Manager, Economist, SCOT Selection
Job summaryWe are looking for a seasoned leader to manage a talented team of economists and machine learning scientists to build long-term causal estimation products using a combination of econometrics, machine learning and statistics leveraging the power of big data. These products lay the foundation of several key initiatives and strategic program investments at Amazon, generating multiple $Bns in incremental value across the company. In this role, you will work closely with some of the leading researchers on causal inference like Guido Imbens (Professor of Economics at Stanford University) and Victor Chernozhukov (Professor of Economics at MIT).
Key Responsibilities:
· Applies deep 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·
· Coaches and gives feedback to direct reports to help develop talent and support career development·
· Sets and balances goals across team to optimize performance against department goals and employee development. Identifies resource needs for the team.
· PhD in Economics or closely related field
· PhD in Economics or related field
· Experience in a postdoctoral position; or, two or more years of experience in consulting, government or academic research
· Hands on experience with at least one of the following: Matlab, R, Python, Stata
· Strong background in econometrics (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, and quantitative methods
· Experience building and growing teams of Economists or machine learning scientists
· 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

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