Applied Scientist II, US Prime and Marketing Tech

Applied Scientist II, US Prime and Marketing Tech Job ID: 3203800 | Amazon.com Services LLC Overview The Discovery Tech team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We build customer-facing features and experiences alongside advanced tools for marketers, by combining technology, science, and innovation. You will create and build critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising. Through enablement of intelligent marketing campaigns that leverage machine-learning models, you will help deliver the best possible shopping experience for Amazon’s customers globally. We are looking for analytical problem solvers who enjoy data, are excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify actionable opportunities to solve business problems and explore future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and scalable machine learning solutions in product recommendation. As an Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect how we build and integrate algorithms. Your solutions should demonstrate excellence in algorithm design, model structure, efficiency, and extensibility. You tackle hard problems and decompose complex problems into straightforward solutions. To know more about Amazon science, please visit https://www.amazon.science Responsibilities Contribute to the design, development, testing, and deployment of data-driven, scalable ML solutions for product recommendations and marketing analytics. Build and optimize services that automatically generate, target, and optimize cross-category marketing campaigns. Collaborate with software engineers, product managers, and business stakeholders to identify opportunities and translate them into actionable ML solutions. Communicate scientific decisions and trade-offs clearly to non-technical partners. Basic Qualifications PhD, or Master’s degree and 1+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience building machine learning models or developing algorithms for business applications Preferred Qualifications Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF Amazon 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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually Posted: March 2, 2026 (Updated 1 day ago) Posted: December 4, 2025 (Updated 1 day ago) Posted: March 9, 2026 (Updated 2 days ago) Posted: February 27, 2026 (Updated 2 days ago) Posted: March 10, 2026 (Updated 2 days ago) #J-18808-Ljbffr