How far data scientist pay stretches in Dallas — $65,200 to $173,000
Data scientist pay in Dallas, TX is a ladder, not a point: $65,200 at the 10th percentile versus $173,000 at the 90th, around a $128,000 median. Seniority, setting, and specialty explain more of that spread than the city’s average wage.
Data scientists turn raw data into insight using statistics, machine learning, and clear communication. In Dallas, TX the title is noisy: some “data scientist” seats are analyst work paid near $128,000, while production ML seats push toward $128,000. The $128,000 median is the blended market, not a single job family. Employers screening data scientists in Dallas, TX still list Python, SQL, Statistics, and Machine learning as core. The local band runs from about $65,200 at the 10th percentile to $173,000 at the 90th.
The percentiles on this page are observed metro figures for Data Scientist in Dallas, TX, not a national median multiplied by a pay index. That matters: you are looking at how this labour market actually priced the role, including local industry mix. They are still estimates of the market — not a promise of what one employer will offer.
Among the 9 United States metros we can compare for this role, Dallas ranks 4 by median. Washington DC leads this comparison at $174,000 (+36% vs Dallas), while San Antonio sits at $106,000. Use those gaps to test a relocation thesis: a 15% cash raise that lands in a much more expensive metro can disappear in rent.
Dallas’s COL index (100) sits nearer the global baseline, so headline and adjusted pay are not far apart ($128,000 vs $128,000). Rent still matters: the 1-bedroom model is $1,650 / month, about 18% of take-home, with leftover near $5,540.
If you are comparing a Dallas office offer with a location-flexible one, the United States national median for this role is about $121,000. Local pay is 6% higher — a $7,000 gap. Remote employers often anchor to the national figure; on-site employers in Dallas are anchoring to this page.
World Bank consumer-price inflation for United States was about 2.9% in 2024; an illustrative model tied to inflation and the occupation’s outlook suggests pay has risen about 28% over the last few years. H-1B / employment-based green card is the usual skilled-hire route (selective for typical hires): Most skilled foreign hires enter via employer-sponsored H-1B (lottery-capped) or specialty routes; permanent residence usually follows an employment-based petition. At 1.4× United States GDP per capita, this median is around a typical national living standard. Unemployment was about 4.2% in 2025. None of that is tax, immigration, or career advice — run the calculators and confirm rules officially.
How to read a data scientist offer in Dallas
Start with gross cash, not the recruiting headline. If an offer lands near $128,000, you are in the lower half of this metro’s observed distribution; near $128,000 you are already paid like a stronger local hire. Then subtract a realistic tax path (simplified national effective rate here is about 15%, leaving $108,546 a year) and a housing number you would actually accept — not only the $1,650 model.
Because the 90th percentile is about 2.7× the 10th, two data scientist jobs in Dallas can be different careers that share a title. Ask what sits in the package (bonus, overtime, equity, on-call) before you treat $128,000 as a fair target.
Demand and the data scientist pipeline
Occupation-level employment for data scientists is projected at about +35% over ten years. That is a national sketch of demand, not a forecast that Dallas will hire at that rate. Local openings still follow Dallas’s industry mix — hospitals, studios, public employers, or product companies — which is already baked into the observed percentiles more than into the outlook percentage.