• Senior Economist, Catalog Experimentation

    Amazon (Seattle, WA)


    Description

    If you are an Economist, who dreams of conceptualizing an Amazon wide program from scratch and possess the confidence to navigate through early stage ambiguities, read on.

     

    Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog - it powers the online buying experience for customers worldwide so they can find, discover and buy anything they want. Amazon’s customers rely on the completeness, consistency and correctness of Amazon's product data to make well-informed purchase decisions. Improving the quality of product data is a continuous process. It requires data driven decisions on what product data changes simplify and improve the Customers’ experience.

     

    Our team seeks an outstanding economist with demonstrated experience conducting causal inference at scale. Our problems include attributing values to actions in complex world of catalog information driving customer behavior. The ideal candidate combines acumen in data science and causal modeling to grapple with these and other challenges and guide decision-making at the highest levels. This is an opportunity to influence catalog quality improvements across Amazon across hundreds of initiatives.

    Basic Qualifications

    - PhD in economics or equivalent

     

    - Quantitative Marketing, Finance, or a related field.

     

    - Hands-on experience working in the causal inference domain.

     

    - Keen judgment for balancing research depth and pacing.

     

    - Work and collaborate effectively with tech teams, and launch to production.

     

    - Influence senior leadership teams on the value propositions and generate new product ideas.

    Preferred Qualifications

    - Advanced knowledge of machine-learning techniques applied to causal inference.

     

    - Demonstrated skills implementing and deploying large scale machine learning applications and tools.

     

    - Proficiency with a scripting language such as R, Matlab, Python

     

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

     

    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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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.