Principal Economist, Stores Economics and Science

Principal Economist, Stores Economics and ScienceJob ID: | Amazon.com Services LLCThis role will contribute to developing the Economics and Science products and services in the Fee domain, with specialization in supply chain systems and fees. Through the lens of economics, you will develop causal links for how Amazon, Sellers and Customers interact. You will be a key and senior scientist, advising Amazon leaders how to price our services. You will work on developing frameworks and scalable, repeatable models supporting optimal pricing and policy in the two‑sided marketplace that is central to Amazon's business. The pricing for Amazon services is complex. You will partner with science and technology teams across Amazon including Advertising, Supply Chain, Operations, Prime, Consumer Pricing, and Finance.We are looking for an experienced Principal Economist to improve our understanding of seller economics, enhance our ability to estimate the causal impact of fees, and work with partner teams to design pricing policy changes. In this role, you will provide guidance to scientists to develop econometric models to influence our fee pricing worldwide. You will lead the development of causal models to help isolate the impact of fee and policy changes from other business actions, using experiments when possible, or observational data when not.Key job responsibilitiesLead the development of causal models to isolate the impact of fee and policy changes.Provide guidance to scientists in developing econometric models for fee pricing worldwide.Lead large, highly ambiguous projects and deliver results.Collaborate closely with economists, data/applied scientists, strategy analysts, data engineers, and product leads to integrate economic insights into policy and systems production.Familiarity with systems and services that constitute seller supply chains is a plus.About the teamThe Stores Economics and Sciences team is a central science team that supports Amazon's Retail and Supply Chain leadership. We tackle some of Amazon's most challenging economics and machine learning problems, where our mandate is to impact the business on massive scale.Basic QualificationsPhD in Economics, Computer Science, or a highly related field (Statistics, Finance, Math)10+ years in industry, consulting, government, or academic researchExperience with big data and machine learning or data scienceCoding ability in a scripting language such as R, Python, or STATAPreferred QualificationsExperience in developing and executing an analytic vision to solve business‑relevant problems.Experience in building analytic or scientific data products or solutions.Strong written and verbal communication skills to convey complicated processes and systems to business partners and senior leadership.Experience that is considerably broader and deeper is strongly encouraged.Strong track record in performing high‑quality analysis of data at scale.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $170,500 per year in our lowest geographic market up to $294,700 per 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.#J-18808-Ljbffr