The F3 (Fresh, Food, Fast) organization leads the innovation of Amazon’s ultra-fast grocery product initiatives including fresh groceries, household essentials, and its most popular products from Amazon.com. In this space Amazon aims to delight customers by delivering orders faster than ever before. With programs like Amazon Fresh and Prime Now, Prime members can now skip a trip to the store by shopping on the Amazon app and website for products like grocery staples, paper towels, shampoo, books, toys, batteries and more with orders delivered right to their door as quick as an hour.
The Grocery Management Science team in F3 is looking for an economist to help create and drive the long-term vision for how we manage selection of products for Fresh. As an economist, you will work with product managers, SDEs, vendor managers, and business intelligence engineers to help the Fresh organization determine optimal selection in stores and online through modelling of key customer behavior such as substitutability/complementarity of products, expected demand, etc. You will be expected to own the development of econometric models and to manage the modelling and validation work for your analysis products, working with SDEs to integrate the models into production systems.
A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results and the ability to influence a variety of stakeholders. He/she will be an expert in drawing customer insights through structural modelling techniques and have experience manipulating large data sets. The role with also include running experiments to validate developed econometric approaches. This high-impact role provides a great opportunity to demonstrate the ability to dive deep, deliver results, think big, invent and simplify, and earn trust. It will also allow for combining machine learning techniques with econometrics to improve our ability to serve customers.
· PhD in Economics or related field (finance, quantitative marketing)
·Experience in industry, consulting, government, or academic research
· Written and verbal communication skills
· Proven track record of applying econometric techniques to real business problems
· Experience with big data and machine learning
· Fluency in data analysis languages (e.g., R, Python, SAS, etc.) or other statistical software.
· Experience with experimental design
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 https://www.amazon.jobs/en/disability/us.