Economist I — Quantitative Problem Solver (Japan)

Amazon

Austin (TX)

On-site

USD 129,000 - 175,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. Economists at Amazon partner with senior management and engineers to solve business problems using econometric models and large data systems.

You will work in a fast-paced environment on cross-functional teams or a central science organization. The position requires a PhD in Economics or closely related field, with deep causal inference and strong

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 with both economists and non-economist audiences.

Responsibilities

  • Develop econometric models using large data sets to address key business problems.
  • Apply econometric techniques to areas like retail, pricing, and labor planning across business units.
  • Collaborate with cross-functional teams and senior leadership to implement analytical solutions.

Skills

Econometrics
Statistical analysis
Research experience

Education

PhD in Economics/Quantitative Marketing/Finance or closely related field

Job description

Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. Economists at Amazon partner with senior management and engineers to solve business problems using econometric models and large data systems.

You will work in a fast-paced environment on cross-functional teams or a central science organization. The position requires a PhD in Economics or closely related field, with deep causal inference and strong

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