Applied Scientist

Job ID: 1149548 | Services LLC


The Specialized Selection team powers inventory selection decisions across specialized Amazon businesses such as Amazon Books, 4-Star, Prime Now and Pantry. We build science-based models to make these selection decisions driven by signals such as historical search and sales data, inventory procurability, and product substitutability and complementarity. We partner with these specialized businesses across Amazon to apply our expertise in selection decisions to their specific needs. Selection is a focal point for these businesses and the team is driving highly-visible projects across SCOT, Retail and Physical stores

We are looking for an outstanding scientist to help build next generation selection/assortment systems. As an ML scientist you will work with software engineers, product managers and business teams to understand the requirements/current challenges, distill that understanding to elegantly define the problem and develop innovate solutions to address those problems using techniques in machine learning and optimization. You will work with team of engineers and scientists who are passionate about using machine learning to build automated systems and solve problems that matter to our customers. Your work will directly impact our customers in form of selection we offer them.

-Research and implement machine learning and optimization models to solve problems that matter to our customers
-Understand business requirements and existing challenges and map them to the right scientific solution
-Develop right set of metrics to evaluate efficiency/accuracy of the algorithms


· PhD in machine learning, operations research, applied mathematics or a related field
· experience building predictive and optimization models
· knowledge in at least one of following fields: machine learning, operations research, economics
· Fluency in a high-level modeling language such as R, Python, Matlab or other statistical software
· Ability to navigate conflicting priorities and ambiguous problem space(s)


· Ability to convey rigorous mathematical concepts and considerations to business and product teams
· Curiosity and desire to learn
· Experience in feature engineering and building advanced forecasting models
· Familiarity/experience with retail industry and the assortment planning space