Economist I
Amazon
Job Overview
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Job Description
Economist I at Amazon
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. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.
Role Overview
Economists at Amazon partner closely with senior management, business stakeholders, scientists and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond.
Key Responsibilities
- Build econometric models using our world class data systems.
- Apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields.
- 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.
- Develop techniques that apply econometrics to large data sets.
- Address quantitative problems.
- Contribute to the design of automated systems around the company.
Basic Qualifications
- PhD in Economics, Quantitative Marketing, Finance, or closely related field.
Preferred Qualifications
- 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.
Compensation & Benefits
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,000/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.
Equal Opportunity & Accommodations
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Key skills/competency
- Econometric Modeling
- Quantitative Analysis
- Big Data
- Applied Microeconomics
- Time Series Analysis
- Statistical Methodology
- Empirical Industrial Organization
- Pricing Analysis
- Strategic Thinking
- Automated Systems Design
How to Get Hired at Amazon
- Research Amazon's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight your PhD, econometric modeling experience, big data skills, and domain expertise relevant to Amazon's diverse businesses.
- Showcase quantitative abilities: Prepare to discuss complex econometric theory, statistical methods, and applied micro/macro economics with real-world examples.
- Prepare for technical interviews: Expect rigorous questions on model estimation, data analysis, experimental design, and quantitative problem-solving.
- Demonstrate business acumen: Articulate how economic principles and your research can address Amazon's business challenges in areas like pricing, inventory, or labor.
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