As an Economist on our team, you will work with product managers, vendor managers, software development engineers (SDEs), and other scientists to help the grocery organization determine optimal selection for our online and physical stores. You will develop and extend models of key customer behavior and preferences such as substitutability/complementarity of products, expected demand, and optimization approaches that produce selection recommendations that delight our customers and meet our real-world constraints. You will be expected to own the the full lifecycle of your projects from devising methodological approaches, implementation, validation, and working with engineers to integrate 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. They will be an expert in machine learning and operations research. The role will also include running experiments to validate developed approaches.
Key job responsibilities
- Interact with engineering, operations, science, and business teams to develop an understand and domain knowledge of processes, system architectures, and business requirements.
- Develop scalable models to generate selection models.
- Create prototypes, simulations, and experiments to test devised solutions.
- Advocate technical solutions to business stakeholders, engineering teams, and executive-level decision makers
- Work closely with engineers to integrate models into production systems.
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
The WW Grocery Stores team has a broad charter spanning multiple banners worldwide – Amazon Fresh, Amazon Go, Whole Foods, and third party grocery partnerships.
BASIC QUALIFICATIONS
- PhD in economics or equivalent
PREFERRED QUALIFICATIONS
- 2+ years of industry, consulting, government, or academic research experience
- Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
- Experience in prediction and forecasting in a research or industrial environment
- Experience with handling of large datasets
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.