Economist, Hone Innovation Team

Amazon Stores; Seattle (WA); On-site; USD 136,000 - 213,000; Full time

Job summary

Join a forward-thinking team at a leading company, where you will leverage your expertise as an Economist II to enhance customer experiences through data-driven insights. In this pivotal role, you will lead experimental design and analysis to optimize regional product availability, improving shopping efficiency and delivery speed. Collaborate with scientists and data engineers to deploy impactful models while communicating your findings to senior leadership. This is a unique opportunity to contribute to innovative solutions that drive profitability and sustainability in a dynamic retail environment.

Qualifications

• PhD in economics or equivalent required.
• 2+ years of experience in industry or research preferred.

Responsibilities

• Design and analyze A/B tests related to regionalization.
• Develop optimization techniques to drive business value.
• Communicate findings effectively to stakeholders.

Skills

Statistical Analysis

Econometrics

A/B Testing

Data Analysis

Forecasting

Education

PhD in Economics

Tools

R

Stata

Matlab

SAS

Job description

The North America Stores Regionalization team at Amazon is seeking a highly skilled Economist II to lead experimental design, feature validation, and treatment effect analysis for ReSES, an experimental system testing high-impact initiatives. These initiatives aim to improve how Amazon connects customers with nearby product offers and local inventory, enhancing shopping efficiency and delivery speed.

Regionalization plays a crucial role in optimizing Amazon's retail operations by streamlining fulfillment networks, reducing customer costs, offering relevant local purchase options, and improving the overall shopping experience. In this role, you will analyze customer preferences, sales economics, and product substitutability to identify products that benefit from regional availability. You will employ advanced scientific and econometric tools to simulate regions, validate High Value Actions, calculate substitution effects, and support regional strategies across the business. Ensuring compatibility with existing buying and merchandising systems and meeting retail teams' needs worldwide will be essential. Your responsibilities include designing, evaluating, and refining simulations and experiments for regional programs to enhance customer experience and optimize Long Term Free Cash Flow (LTFCF).

Key responsibilities

1. Design A/B tests and experiments related to regionalization and analyze their results.
2. Develop and scale optimization techniques to drive business value.
3. Apply and develop scalable methods in time-series econometrics to address business questions.
4. Translate business concerns into specific quantitative questions answerable with available data and rigorous science.
5. Partner with scientists and data engineers to deploy models into production.
6. Communicate findings effectively to stakeholders and provide scientific guidance to senior leadership.

About the team

The Home & Lifestyle Innovation Tech (HLIT) team aims to help Amazon operate profitably and sustainably by lowering Cost to Serve (CtS). We build technology solutions to optimize economics across the value chain, improve procurement profitability, and enhance negotiation efficiency for category teams.

Basic qualifications

• PhD in economics or equivalent

Preferred qualifications

• 2+ years of experience in industry, consulting, government, or academic research
• Proficiency in statistical software such as R, Stata, Matlab, or SAS
• Experience in prediction and forecasting in research or industrial settings
• Experience handling large datasets

Amazon is an equal opportunity employer and values diversity. If you require workplace accommodations during the application process, please visit our support page for more information. Compensation varies based on location, skills, and experience, with a range from $136,000 to $212,800 annually, plus potential equity, sign-on bonuses, and benefits. This position remains open until filled. Applicants should apply through our career site.