Senior Applied Scientist, Personalization - Customer ...

Description Description Description:Our vision is to build the next generation of shopping experience at Amazon through personalization and understanding the customer''s intent. We imagine our core experiences to work together as a talented personal shopping assistant would "” a partner that is knowledgeable, understands your preferences, and helps you find the right solution for your needs. We aim for the quality of personalization to be a core reason customers choose Amazon, on par with Earth''s largest selection, low prices, and fast and free shipping. We are looking for a Senior Applied Scientist to lead the innovation in our space. Come join us in the journey! Key job responsibilities* Innovate new features and models that can make a huge impact on the customer experience. Help customers find the right products and content on their shopping journey. Leverage the use of advanced machine learning to create customer shopping experience at Amazon''s scale - for all Amazon customers across all countries in realtime* Work as part of a multidisciplinary team across science, product, design, and engineering to see through ideas from inception, prototype, to launch in the hands of all Amazon''s customers* Drive the science roadmap and help build infrastructure that accesses terabytes of data to produce and deliver models with low latency and high reliability* Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationAbout the teamOur mission is to delight every Amazon customer with a personalized shopping experience tailed to their intent. We achieve our mission through investments in UX, Science, and Systems with the purpose of delivering the future of shopping on Amazon. We are seeking a Senior Applied Scientist to lead the science charter across the recommendations and intent identification space. About our organization:Our team is part of Amazon''s Personalization organization, a high-performing group that leverages Amazon''s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as ''Keep shopping for ...'', "Customers who bought this item also bought", and "Frequently bought together". Amazon''s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.Basic Qualifications PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience3+ years of experience in building machine learning models for business applicationExperience programming in Java, C++, Python or related languageComputer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysisExperience building complex software systems that have been successfully delivered to customersPreferred Qualifications Ph.D. in Computer Science, Mathematics, Statistics, related field, or equivalent experience.5+ years of hands-on experience in building machine learning models for business applicationsExperience with distributed machine learning systemsAbility to take a project from scoping requirements through actual launch of the projectExcellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.A strong sense of curiosity and willingness to learn quickly, building knowledge and skills that this role requires.Ability to handle multiple competing priorities in a fast-paced environment. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.Basic Qualifications PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience3+ years of experience in building machine learning models for business applicationExperience programming in Java, C++, Python or related languageComputer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysisExperience building complex software systems that have been successfully delivered to customersPreferred Qualifications Ph.D. in Computer Science, Mathematics, Statistics, related field, or equivalent experience.5+ years of hands-on experience in building machine learning models for business applicationsExperience with distributed machine learning systemsAbility to take a project from scoping requirements through actual launch of the projectExcellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.A strong sense of curiosity and willingness to learn quickly, building knowledge and skills that this role requires.Ability to handle multiple competing priorities in a fast-paced environment. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.

Created: 2025-10-04