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Business and Marketing Data Scientist

Pay
$117,000–166,000/year · BaseAnnual period assumed — pay source
**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.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

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

From the employer’s posting
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
Education & alternatives
**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.
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Posting record

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Status in our records
Live
First seen by us
Oct 13, 202629 days ago
Recorded sightings
11
Last seen by us
Nov 10, 2026

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.

How this job compares

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.

Time since we first saw it

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.

Google is hiring

233 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down quickly
  • 7% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • R
  • SQL
Where the posting names them
+ 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.

Your next step

Complete your application on www.google.com. The employer’s form will show what is required.

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About Google

People
About 190,820 in 2025, up 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as GOOGL.
H-1B visas
1,765 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,126.
August 17Last week

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.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

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Business and Marketing Data Scientist Share Business and Marketing Data Scientist _corporate_fare_ Google _place_ Boulder, CO, USA **Early** Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes. Share Business and Marketing Data Scientist _info_outline_ XThe application window will be open until at least October 26, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. **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. **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. 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. **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. + 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, inform product decisions, and track solution deployments. + Write and integrate production-ready solution code to resolve technical issues, validate new features, and optimize existing systems. Scale repeatable solutions through comprehensive documentation, best practice guides, tutorials, and ongoing cross-functional implementation support. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
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Pay
**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.
Location & working pattern

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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