DescriptionThe Stores Economics and Science (SEAS) team is an interdisciplinary science and economics team whose mission is to solve high-risk, high-return problems for the Stores organization. We leverage frontier science, partner with teams across Amazon, and learn from the tools, experience, and perspectives of others. Our work spans rapid responses to pressing leadership questions, collaborative partnerships to help other teams achieve their goals, and multi-year scientific bets with large upside potential.We are looking for an economist who can use data-driven modeling and analyses to make the right trade-offs and solve impactful business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.In this role, you will contribute to SEAS' mission in two key ways. First, you will leverage your economic expertise to help design and validate scientific solutions for pressing business challenges. This will involve applying advanced analytical techniques, conducting rigorous data analysis, and proactively proposing high-impact initiatives that can be rapidly prototyped and scaled. Secondly, you will play a crucial role in translating complex economic models and insights into actionable recommendations that directly inform leadership decisions across the organization. This will require strong communication skills to effectively collaborate with cross-functional partners and drive meaningful change.Responsibilities
Collaborate with cross-functional partner teams to understand their challenges and translate them into rigorous economic frameworks that can be addressed through data analysis, modeling, and experimentation.
Own the end-to-end development of economic models and analyses, including conducting necessary data gathering, analysis, and validation to drive actionable insights, and
Effectively communicate your economic findings, models, and proposed solutions to senior business stakeholders, incorporating their feedback to refine your work.
Basic Qualifications
PhD in Economics or highly related field (Marketing, Finance, Statistics, Math)
Experience in industry, consulting, government, or academic research
Experience in applied economic analysis and with big data and machine learning or data science
Coding ability in a scripting language such as R, Python, Matlab, or STATA
Preferred Qualifications
Strong research track record, drives results
Thinks strategically, but stays on top of tactical execution
Effective verbal and written communications skills
Exhibits business judgment
Has relentlessly high standards
Dives deep, thinks big and has convictions
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 $116,300/year in our lowest geographic market up to $201,000/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.
