Pay
In line with similar jobs
$117K–$166K against $118K–$195K, the middle half of what similar US postings state.
From 3,817 postings in the last year. Stated ranges, not salaries paid.
Boulder, CO
Live, first seen by us 29 days ago**About the job** The US base salary range for this full-time position is $117,000 - $166,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more aboutbenefits at Google. (https://www.google.com/about/careers/applications/benefits/) Position reports to the Google office & may allow for a hybrid schedule as per Google policy.Read the full posting
Extract, compile, and validate data from multiple sources using SQL, Python, or R
Turn business goals into analysis, evaluation metrics, and statistical models
Analyze datasets to find product gaps and share insights with engineering and product
Build dashboards and defined metrics to automate reporting and track deployments
Write production-ready solution code and document repeatable solutions
Extract, compile, and validate data across multiple sources using SQL, Python, or R
translate complex business goals and organizational context into tractable analysis, evaluation metrics, and statistical models
Analyze datasets to identify product gaps, formulate conclusions, and communicate actionable insights to internal teams like engineering and product management
Create dashboards, tools, and defined metrics to automate reporting workflows
Write and integrate production-ready solution code to resolve technical issues
**Minimum qualifications:** + Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics or a related field and 1 year of experience in the job offered or in a Business Marketing Data Scientist-related occupation. + Position requires 1 year of experience in the following: Structured programming with Python or R for data manipulation; Database querying using SQL; Statistical analysis and algorithm execution using software applications; Data extraction, manipulation, and cleaning for exploratory data analysis or extraction and manipulation of large datasets exceeding computer memory; and Explanation of statistical concepts to non-quantitative audiences.
We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$117K–$166K against $118K–$195K, the middle half of what similar US postings state.
From 3,817 postings in the last year. Stated ranges, not salaries paid.
Day 29
Similar jobs usually come down between day 8 and day 59.
Well past Google’s usual: its jobs come down by about day 3.
From 11,414 similar postings that came down, and 484 of Google’s. Coming down is not always a hire.
233 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
+ Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics or a related field and 1 year of experience in the job offered or in a Business Marketing Data Scientist-related occupation. + Position requires 1 year of experience in the following: Structured programming with Python or R for data manipulation; Database querying using SQL; Statistical analysis and algorithm execution using software applications; Data extraction, manipulation, and cleaning for exploratory data analysis or extraction and manipulation of large datasets exceeding computer memory; and Explanation of statistical concepts to non-quantitative audiences. **About the job**
**Responsibilities** + Extract, compile, and validate data across multiple sources using SQL, Python, or R while adhering to rigorous privacy and quality standards. + Collaborate with stakeholders to translate complex business goals and organizational context into tractable analysis, evaluation metrics, and statistical models.
Complete your application on www.google.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
**About the job** The US base salary range for this full-time position is $117,000 - $166,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more aboutbenefits at Google. (https://www.google.com/about/careers/applications/benefits/) Position reports to the Google office & may allow for a hybrid schedule as per Google policy.
Boulder, CO
The US base salary range for this full-time position is $117,000 - $166,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more aboutbenefits at Google. (https://www.google.com/about/careers/applications/benefits/) Position reports to the Google office & may allow for a hybrid schedule as per Google policy. The Global Business Organization (GBO) is the engine that powers Google’s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners.
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