Economist I - Data-Driven Pricing & Strategy

Amazon; Santa Clara (CA); On-site; USD 149,000 - 201,000; Full time

Benefits offered by this job

Health insurance

RSUs (restricted stock units)

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC is seeking an economist to develop econometric models using large datasets and apply quantitative methods to a range of business problems across AWS, retail, and operations. You will work with scientists, economists, and engineers in a fast-paced environment to deliver insights that shape strategy.

The role emphasizes econometric theory, empirical analysis, and the development of automated analytics tools to inform decision making at scale.

Qualifications

• PhD in Economics, Quantitative Marketing, Finance, or closely related field.
• Deep knowledge of observational causal inference methods.
• Strong background in statistics methodology, applications to business problems, and/or big data.
• Ability to work in a fast-paced business environment.
• Strong research track record.
• Effective verbal and written communications skills with both economists and non-economist audiences.

Responsibilities

• Develop econometric models using large data sets.
• Apply econometrics to key business problems across Amazon businesses.
• Contribute to the design of automated systems around the company.
• Collaborate with cross-functional teams embedded within a business unit or central science organization.

Skills

Observational causal inference

Statistics methodology

Communication skills

Fast-paced environment

Research track record

Education

PhD in Economics/related field

Job description

Amazon.com Services LLC is seeking an economist to develop econometric models using large datasets and apply quantitative methods to a range of business problems across AWS, retail, and operations. You will work with scientists, economists, and engineers in a fast-paced environment to deliver insights that shape strategy.

The role emphasizes econometric theory, empirical analysis, and the development of automated analytics tools to inform decision making at scale.