Are you excited to help customers discover the hottest and best reviewed products The Discovery Tech team helps customers discover and engage with new popular and relevant products across Amazon worldwide. We do this by combining technology science and innovation to build new customer-facing features and experiences alongside agentic tools for marketers. You will be responsible for creating and building critical services that automatically generate target and optimize Amazons cross-category marketing and merchandising. Through the enablement of intelligent marketing campaigns that leverage machine-learning models you will help to deliver the best possible shopping experience for Amazons customers all over the globe.
We are looking for analytical problem solvers who enjoy diving into data 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 specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design development testing and deployment of data-driven and highly 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 the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design clarity model structure efficiency and extensibility. You tackle intrinsically hard problems acquiring expertise as needed. You decompose complex problems into straightforward solutions.
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.