95K | -11% | 50 |
| Tucson | $84K | -22% | 360 |
| Prescott Valley-Prescott | $80K | -25% | 50 |
Compare to other states
Track data scientists salary changes
BLS updates this data annually. We'll email you when Arizona numbers change.
Related careers in Technology
Quick answers
The stuff people actually ask about this job
Can a data scientist afford a 2BR apartment alone in Arizona?
Yes — at the median salary of $107K, rent takes 21.3% of take-home pay. A 2-bedroom at the HUD Fair Market Rent runs $1,437/month. That stays under the 30% guideline most financial planners use.
What’s the entry-level salary for data scientists in Arizona?
The 10th-percentile wage — what new data scientists typically earn — is $65K/year. Take-home on that works out to about $4,385/month. At HUD’s $1,437/month FMR, rent would take 33% of that take-home — above the 30% guideline, so a 1-bedroom or shared housing is likely necessary starting out.
Is data scientist a high-paying job in Arizona?
Local pay runs 11% below the national median — $107K here vs. $120K nationally.
How does Arizona compare to the national average for data scientists?
Arizona pays $107K median vs. the U.S. average of $120K — that’s -11%. After adjusting for local cost of living (RPP 96.41), the purchasing-power equivalent is $111K — below the national median.
How much do data scientists make in Arizona?
The median is $107,240 a year, that works out to about $52 an hour. But the range is wide: entry-level workers start around $65,200, and experienced data scientists can clear $161,730. These are BLS numbers, based on employer-reported data, not self-reported surveys.
Is $107K enough to live in Arizona?
On that salary, you'd take home roughly $6,762/month after taxes. A 2-bedroom here rents for about $1,437/month, which eats 21.3% of your paycheck. That's under the 30% guideline most financial planners use, so the numbers work.
How far does a data scientists salary go in Arizona?
Arizona has a Regional Price Parity of 96.41 (100 is the national average). That's below average, your money stretches further here than the raw salary number suggests. After cost-of-living adjustment, the median data scientists salary is worth about $111,233 in national-average purchasing power.
Where do data scientists get paid the most?
The table above ranks every state by median pay for this role. Keep in mind that the highest-paying states tend to have the highest costs of living, so the top salary doesn't always mean the most money in your pocket.