The Amazon Supply Chain Optimization Technology (SCOT) organization is looking for an experienced and motivated Sr. Economist to work on exciting and challenging problems related to Amazon's worldwide inventory planning. SCOT provides unique opportunities to both create and see the direct impact of your work on billions of dollars’ worth of inventory, in one of the world’s most advanced supply chains, and at massive scale.
As a Sr. Economist in our team, your work will help Amazon provides the best customer experience on inventory availability, selection and delivery speed worldwide. You will build large-scale econometric models using our world-class data systems and state-of-the-art cloud computing technologies. You will collaborate with some of the brightest economists, scientists and software engineers to address high-impact business problems and contribute to the design of automated systems with global reach.
Key job responsibilities
- Applies expertise in causal modeling to develop large-scale systems that are deployed across the company. Reviews and audits modeling processes and results for other scientists, both junior and senior.
- Describes strategic importance of vision inside and outside of team. Identifies business opportunities, define the problem and roadmap to solve it. Brings a department or company-wide perspective in decision making.
- Leads the project plan from a scientific perspective on small to medium product launches including identifying potential risks, key milestones, and paths to mitigate risks
- Sets and balances goals across team to optimize performance against department goals and employee development. Identifies resource needs for the team.
- PhD in Economics, Quantitative Marketing, Finance, or closely related field.
- Experience in either a postdoctoral position, consulting, government or academic research.
- Applicants with considerably more experience, including mid-career, are also strongly encouraged.
- Strong background in econometrics (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, and quantitative 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 skills.
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