Amazon Data Science

Amazon Data Science Salary

$46K

$165K

$243.5K

$165,018

/year

$79.34

/hour

Amazon Data Science Salary Comparison by Location

Nationwide

United States

$165,018

Columbus

Ohio

$159,391

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    How much does an Amazon Data Science make?

    As of Jul 17, 2026, the average annual pay for an Amazon Data Science in the United States is $165,018 a year.

    Just in case you need a simple salary calculator, that works out to be approximately $79.34 an hour. This is the equivalent of $3,173/week or $13,751/month.

    While ZipRecruiter is seeing annual salaries as high as $243,500 and as low as $46,000, the majority of Amazon Data Science salaries currently range between $133,500 (25th percentile) to $170,000 (75th percentile) with top earners (90th percentile) making $243,000 annually across the United States. The average pay range for an Amazon Data Science varies little (about 36500), which suggests that regardless of location, there are not many opportunities for increased pay or advancement, even with several years of experience.

    An Amazon Data Science in your area makes on average $159,391 per year, or $5,627 (3.410%) less than the national average annual salary of $165,018. Ohio ranks number 31 out of 50 states nationwide for Amazon Data Science salaries.

    To estimate the most accurate annual salary range for Amazon Data Science jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.

    Find your next high paying job as an Amazon Data Science on ZipRecruiter today.

    What are Top 10 Highest Paying Cities for Amazon Data Science Jobs

    We've identified 10 cities where the typical salary for an Amazon Data Science job is above the national average. Topping the list is Nome, AK, , with Cupertino, CA, and Berkeley, CA, close behind in the second and third positions. Berkeley, CA, beats the national average by $37,037 (22.4%), and Nome, AK, furthers that trend with another $39,686 (24.0%) above the $165,018 average.

    With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as an Amazon Data Science appears to be exceedingly fruitful.

    Finally, another factor to consider is the average salary for these top 10 cities varies very little at 5% between Nome, AK, and San Jose, 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 an Amazon Data Science role.

    City

    Annual Salary

    Hourly Wage

    Nome, AK

    $204,704

    $98.42

    Cupertino, CA

    $203,590

    $97.88

    Berkeley, CA

    $202,055

    $97.14

    Sitka, AK

    $198,794

    $95.57

    Sunnyvale, CA

    $196,324

    $94.39

    Palo Alto, CA

    $194,472

    $93.50

    San Francisco, CA

    $194,420

    $93.47

    Santa Clara, CA

    $193,803

    $93.17

    Livermore, CA

    $193,564

    $93.06

    San Jose, CA

    $193,400

    $92.98

    What are Top 5 Best Paying Related Amazon Data Science Jobs in the U.S.

    Analyzing some similar jobs related to the Amazon Data Science job category, we found that Work From Home Data Scientist jobs have average salaries similar than Amazon Data Science jobs.

    Job Title

    Annual Salary

    Hourly Wage

    Work From Home Data Scientist

    $165,018

    $79.34

    Remote Environmental Scientist

    $84,123

    $40.44

    Decision Science

    $75,624

    $36.36

    Statistical Data Analyst

    $70,450

    $33.87

    Phd Library Science

    $32,732

    $15.74

    About Our Data

    ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.

    Infographic detailing Amazon Data Science salary across the United States as of July 2026. Displays a bar chart with salary percentiles, a national average salary of $165,018 per year or $79.34 an hour, and a color-coded map showing state-by-state salary variations.