Data Scientists in Texas
May 2025 wages · tax year 2026
You keep
$94,715
after federal, FICA and Texas tax
Tax takes
$27,375
22.4% of the whole
Worth, in national money
$97,468
Texas costs less than average
On that salary you would be around the 25th percentile for this work in Texas — roughly, since only five points along the band are published.
One filer, standard deduction, no dependants and nothing paid in before tax — the same household the rest of this page uses, so the comparison holds. City and school-district income taxes are not included.
Median here
$122,090
Kept after tax
$94,715
Worth in national money
$97,468
State rank
13
of 49 states
What this pays, and what it is worth
- Texas is one of the better-paying states for data scientists. The middle earner takes $122,090, which ranks 13 of 49 states with published figures. That is about 1.55% above the national middle.
- This is one of the better-paid jobs in Texas. It ranks 37 out of 493 occupations the state publishes figures for, which puts it in the top quarter locally.
- Prices here sit close to the national average, so the adjustment changes little. From $122,090 the take-home is $94,715, which is worth about $97,468 in comparable money. Tax does most of the work here, not cost of living. The average is lower, $119,710, so pay clusters nearer the top than usual.
- Texas ranks 13 of 49 states publishing a median for data scientists, at $122,090 — about 1.55% above the national median. A state's position on nominal pay is the figure wage tables report and the least informative of the three on this page, because it survives neither the tax adjustment nor the price adjustment intact for most occupations.
- Within Texas, data scientists ranks 37 of 493 occupations by median pay, placing it in the top quartile of the local distribution. This is the comparison a resident actually makes — against neighbors rather than against the same job elsewhere.
- Texas's price level is near the national average, so price deflation is close to neutral for data scientists on its $122,090 median: $94,715 retained after tax becomes $97,468 in national-average terms. Where the price adjustment is small, the tax stack is the dominant determinant of the real outcome. The mean of $119,710 falls below the median, a left skew that is uncommon in wage data.
Compare this career across states
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Pay band: Data Scientists
The state median for this job
| Lowest tenth earn under | $64,540 |
|---|---|
| Half earn under | $122,090 |
| Top tenth earn over | $170,780 |
| This salary | $122,090 |
Positions between the published tenth, quarter, half, three-quarter and ninetieth points are estimated by straight line.
The same pay, somewhere else
The state median for this job
| Take-home in Texas | $94,715 |
|---|---|
| Take-home in Florida | $94,715 |
| Once local prices are leveledBEA price parity | −$5,914 |
The raise and the real gain point in opposite directions here.
State income tax and state price levels only. No city income tax, and no housing market.
What you would need there
The state median for this job
| To match take-home only | $122,090 |
|---|---|
| Raise you would need | +$8,951 |
| Prices in Florida | 103 vs 97 |
State taxes and state price levels only. No city tax, and no housing market.
Sources and assumptions
- A median is the middle, not an offer. Half of data scientists in Texas earn under $122,090 and half over. The published range runs $64,540 at the tenth percentile to $170,780 at the ninetieth. Experience and employer move an individual a long way inside that.
- One filer, no dependants, no pension contributions — that is the household behind Texas's $94,715, worked from $122,090. That is on purpose. It lets states be compared with each other, not with each other's family circumstances. Local city taxes are left out. Locally this work ranks 37 of 493.
- Two cautions on $97,468, the adjusted value of that $122,090 median. It levels out prices with a single number for all of Texas. No actual address matches that. The wage figures and price figures are also from different years. Each is published on its own timetable. This work sits at 37 of 493 locally.
- Figures are distribution medians for data scientists in Texas, not entry or offer rates. The published band runs $64,540 to $170,780; within-state dispersion of that width routinely exceeds the dispersion between states, so tenure, employer and metropolitan area predict an individual's pay better than geography does.
- The Texas take-home of $94,715, on $122,090 for work ranking 37 of 493 locally, models the simplest household deliberately: holding it constant is what makes the interstate comparison meaningful. It also means the absolute figure overstates liability for most real filers, and municipal income taxes are outside the model entirely. The occupation ranks 37 of 493 in the state.
- This $97,468 adjusted figure, worked from $122,090, rests on a state-level price parity averaging over within-state dispersion larger than much of the between-state dispersion. Wage and price vintages differ by publication schedule. The result is directionally sound and not address-specific, for work at 37 of 493 in the state. The occupation ranks 37 of 493 locally.
Questions people ask
Why is the pay range for this job so wide?
One title, many jobs. The lowest tenth take $64,540, the highest tenth $170,780, and what separates them is experience, employer and what exactly the role does.
What does this pay actually buy where I live?
More than the figure suggests. Prices in Texas sit below the national level, so take-home here stretches like $97,468 would elsewhere. The wage is the same; the ground it covers is larger.
Is most of this wage taxed away?
Less than people assume. $94,715 of this wage reaches your account, because Texas takes no income tax from wages — but federal tax, Social Security and Medicare still apply exactly as they do everywhere else.
Why is this job missing from some states?
A blank is a suppression, not a zero. 49 states have a published figure for this work; the others had too few responses to release one.
What drives the percentile dispersion in this occupation?
Dispersion between the tenth percentile ($64,540) and the ninetieth ($170,780) exceeds the family median dispersion. SOC codes aggregate roles differing in seniority, industry and specialisation, and BLS does not disaggregate below the detailed occupation level, so within-title variance is not separable from the published series.
What is this occupation's price-adjusted compensation in this state?
Texas's regional price parity is at or below the national average, so nominal wages understate purchasing power. Take-home deflated by the state price level is $97,468 in national-average terms. The adjustment uses an all-items index and does not isolate housing.
Why is the take-home ratio comparatively high in this state?
Texas levies no personal income tax on wages, so take-home of $94,715 reflects the federal layer and FICA alone. Federal income tax and FICA are unchanged; states without a wage income tax generally recover revenue through consumption and property bases instead.
Why does this occupation lack published estimates in every state?
BLS suppresses estimates failing disclosure or reliability criteria. This occupation has published state-level estimates in 49 of the fifty-one jurisdictions. Suppression reflects sample size and confidentiality rules, and cannot be read as an absence of employment.