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Data Scientist

Pay
$138,000–198,000/year · BaseAnnual period assumed — pay source
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $138,000 - $198,000 + 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
  • Gather and compile data from many sources with SQL, R, or Python, keeping quality high

  • Analyze complex datasets and design statistical models, building prototypes for insights

  • Define key business questions and build an analytical roadmap with stakeholders

  • Turn analytical findings into recommendations that shape product and business strategy

  • Present KPIs and analysis results in business reviews and to cross-functional leadership

From the employer’s posting
gathering, extracting, and compiling data from various sources using tools like SQL, R, or Python while ensuring data quality and security
Conduct in-depth analysis and design statistical models to interpret complex datasets
Collaborate with stakeholders to define and refine key business questions, developing an analytical roadmap
Translate complex analytical findings into actionable insights and strategic recommendations
Present key performance indicators and analytical results to support business reviews
Education & alternatives
**Minimum qualifications:** + Bachelor’s degree in Statistics, Computer Science, Mathematics, or a related field and 2 years of experience in the job offered or in a Data Scientist-related occupation. + Position requires 2 years of experience in the following: SQL for data extraction and manipulation; Data pipeline creation for data engineering; Python or R for statistical analysis and problem-solving; Applying statistical methods including t-tests and descriptive statistics; and Performing root cause analysis using quantitative methods.
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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

$138K–$198K 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
  • GCP
Where the posting names them
+ Bachelor’s degree in Statistics, Computer Science, Mathematics, or a related field and 2 years of experience in the job offered or in a Data Scientist-related occupation. + Position requires 2 years of experience in the following: SQL for data extraction and manipulation; Data pipeline creation for data engineering; Python or R for statistical analysis and problem-solving; Applying statistical methods including t-tests and descriptive statistics; and Performing root cause analysis using quantitative methods. **About the job**
**Responsibilities** + Manage the end-to-end data lifecycle by gathering, extracting, and compiling data from various sources using tools like SQL, R, or Python while ensuring data quality and security. + Conduct in-depth analysis and design statistical models to interpret complex datasets, formulate conclusions, and iteratively build prototypes that provide insights at scale.
**About the job** Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $138,000 - $198,000 + 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/) .

Your next step

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

Already applied? Track this application

Has Google posted this job before?

Yes. We’ve followed 2 other Data Scientist jobs there since September 2026. All 2 are still up.

  1. San BrunoStill up after 68 days, first seen Sep 4
  2. San BrunoStill up after 29 days, first seen Oct 13
  3. This jobUp 29 days so far, first seen Oct 13

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

View original posting ↗

Data Scientist Share Data Scientist _corporate_fare_ Google _place_ New York, NY, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Share Data Scientist **Minimum qualifications:** + Bachelor’s degree in Statistics, Computer Science, Mathematics, or a related field and 2 years of experience in the job offered or in a Data Scientist-related occupation. + Position requires 2 years of experience in the following: SQL for data extraction and manipulation; Data pipeline creation for data engineering; Python or R for statistical analysis and problem-solving; Applying statistical methods including t-tests and descriptive statistics; and Performing root cause analysis using quantitative methods. **About the job** Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $138,000 - $198,000 + 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. **Responsibilities** + Manage the end-to-end data lifecycle by gathering, extracting, and compiling data from various sources using tools like SQL, R, or Python while ensuring data quality and security. + Conduct in-depth analysis and design statistical models to interpret complex datasets, formulate conclusions, and iteratively build prototypes that provide insights at scale. + Collaborate with stakeholders to define and refine key business questions, developing an analytical roadmap and methodology to address product or business challenges effectively. + Translate complex analytical findings into actionable insights and strategic recommendations to influence product development decisions and long-term business strategy. + Present key performance indicators and analytical results to support business reviews and communicate opportunities to cross-functional leadership teams. Develop comprehensive knowledge of internal data structures and advocate for infrastructure improvements to enhance data quality and processing capabilities for future analyses. 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
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $138,000 - $198,000 + 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

New York, NY

The US base salary range for this full-time position is $138,000 - $198,000 + 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. **Responsibilities**
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