Data Scientist Salary
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Data scientist postings advertised a median range of $128,000 to $194,000 in October 2026, in our US Job Postings Report: October 2026. That range is from the 1,127 postings that state pay, out of the 1,582 we read on US employers' career sites, or 71%. On work mode, 37% of data scientist postings that state a work mode are hybrid, the 7th highest of the 117 roles in this report, whose median is 12%. These are advertised ranges, which can differ from what people end up earning.
Salary by level: bottom, middle and top of the range
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| Level | Bottom | Middle | Top | Postings that state pay |
|---|---|---|---|---|
| Intern | $62k | $89k | $106k | 79 |
| Junior | - | - | - | - |
| Mid | $98k | $127k | $173k | 58 |
| Senior | $131k | $162k | $192k | 292 |
| Lead | $145k | $180k | $217k | 138 |
| Principal | $160k | $191k | $234k | 125 |
| Director | $190k | $226k | $270k | 108 |
| Executive | - | - | - | - |
71% of data scientist postings state pay, and the chart is of those. Each bar runs from the median bottom of the advertised range to its median top, and the gap marks the middle. A dash means we do not publish that figure this month. These are advertised ranges, which can differ from what people end up earning.
Salary by industry
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| Industry | Bottom | Middle | Top | Postings that state pay |
|---|---|---|---|---|
| Technology / IT | $145k | $177k | $205k | 310 |
| Healthcare | $143k | $177k | $210k | 227 |
| Finance & insurance | $131k | $166k | $190k | 157 |
| Manufacturing & industry | $113k | $146k | $179k | 105 |
By the sector of the employer's main industry, of postings that state pay, highest middle first. A sector with fewer than 100 such postings, or where one employer holds over 30% of them, is left out. Industry is read by our AI. Checked on 500 random postings, it was about 90% right.
Among postings that state pay, the middle of the advertised range is $162,000 at senior level, $180,000 at lead level, and $191,000 at principal level.
Skills named in postings
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| Skill | Share of postings |
|---|---|
| Python | 76% |
| SQL | 58% |
| Machine learning | 47% |
| R (programming) | 41% |
| Data visualization | 26% |
| Statistics | 18% |
| Statistical analysis | 17% |
| Statistical modeling | 16% |
| Predictive modeling | 16% |
| Data analysis | 15% |
| AWS | 14% |
| Tableau | 14% |
| SAS | 12% |
| Causal inference | 12% |
| Databricks | 12% |
Salary by skill named in postings
| Causal inference | $190k | $160k | +$30k | +$27k |
|---|---|---|---|---|
| Machine learning | $162k | $162k | $0k | $0k |
| AWS | $163k | $162k | +$1k | $0k |
| Statistical analysis | $161k | $162k | −$1k | −$5k |
| Predictive modeling | $157k | $163k | −$6k | −$6k |
| Tableau | $148k | $162k | −$14k | −$6k |
| Data visualization | $140k | $170k | −$30k | −$8k |
| R (programming) | $159k | $165k | −$6k | −$9k |
| Statistical modeling | $160k | $162k | −$3k | −$10k |
| Python | $162k | $177k | −$15k | −$14k |
| SQL | $162k | $164k | −$2k | −$14k |
| Statistics | $161k | $162k | −$1k | - |
| Data analysis | $137k | $166k | −$30k | - |
| SAS | $154k | $162k | −$8k | - |
| Databricks | $160k | $162k | −$2k | - |
The middle of the advertised range for postings that name each skill and for those that do not, of 1,128 postings that state pay. Senior postings name different skills from junior ones, so the plain difference partly measures seniority. “At the same level” compares postings of one level at a time and weighs the levels by the postings naming the skill; it stands on the postings whose title gives a level, which is a minority, and is a dash where no level has 50 postings on each side. A skill with fewer than 100 postings on either side, or where one employer holds over 30% of them, is left out.
Python appears in 76% of postings, SQL in 58%, and machine learning in 47%.
Also in postings this month
Remote, hybrid or onsite
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| Work mode | Share of postings |
|---|---|
| Hybrid | 37% |
| Remote | 33% |
| Onsite | 30% |
61% of data scientist postings state a work mode, and the chart is of those.
Education
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| Education | Share of postings |
|---|---|
| Bachelor's degree | 65% |
| Master's degree | 27% |
| Doctorate | 4% |
| Secondary school | 2% |
| Vocational training | 1% |
| No formal education | 0% |
76% of data scientist postings state education, and the chart is of those.
Who hires
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| Industry | Share of postings |
|---|---|
| Technology / IT | 31% |
| Healthcare | 20% |
| Finance & insurance | 14% |
| Professional services | - |
| Manufacturing & industry | 9% |
| Media & entertainment | 3% |
| Education | 2% |
| Retail & consumer goods | 2% |
| Hospitality, travel & leisure | 1% |
| Construction & real estate | 1% |
| Energy, utilities & mining | 1% |
Every sector with at least 1% of the 1,538 data scientist postings that name an industry, by the sector of the employer's main industry. A dash is a sector where one employer holds over 30% of its postings. Industry is read by our AI. Checked on 500 random postings, it was about 90% right.
Using these figures
Senior level postings ask for 5 years of minimum experience, lead for 6 years, and principal for 7 years. Use those figures to place a posting at the right level, then bring that level's advertised range, from postings that state pay, as the reference when you are asked for expectations or weigh an offer: $131,000 to $192,000 at senior or $145,000 to $217,000 at lead.
Python appears in 76% of data scientist postings; list it on your resume if it is part of your work. Full resumes for this role are at data scientist resume examples.
Compare every role in the US Job Postings Report: October 2026.
From 1,582 data scientist postings at 624 employers' career sites we crawl, first seen October 1 to 31, 2026, in the United States. This is not all US jobs: we read employers with an online career site, which leans toward tech and toward mid-size and large companies, and we keep adding employers. So a posting count is only a sample size. Role, level, work mode and education are read from each posting by our AI and were checked against the postings on a sample of 1,049: role 96% right, level 94%, work mode 85%, education 98%, years 99%. Skills are read the same way and have had a lighter check: a second model, on 108 postings, found 96% named in the posting and 87% really skills. Visa sponsorship is read the same way and was checked against the postings: 129 of 150 that our AI counted as sponsoring say so, and most of the others only accept people who already hold a visa. Of 3,350 postings it did not count that mention a visa, 3 say they sponsor. So the visa shares run a little high.
