Economist II

Economist – Forecasting, Macroeconomics & Finance

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. We hire the world’s brightest minds, offering them a fast‑paced, technologically sophisticated and friendly work environment.

Economists in the Forecasting, Macroeconomics & Finance field document, interpret and forecast Amazon business dynamics. This track is well suited for economists adept at combining time‑series statistical methods with strong economic analysis and intuition. This track could be a good fit for candidates with research experience in macroeconometrics, empirical macroeconomics, international macroeconomics, time‑series econometrics, forecasting, financial econometrics and/or empirical finance, and the use of micro and panel data to improve and validate traditional aggregate models.

Economists at Amazon are expected to work directly with our senior management and scientists from other fields on key business problems faced across Amazon, including retail, cloud computing, third‑party merchants, search, Kindle, streaming video, and operations. The Forecasting, Macroeconomics & Finance field utilizes methods at the frontier of economics to develop formal models to understand the past and present, predict the future, and identify relevant risks and opportunities.

For example, we analyze the internal and external drivers of growth and profitability and how these drivers interact with the customer experience in the short, medium and long‑term. We build econometric models of dynamic systems, using our world‑class data tools, formalizing problems using rigorous science to solve business issues and further delight customers.

• PhD in economics or equivalent

• 3+ years of industry, consulting, government, or academic research experience
• Deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models.
• 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 communication skills with both economists and non‑economist audiences.
• Advanced expertise and knowledge of econometric observational causal inference models.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include working safely and cooperatively with other employees, supervisors and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. We will consider qualified applicants with arrest and conviction records in accordance with the Los Angeles County Fair Chance Ordinance.

San Francisco Fair Chance Ordinance:
We will consider qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/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. Additional compensation may include equity, sign‑on payments, and other forms of compensation as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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