About this opportunity
Amazon lists this Principal Applied Scientist, Personalization opportunity in jessup, Maryland. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job ID: | Amazon.com Services LLC
We are building the next generation of personalized shopping experiences at Amazon through deep understanding of our customer's intent and our product catalog. We aim to create an experience akin to that of a talented personal shopping assistant — a partner that is knowledgeable, understands your preferences, and helps you find the right solution for your needs.
Responsibilities
Innovate new features and models that have 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
Be a key leader on 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 across multiple teams, helping coordinate a cohesive science agenda across the org.
Mentoring applied scientists across the org, growing their skills and careers.
About the team
Our 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 Principal Applied Scientist to lead the science charter across the recommendations and intent identification space.
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
Experience working in predictive modeling and analysis
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
Preferred Qualifications
Experience creating novel algorithms and advancing the state of the art
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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit .
Our equal opportunity statements apply to all applicants and employees. This position does not imply a vacancy is available or that the position has been filled.
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Worksite address
jessup, MD, 20794, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.