Principal Economist, Stores Economics and Science
About The Position
This role will contribute to developing the Economics and Science products and services in the Fee domain, with specialization in supply chain systems and fees. Through the lens of economics, you will develop causal links for how Amazon, Sellers and Customers interact. You will be a key and senior scientist, advising Amazon leaders how to price our services. You will work on developing frameworks and scaleable, repeatable models supporting optimal pricing and policy in the two-sided marketplace that is central to Amazon's business. The pricing for Amazon services is complex. You will partner with science and technology teams across Amazon including Advertising, Supply Chain, Operations, Prime, Consumer Pricing, and Finance. We are looking for an experienced Principal Economist to improve our understanding of seller Economics, enhance our ability to estimate the causal impact of fees, and work with partner teams to design pricing policy changes. In this role, you will provide guidance to scientists to develop econometric models to influence our fee pricing worldwide. You will lead the development of causal models to help isolate the impact of fee and policy changes from other business actions, using experiments when possible, or observational data when not.
Requirements
- PhD in Economics, Computer Science, or highly related field (Statistics, Finance, Math)
- 10+ years in industry, consulting, government, or academic research
- Experience with big data and machine learning or data science
- Coding ability in a scripting language such as R or python or STATA
- Extensive Economics knowledge
- Demonstrated strength in practical and policy relevant structural econometrics
- Strong collaboration skills
- Proven ability to lead highly ambiguous and large projects
- A drive to deliver results
Nice To Haves
- Familiarity with systems and services that constitute seller supply chains
- Experience in developing and executing an analytic vision to solve business-relevant problems.
- Experience in building analytic or scientific data products or solutions.
- Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.
- Applicants with considerably more and broader, experience, are also strongly encouraged.
- Strong track record in performing high-quality analysis of data at scale.
Responsibilities
- Develop causal links for how Amazon, Sellers and Customers interact.
- Advise Amazon leaders on pricing services.
- Develop frameworks and scalable, repeatable models supporting optimal pricing and policy.
- Improve understanding of seller Economics.
- Enhance ability to estimate the causal impact of fees.
- Work with partner teams to design pricing policy changes.
- Provide guidance to scientists to develop econometric models to influence fee pricing worldwide.
- Lead the development of causal models to help isolate the impact of fee and policy changes from other business actions, using experiments when possible, or observational data when not.
- Integrate economic insights into policy and systems production.
- Work safely and cooperatively with other employees, supervisors, and staff.
- Adhere to standards of excellence despite stressful conditions.
- Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service.
- Follow all federal, state, and local laws and Company policies.
- Exercise sound judgment.
- Effectively manage stress and work safely and respectfully with others.
- Exhibit trustworthiness and professionalism.
- Safeguard business operations and the Company’s reputation.
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
