Applied Scientist

Job ID: 1553342 | Services LLC


Passionate about books, reading and Demand Science? Kindle/Books Demand Science team is seeking an experienced Applied Scientist to unlock the power of the information stored in the 1B+ searches, clicks, purchases, reading and borrows. A successful candidate will bring deep technical expertise, desire to positively impact Books customer experience, and passion for Science.

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The Kindle/Books Demand Science team is developing our Demand Science arm to optimize supply chain outcomes for Books. We look to optimize these outcomes by applying an understanding of our customer’s preferences and behaviors through initiatives including:

· Building and refining demand forecasts which are explainable and actionable
· Better serving our customers by understanding their content preferences amongst our various reading formats and programs
· Developing a deep understanding of content substitutability and complementarity and its impact on demand
Core Responsibilities
· Leverage the latest advancements in ML to lead the research efforts in adopting/creating ML science for books
· Develop and deploy (in partnership with Engineering, Science and Product Management teams) ML models that power specific applications
· Develop, explain, and socialize evaluation metrics for ML models
· Mentor and collaborate with other scientists on basic and applied research


· PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
· 2+ years of experience of building machine learning models for business applications
· Experience programming in Java, C++, Python or related language


· PhD degree or equivalent in Computer Science, Cognitive Science, Statistics, or related field
· 5+ years of research experience in the field of Demand Science, Forecasting or applied Science in Retail
· Significant peer reviewed scientific contributions in ML, time series or related fields
· Extensive experience with theoretical models in an applied environment
· Expertise in a broad set of modelling approaches and techniques, ranging from Time Series methods to Artificial Neural Networks
· Experience with defining organizational research and development practices in an industry setting
· Experience in developing and launching ML products
· Strong communication and data presentation skills

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