Senior Economist, Delivery Experience Economics (DEX Econ)

Economists at Amazon Delivery Experience (DEX) work directly with senior management to drive innovation in Amazon's retail supply chain and help solve key business problems in operations. You'll apply frontier economic techniques to product design, pricing, forecasting, program evaluation, and more. You'll build econometric models using our world class data systems and apply economic theory to solve business problems in a fast-moving environment. Economists at Amazon develop novel methods to process large data sets, solve quantitative problems, and contribute to the design of automated systems across the company.

We're looking for a Senior Economist with a background in causal analysis to lead studies related to innovative delivery programs. Potential projects include understanding how customers value programs that enable products and packages delivered together, scheduled delivery, and sustainability as it applies to delivery services.

To be successful in this role, you'll need to communicate effectively, work closely with stakeholders across DEX and our partner teams, and translate data-driven findings into actionable insights. You'll thrive if you enjoy tackling ambiguous challenges using the economics toolkit and identifying and solving problems at scale. We have a supportive, fast-paced team culture, and we prioritize learning, growth, and helping each other to continuously raise the bar.

This position has a flexible location in New York (NY), Bellevue (WA), Vancouver (CAN), or Austin (TX).

Key job responsibilities

• Lead data-driven econometric studies to create future business opportunities
• Consult with stakeholders in Delivery Experience and other teams to help solve existing business challenges
• Independently identify and pursue new opportunities to leverage economic insights
• Advise senior leaders and collaborate with other scientists to drive innovation
• Support innovative delivery program growth worldwide
• Write business and technical documents communicating business context, methods, and results to business leadership and other scientists
• Serve as a technical lead and mentor for junior scientists, ensuring a high science bar
• Serve as a technical reviewer for our team and related teams, including document and code reviews

Basic Qualifications

• PhD in economics or equivalent
• 3+ years post-PhD research and work experience
• Proficiency in causal inference models and program evaluation
• Experience building statistical models using Python, R, Stata, or related

Preferred Qualifications

• Experience working with data scientists, software development teams, and other technical roles on large, complex data science projects
• Experience with double machine learning and common machine learning prediction models
• Experience with AWS tools such as Sagemaker, EMR, S3, and Redshift

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.