Staff Research Data Scientist, Discover Experience
Share Staff Research Data Scientist, Discover Experience
corporatefare_ 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 proto@type 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.
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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/OFCCPEEOPost.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.
