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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist, GeminiApp, DeepMind - **Company:** Google LLC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $232,000.0 - $252,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Bioinformatics, Machine Learning, Build Management, Data Analytics - **Published:** September 3, 2026 - **Apply:** https://www.sanfranciscogigs.com/job.asp?id=3375525934&tx=TT4744THV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. * 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data., * Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence. ## Description * Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies. * Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives. * Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience. * Advocate data-driven culture by feeding user engagement insights back into models. * Collaborate with the GenAI team on model quality and feature adoption. 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Google Gemini: Open Source and Deep Thinking Models - Sam Witteveen](https://www.wearedevelopers.com/videos/1332-google-gemini-open-source-and-deep-thinking-models-sam-witteveen) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [DeepMind Gemini: Google’s Newest Chatbot](https://www.wearedevelopers.com/magazine/341-deepmind-gemini-google-s-newest-chatbot) - [Dev Digest 161: Gemini 2.5, AI killing search, EU A11Y Act](https://www.wearedevelopers.com/magazine/569-dev-digest-161-gemini-2-5-ai-killing-search-eu-a11y-act) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms) - [16 Ways Developers Can Use ChatGPT-4 and GPT-4o](https://www.wearedevelopers.com/magazine/204-16-ways-developers-can-use-chatgpt-4-and-gpt-4o) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)