[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 · CA, ON, Toronto # Applied Scientist, Demand Tech Planning CA, ON, Toronto Research & Science Listed on Amazon’s official careers site. Posted July 17, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10477908/applied-scientist-demand-tech-planning) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist, Demand Tech Planning ## Job description The Media Planning Science team develops and implements models that deliver insights and recommendations for strategic media planning and measurement across Amazon Advertising's product portfolio. Our mission is to help advertisers create and execute plans that meet their objectives while providing accurate measurement tools. We work on a multitude of problem statements that encompass Incremental Reach, Budget Planning Optimization, and Recommendations. Our models leverage both heuristic and machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic systems to ensure optimal advertising outcomes. As an Applied Scientist on the team, you will be at the forefront of innovation, developing media planning solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel insights to our customers. ### Key job responsibilities * Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement and media planning problems * Disambiguate problems to propose clear evaluation frameworks and success criteria * Work autonomously and write high quality technical documents * Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production * Partner closely with other scientists to deliver large, multi-faceted technical projects * Share and publish works with the broader scientific community through meetings and conferences * Communicate clearly to both technical and non-technical audiences * Contribute new ideas that shape the direction of the team's work * Mentor junior scientists and participate in the hiring process ### A day in the life You will solve real-world problems by analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop ML/DL models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal documents to share insights to audiences of varying levels of technical sophistication. ### About the team We are a team of scientists across Applied and Data Science disciplines. You will work with colleagues with deep expertise in ML, DL, NLP, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions. ## At a glance - Posted by the employer: Jul 17, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 11, 2026 - Listed for: 86 days - Location: CA, ON, Toronto[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10477908/applied-scientist-demand-tech-planning) ## More jobs at Amazon ### [Applied Scientist, Ring AI](https://jobs.opennash.com/companies/amazon/jobs/dc63e402d5b6cccfd234/) CA, ON, Toronto ### [Applied Scientist, Sales AI](https://jobs.opennash.com/companies/amazon/jobs/8c670d9accc7ee611f5a/) CA, ON, Toronto ### [Account Executive, Global Growth Sales, Global Growth Sales](https://jobs.opennash.com/companies/amazon/jobs/6cd65e1b6ec847b6d816/) CA, ON, Toronto ### [Architecte en sécurité cloud / Cloud Security Architect, Services Professionnels AWS / AWS professional services](https://jobs.opennash.com/companies/amazon/jobs/ca87d3ea9102b8c134e9/) CA, ON, Toronto ## Similar jobs at other companies ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/8a7d91bfa45092bd6f67/) Microsoft · India, Karnataka, Bangalore ### [Snr Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/fb723b61f9446bfef2ac/) Microsoft · Egypt, Cairo ### [Principal Applied Scientist](https://jobs.opennash.com/companies/siemens/jobs/ebc7555c43c701d4e6a1/) Siemens ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/f84d876e664f65488fea/) UnitedHealth Group · Hyderabad, Telangana [Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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