Senior Economist, Delivery Experience

Key Skills

Analytical and Problem solving, AWS, Linux Operating system, Python Programming, R Programming, SQL, Unix Operating system

Job Description

Economists in Delivery Experience (DEX) solve key business problems in operations and help drive innovation in Amazon's retail supply chain. You'll apply frontier economic methods to product design, pricing, personalization, 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 approaches to 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 coordinated package delivery, scheduled delivery, and sustainability in delivery services.

To be successful in this role, you'll need to communicate effectively with product and tech teams, work closely with partners across DEX and Amazon, 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 continuously raise the bar.

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

PREFERRED QUALIFICATIONS

• Experience working with software developers and product managers
• Experience in developing and executing an analytic vision to solve business-relevant problems
• Experience with machine learning models
• Knowledge of Python or R
• Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods
• Experience in industry, consulting, government or academic research

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.

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.