Senior Product Data Scientist, Discover Experience
Mountain View, CA
- Pay
USD 163,000–236,000/yearAnnual period assumed — pay source
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Python
- R
- SQL
Source — Tool mentions in context
+ Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree). **Preferred qualifications:**
+ Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). + Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences across different levels.
Job description
Senior Product Data Scientist, Discover Experience
Share Senior Product Data Scientist, Discover Experience
_corporate_fare_ Google _place_ Mountain View, CA, USA
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Senior Product Data Scientist, Discover Experience
_info_outline_
XIn most instances, this position requires in-person interviews as part of the hiring process.
**Minimum qualifications:**
+ Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
+ 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
**Preferred qualifications:**
+ Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
+ 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
+ Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences across different levels.
+ Excellent problem-framing, problem-solving and team collaboration skills.
**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 knowledge 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 mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content.
Our role in Discover Data Science is to advance 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
**Responsibilities**
+ Conduct analysis and define launch criteria for important launches, designing, implementing, and analyzing experiments to measure the impact of new features and product changes, ensuring we make data-driven decision.
+ Drive exploratory analysis and user understanding, user behavior patterns, and identifying, sizing and articulating new opportunities for Discover.
+ Work with cross-functional teams (Product Management, Engineering, UXR, Design) on launch analysis, product iteration, and impact quantification.
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on www.google.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected 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: $163000 - $236000 (USD) + 15% 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.
Open source at www.google.com ↗
This posting reached us through a job exchange.
Read the full description ↓- Status in our records
- Active
- First seen by us
- Oct 13, 2026
- Recorded sightings
- 2
- Last seen by us
- Oct 14, 2026
- Employer says posted
- Oct 7, 2026
We found this posting on the National Labor Exchange. These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.