[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Seattle, WA # Senior Applied Scientist, Amazon Brand Stores US, WA, Seattle Senior individual contributor Research & Science Listed on Amazon’s official careers site. Posted July 2, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10464441/senior-applied-scientist-amazon-brand-stores) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Senior Applied Scientist, Amazon Brand Stores ## Job description The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. As for Brand Stores (e.g., amazon.com/lego and 1MM+ more), we are the exclusive destination for brand owners to showcase their content and product catalog through custom creative, seamlessly integrated with Amazon Stores and ads products, attracting millions of daily visits. We're reinventing how brands and shoppers connect. Using generative AI, we're building the next generation of brand-centric storefronts, reimagining store creation, optimization, performance analysis, and customer insights through state-of-the-art GenAI technologies. As a Senior Applied Scientist on the team, you'll own the science strategy and hands-on development of AI-powered brand experiences at Amazon scale. You'll operate at the intersection of frontier research and high-impact production systems, with the autonomy to shape what we build, how we build it, and where we invest next. This role combines science leadership, technical depth, product intuition, and business acumen. #GenAI ### Key job responsibilities If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, this is the role. * Build intelligent systems for Brand Stores. Develop AI-powered solutions leveraging generative models to optimize both advertiser and shopper experiences, measurably improving Brand Store performance. * Define a multi-year science vision and roadmap. Translate customer needs into actionable plans for applied scientists and engineering teams, blending science leadership, technical depth, product intuition, and business acumen. * Architect ahead of the GenAI curve. Anticipate where generative AI is heading over a multi-year horizon and position solutions to capitalize on compounding advances. * Experiment rigorously. Design and run A/B experiments grounded in deep data analysis to validate hypotheses and quantify impact. * Communicate with clarity. Translate complex technical ideas into compelling narratives for both technical and non-technical audiences. ### About the team The Brand Stores team within Sponsored Products and Brands is chartered to create agentic brand store building experience, automating brand store creation, personalization, and optimization across global marketplaces, serving millions of brand owners world-wide. ## At a glance - Posted by the employer: Jul 2, 2026 - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 11, 2026 - Listed for: 101 days - Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10464441/senior-applied-scientist-amazon-brand-stores) ## More jobs at Amazon ### [2027 Research Science Internship - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/c6b2426e856700039aad/) US, WA, Seattle ### [Applied Scientist](https://jobs.opennash.com/companies/amazon/jobs/f0aed8e58d7b1e914fe3/) US, WA, Seattle ### [Applied Scientist, Customer Experience and Business Trends](https://jobs.opennash.com/companies/amazon/jobs/a059390fa595724def2b/) US, WA, Seattle ### [Applied Scientist, Prime Video Personalization and Discovery, Prime Video Personalization & Discovery](https://jobs.opennash.com/companies/amazon/jobs/69664ee35787aa2881d3/) US, WA, Seattle ### [Applied Scientist - GenAI, Trust and Store Integrity Science](https://jobs.opennash.com/companies/amazon/jobs/c1fe2d5f38edbb3047c2/) US, WA, Seattle ## Similar jobs at other companies ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/6887d8f40d7a9e34526e/) Microsoft · United States, Washington, Redmond ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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