DescriptionThe 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 responsibilitiesLeverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement and media planning problemsDisambiguate problems to propose clear evaluation frameworks and success criteriaWork autonomously and write high quality technical documentsImplement a significant portion of critical-path code, and partner with engineers to directly carry solutions into productionPartner closely with other scientists to deliver large,



multi-faceted technical projectsShare and publish works with the broader scientific community through meetings and conferencesCommunicate clearly to both technical and non-technical audiencesContribute recent ideas that shape the direction of the team's workMentor junior scientists and participate in the hiring processA day in the lifeYou 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 TeamWe 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.Basic Qualifications3+ years of building models for business application experiencePhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPreferred QualificationsCurrently has,



or is in the process of obtaining, a PhD in computer science, computer engineering, or related fieldExperience applying theoretical models in an applied environmentExperience applying generative AI techniques to solve complex scientific or business problems with measurable impactAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.Jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.CAN, ON, Toronto - 149,300.00 - 249,300.00 CAD annuallyCompanyAmazon Development Centre Canada ULC #J-18808-Ljbffr

📌 Applied Scientist, Demand Tech Planning (Toronto)
🏢 Amazon
📍 Toronto