Texas, United States · 2026
Data Scientist Salary in Texas
Based on 92 national salary reports · All figures in USD
What does a Data Scientist earn in Texas?
The average Data Scientist salary in Texas is $160,826 per year. This is based on 92 reported salaries across United States. Most people in this role earn between $138,175 and $163,175. The highest paid professionals earn up to $250,300.
Pay in Texas varies depending on the size of the company, your experience level, and what you specialise in. Larger companies tend to pay more than smaller ones. Professionals who take on more responsibility and show clear results move up the pay scale faster.
Most Data Scientist roles are office based or hybrid. Only 6% are fully remote nationally.
Salary statistics
| Salary type | Annual pay (USD) |
|---|---|
| Average salary | $160,826 |
| Median salary | $148,175 |
| Lowest reported | $90,210 |
| Highest reported | $250,300 |
Based on 92 salary reports across United States. The median gives a more accurate picture of typical pay because it is not skewed by outliers.
Pay by experience level
How this role compares to similar jobs in Texas
| Job title | Average salary | Difference |
|---|---|---|
| Security Engineer | $165,686 | +3% |
| Security Analyst | $116,350 | -27% |
| Manager | $169,928 | +5% |
| Software Engineer | $169,444 | +5% |
| Security Architect | $177,215 | +10% |
How to earn more as a Data Scientist in Texas
The biggest jump in pay usually comes when you move from mid level to senior. Getting there faster means taking on bigger projects and showing you can work without being told what to do.
Specialising in tools or areas that are hard to find helps too. If you are the only person on a team who knows a specific platform well, you have more leverage in salary talks.
Before any negotiation, use the figures above for your experience level. Come to the conversation with specific examples of what you have delivered. Avoid using your current salary as the starting point.
Do not forget to look beyond base salary. Bonuses, extra leave, remote working, and training budgets can add up to a lot over the course of a year.