{"id":4286189,"url":"https://alion.io/job/google-staff-research-data-scientist-discover-experience","title":"Staff Research Data Scientist, Discover Experience","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":131,"ghost_share":0.038,"stale_share":0.763,"repost_share":0.038,"time_to_fill_p50_days":30,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-13T20:40:42Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T21:52:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nFrom 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.\nDiscover 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.\nOur 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.\nJoin Google Search AI and work at the intersection of industry leading\nglobal 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nWork 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.\nBuild 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.\nInteract 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.\nMake business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.\nResearch 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.\nQualifications\nMinimum qualifications:\nMaster's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field.\n8 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.\nPreferred qualifications:\n10 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.\nExperience with strategic analysis, metric reporting and executive presentations.\nExperience with statistical modeling, survey design, data analysis and effective experimental design.\nAbility to complete project work separately and work with cross-functional 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