Job Title

Amazon Advertising is one of Amazon''s fastest-growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed through native advertising, increasing the incremental sales of their products sold via Amazon. The SP team aims to help shoppers discover new products they love, provide the most efficient way for advertisers to meet their business objectives, and build a sustainable, innovative business that benefits customers. Our products and solutions are strategically important for enabling long-term growth in our Retail and Marketplace businesses. We deliver billions of ad impressions and millions of clicks daily, pioneering new product and technical innovations. Basic qualifications: PhD degree with 4 years of applied research experience or a Master''s degree with 6 years of applied research experience 3 years of experience building machine learning models for business applications Proficiency in programming languages such as Java, C++, Python, or related languages Preferred qualifications: Advanced degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field Published research work in academic conferences or industry circles Experience developing large-scale machine learning models and infrastructure for online recommendation, ad ranking, personalization, or search Technical leadership in machine learning Effective communication skills for both technical and non-technical audiences Experience working with real-world, big data sets and building scalable models Strategic thinking with attention to tactical execution Strong business judgment, balancing product, technology, and business needs Experience in computational advertising Why you will love this opportunity: Amazon is heavily investing in building a world-class advertising business. Our team defines and delivers innovative advertising products that drive discovery and sales, generating billions in revenue and supporting long-term growth. We are a motivated, collaborative, and fun-loving team with an entrepreneurial spirit, eager to experiment and innovate. Impact and Career Growth: You will influence customer shopping experiences, help suppliers grow their retail business, and shape auction dynamics leveraging native advertising. This role offers the chance to work within Amazons fastest-growing sectors, defining a long-term science vision for our advertising business aligned with customer needs, and translating that into actionable research and product development plans. This position combines scientific leadership, organizational skills, technical expertise, product focus, and business understanding. Key job responsibilities: As a Senior Applied Scientist, you will: Lead AI and Machine Learning efforts within the team and across other teams Analyze large datasets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience Drive end-to-end machine learning projects involving ambiguity, scale, and complexity Build, validate, optimize, and deploy machine learning models in production, collaborating with software engineers Conduct A/B experiments, analyze data, and perform statistical analysis Establish scalable, automated processes for data analysis, model development, validation, and serving Research innovative machine learning approaches Recruit and mentor applied scientists Additional requirements include 3 years of experience building models for business applications, a PhD or Masters degree with relevant experience, proficiency in programming languages such as Java, C++, or Python, and experience with algorithms, data structures, numerical optimization, data mining, parallel computing, and Unix/Linux environments. Experience in professional software development is also required. Amazon is an equal opportunity employer and values diversity. We support applicants with disabilities through workplace accommodations during the hiring process. For more information, please contact your Recruiting Partner or visit our support page. Key Skills: Laboratory Experience, Immunoassays, Machine Learning, Biochemistry, Assays, Research Experience, Spectroscopy, R&D, cGMP, Cell Culture, Molecular Biology, Data Analysis Skills Employment Type: Full-Time Experience: 4+ years Vacancy: 1 #J-18808-Ljbffr