We are looking for a Machine Learning Scientist to join the Devices Planning team for the entire Amazon device family of products and accessories. We develop scalable and robust state-of-the-art algorithms that involve learning from large amounts of past data in order to drive more efficient customer engagement and business values. This role is central to the continued growth of the Device division as we have grown from the first Kindle e-reader to a vast portfolio of Fire tablets, Fire TVs, Echo, and Dash. You will have an opportunity to both develop advanced scientific solutions and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business and business requirements, identifying opportunities from a large amount of historical data, building prototypes and exploring conceptually new solutions, running online experiments, to working with partner teams for prod deployment. You will collaborate closely with engineering
· Master or PhD in machine learning, applied mathematics or a related engineering field · 2+ years of hands on experience to build applied machine learning models · Fluency in a high-level data analysis and modeling language such as Python, R, Java and/or Scala · Strong written and verbal communication and collaboration skills· Ability to distill problem definitions and constraints from ambiguous requirements, and to deal with competing objectives and priorities · Strong track record to design, prototype, experiment, and implement machine learning models · Proficiency with SQL and first-hand experience