Economist, Hone Innovation Team
Apply NowCompany: Amazon
Location: Seattle, WA 98115
Description:
The North America Stores Regionalization team at Amazon is looking for a highly skilled Economist II to guide experimental design, conduct feature validation, and perform treatment effect analysis for ReSES, an experimental system that runs tests for high-impact initiatives. These initiatives will enhance how Amazon connects customers with nearby product offers and local inventory, creating a more efficient shopping experience with faster delivery options for products strategically positioned close to customer locations.
Regionalization significantly improves Amazon retail operations by optimizing fulfillment networks, reducing cost to serve customers, providing them with relevant and locally available purchase options, and enhancing their overall shopping experience. In this role, you'll help determine which products benefit most from regional availability by analyzing customer preferences, sales economics, and product substitutability. You'll utilize advanced science and econometrics tools to simulate regions, validate High Value Actions, calculate substitution effects, and efficiently support strategies for regional programs and regionalization initiatives across the business. You'll ensure compatibility with existing buying and merchandising systems while meeting the needs of retail teams worldwide. Your responsibilities include designing, evaluating, measuring, refining, and launching simulations/experiments for Regional Programs models and metrics that enhance the customer experience and optimize for Long Term Free Cash Flow (LTFCF).
Key job responsibilities
This complex area requires the following key responsibilities:
Design A/B tests and experiments related to regionalization and conduct statistical analysis on their results. Deep dive on different metrics.
Scale optimization techniques to drive business value.
Apply and develop scalable state-of-the-art methods in time-series econometrics to solve business questions.
Translate business questions and concerns into specific quantitative questions that can be answered with available data and rigorous science.
Partner with scientists and data engineers to deploy models to production.
Communicate results to customers and provide scientific guidance to senior leadership through written and verbal presentations."
About the team
The Home & Lifestyle Innovation Tech (HLIT) team's mission is to help Amazon teams operate a profitable and economically sustainable business, by lowering Cost to Serve (CtS). To do so, we build technology solutions that optimize economics across the value chain. To improve profitability of the procurement process, we help category teams conduct effective and efficient negotiations and improve negotiator efficiency.
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 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 $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.
Regionalization significantly improves Amazon retail operations by optimizing fulfillment networks, reducing cost to serve customers, providing them with relevant and locally available purchase options, and enhancing their overall shopping experience. In this role, you'll help determine which products benefit most from regional availability by analyzing customer preferences, sales economics, and product substitutability. You'll utilize advanced science and econometrics tools to simulate regions, validate High Value Actions, calculate substitution effects, and efficiently support strategies for regional programs and regionalization initiatives across the business. You'll ensure compatibility with existing buying and merchandising systems while meeting the needs of retail teams worldwide. Your responsibilities include designing, evaluating, measuring, refining, and launching simulations/experiments for Regional Programs models and metrics that enhance the customer experience and optimize for Long Term Free Cash Flow (LTFCF).
Key job responsibilities
This complex area requires the following key responsibilities:
Design A/B tests and experiments related to regionalization and conduct statistical analysis on their results. Deep dive on different metrics.
Scale optimization techniques to drive business value.
Apply and develop scalable state-of-the-art methods in time-series econometrics to solve business questions.
Translate business questions and concerns into specific quantitative questions that can be answered with available data and rigorous science.
Partner with scientists and data engineers to deploy models to production.
Communicate results to customers and provide scientific guidance to senior leadership through written and verbal presentations."
About the team
The Home & Lifestyle Innovation Tech (HLIT) team's mission is to help Amazon teams operate a profitable and economically sustainable business, by lowering Cost to Serve (CtS). To do so, we build technology solutions that optimize economics across the value chain. To improve profitability of the procurement process, we help category teams conduct effective and efficient negotiations and improve negotiator efficiency.
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 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 $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.