Economist I: Data-Driven Market Insights

Amazon; New York (NY); On-site; USD 142,000 - 192,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k)

Job summary

Amazon.com is seeking an economist to build econometric models using large-scale data and apply macro/time series, micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields within a cross-functional team.

You will work in a fast-moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization.

Qualifications

• PhD in Economics, Quantitative Marketing, Finance, or closely related field.
• Deep knowledge of econometric analysis of models that involve the estimation of fundamental preferences and strategic effects.
• Strong background in statistics methodology, applications to business problems, and/or big data.
• Experience conducting analysis of pricing, competition, labor decisions, health care outcomes, auctions, marketing strategies, advertising, contract design, and game theory.
• 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 techniques for large data sets and address quantitative problems.
• Contribute to the design of automated analytical systems across the company.
• Work within cross-functional teams embedded in a business unit or central science organization.

Skills

Econometrics

Statistics

Communication

Pricing analysis

Market analysis

Education

PhD in Economics or closely related field

Job description

Amazon.com is seeking an economist to build econometric models using large-scale data and apply macro/time series, micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields within a cross-functional team.

You will work in a fast-moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization.