USD 207,000–300,000/yearAnnual period assumed — pay source
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
10,916 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
Build and prototype analysis pipelines to deliver insights at scale
Solve difficult, non-routine analysis problems on large, complex data sets
Work with engineers to design and assess improvements to Google products
Present findings and business recommendations to multiple stakeholder levels
Research forecasting and optimization methods for user-facing products
From the employer’s posting
Build and prototype analysis pipelines iteratively to provide insights at scale
Work with large, complex data sets; solve difficult, non-routine analysis problems
Work closely with engineers to identify opportunities for, design and assess improvements to Google products
Make business recommendations with effective presentations of findings at multiple levels of stakeholders
Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user-facing products
Education & alternatives
**Minimum qualifications:**
+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field.
+ 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field.
+ 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
**Preferred qualifications:**
**Preferred qualifications:**
+ 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
+ Experience with strategic analysis, metric reporting and executive presentations.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
Status in our records
Live
First seen by us
Nov 14, 2026today
Recorded sightings
1
Nov 14, 2026today
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
Higher than most similar jobs
$118K$195K
$207K–$300K against $118K–$195K, the middle half of what similar US postings state.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Time since we first saw it
Day 0
860
Early. Similar jobs usually come down between day 8 and day 60.
At Google, jobs usually come down by about day 3.
From 11,873 similar postings that came down, and 505 of Google’s. Coming down is not always a hire.
Google is hiring
256 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.
Python
R
SQL
Where the posting names them
+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field.
+ 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
**Preferred qualifications:**
**Preferred qualifications:**
+ 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
+ Experience with strategic analysis, metric reporting and executive presentations.
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 4% over the last 6 weeks compared with the 6 before.
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.
Staff Research Data Scientist, Discover Experience
Share Staff Research Data Scientist, Discover Experience
_corporate_fare_ Google _place_ Mountain View, CA, USA
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Share Staff Research Data Scientist, Discover Experience
**Minimum qualifications:**
+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field.
+ 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
**Preferred qualifications:**
+ 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
+ Experience with strategic analysis, metric reporting and executive presentations.
+ Experience with statistical modeling, survey design, data analysis and effective experimental design.
+ Ability to complete project work separately and work with cross-functional teams in a dynamic, fast-moving environment.
+ Ability to apply statistical training to real-world data.
+ Excellent communication skills with the ability to extract insights from data and telling convincing stories.
**About the job**
From the beginning, Google's mission has been to organize the world’s information and make it universally accessible and useful, and we consider it a privilege to be able to help. As technology continues to evolve, our commitment remains to help users in their journey to connect to helpful information more easily, leveraging technology to find new ways to satisfy users’ information needs.
Discover is a personalized feed that provides users with relevant and meaningful information based on their interests and our understanding of the world’s information, and is part of the broader Search organization at Google. Today, Discover is one of the world’s largest feed products, with more than 500M daily active users. Our vision is to create a feed that is “magically made for you and by you.” And our mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content from the voices they care about.
Our role in Discover Data Science is to drive that mission with a data-informed strategy, identifying opportunities and accelerating execution. The Discover Feed Experiences team owns the user-facing (non-ranking) elements of the Discover product including experience, growth, AI integration into feed and more.
Join Google Search AI and work at the intersection of industry leading
global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
**Responsibilities**
+ Work with large, complex data sets; solve difficult, non-routine analysis problems; apply advanced problem-solving methods; and conduct analysis that includes data gathering, requirement specification, processing, analysis, ongoing deliverables and presentations.
+ Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development.
+ Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design and assess improvements to Google products.
+ Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
+ Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user-facing products. Application areas include ads quality, search quality, end-user behavioral modeling and live experiments.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Location & working pattern
Mountain View, CA
Working pattern and location restrictions need checking in the full posting.
Work authorization
This passage needs a closer read in the full description.