Data Science Startup Salary
$23.5K - $40.5K
13% of jobs
$56.9K is the 25th percentile. Wages below this are outliers.
$40.5K - $57.5K
13% of jobs
$57.5K - $74.5K
8% of jobs
$74.5K - $91.5K
8% of jobs
The median wage is $107.3K / yr.
$91.5K - $108.5K
9% of jobs
$108.5K - $125.5K
10% of jobs
$125.5K - $142.5K
9% of jobs
$151.5K is the 75th percentile. Wages above this are outliers.
$142.5K - $159.5K
10% of jobs
$159.5K - $176.5K
9% of jobs
$176.5K - $193.5K
7% of jobs
$193.5K - $210.5K
4% of jobs
$23.5K
$110.5K
$210.5K
$112,882
/year
$54.27
/hour
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How much does a Data Science Startup make?
As of Aug 10, 2026, the average annual pay for a Data Science Startup in the United States is $112,882 a year.
Just in case you need a simple salary calculator, that works out to be approximately $54.27 an hour. This is the equivalent of $2,170/week or $9,406/month.
While ZipRecruiter is seeing annual salaries as high as $210,500 and as low as $23,500, the majority of Data Science Startup salaries currently range between $57,500 (25th percentile) to $157,000 (75th percentile) with top earners (90th percentile) making $188,500 annually across the United States. The average pay range for a Data Science Startup varies greatly (by as much as 99500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A Data Science Startup in your area makes on average $0 per year, or $112,882 (100.000%) less than the national average annual salary of $112,882. Ohio ranks number 36 out of 50 states nationwide for Data Science Startup salaries.
To estimate the most accurate annual salary range for Data Science Startup jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Data Science Startup on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Data Science Startup Jobs
We've identified 10 cities where the typical salary for a Data Science Startup job is above the national average. Topping the list is Green River, WY, , with San Mateo, CA, and San Francisco, CA, close behind in the second and third positions. San Francisco, CA, beats the national average by $16,996 (15.1%), and Green River, WY, furthers that trend with another $22,412 (19.9%) above the $112,882 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Data Science Startup appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 8% between Green River, WY, and Richmond, CA, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a Data Science Startup role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Green River, WY | $135,294 | $65.05 |
San Mateo, CA | $130,107 | $62.55 |
San Francisco, CA | $129,878 | $62.44 |
Sunnyvale, CA | $128,749 | $61.90 |
Santa Clara, CA | $128,168 | $61.62 |
Fremont, CA | $127,790 | $61.44 |
Daly City, CA | $126,710 | $60.92 |
Santa Rosa, CA | $125,671 | $60.42 |
Livermore, CA | $125,435 | $60.31 |
Richmond, CA | $124,187 | $59.71 |
What are Top 5 Best Paying Related Data Science Startup Jobs in the U.S.
We found a few related jobs that pay more than jobs in the Data Science Startup category.
For example Data Engineer Architect jobs pay as much as $52,136 (46.2%) more than the average Data Science Startup salary of $112,882. If you're qualified, finding work as a Data Engineer Architect may help you make more money than that of the average Data Science Startup position.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Data Engineer Architect | $165,018 | $79.34 |
Python | $121,932 | $58.62 |
Bachelor Degree In Computer Science | $102,500 | $49.28 |
Geospatial Data Engineer | $96,989 | $46.63 |
Azure Data Analyst | $82,640 | $39.73 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
