Intelligent Talent Acquisition (ITA)is looking for an economist with expertise in applying causal inference experimental design or causal machine learning techniques to topics in labor or related applied economics. They will collaborate with business partners to define and deliver economic thinking that guide strategic decisions. They will work closely with data scientists and engineers to estimate and validate their models on large scale data and will help business partners turn the results of their analysis to business actions that have a major impact.
Ideal candidates will own key inputs to all stages of research projects including data requirements model development experimental design and data analysis. They will be customer-centric working closely with business partners to define key research questions communicate scientific approaches and findings listen to and incorporate partner feedback and deliver successful solutions.
Key job responsibilities
The Economist will work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions writing code to implement a DID analysis or estimate a structural model or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process from understanding their challenges to developing a research agenda that will address those challenges to help them implement solutions.
A day in the life
The Economist will work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions writing code to implement a DID analysis or estimate a structural model or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process from understanding their challenges to developing a research agenda that will address those challenges to help them implement solutions.
About the team
Do you want a role with deep meaning and the ability to make a major impact As part of Intelligent Talent Acquisition (ITA) youll have the opportunity to reinvent the hiring process and deliver unprecedented scale sophistication and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists engineers analysts product professionals and more all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity at the right location and at exactly the right time. Youll work on state-of-the-art research advanced software tools new AI systems and machine learning algorithms leveraging Amazons in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in peoples lives. Together we can solve the worlds toughest hiring problems.
- PhD in economics finance quantitative marketing or related field
- Knowledge of data analysis languages (e.g. R Stata Python etc.) or other statistical software
- Experience in a postdoctoral position consulting position government position or academic research
- Experience using SQL
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116300/year in our lowest geographic market up to $201000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.