Amazon's Amazon Leadership Experience (ALX) Science builds science models supporting employee career-related experiences, such as evaluation, learning and development, onboarding, and promotion for Amazonians. The team conducts experiments for a wide range of employee and talent-related product features and measures the impact of product and program initiatives in enhancing our employees' career experiences at Amazon.
Amazon's ALX team is looking for economists highly specialized in the field of micro-econometrics and causal inference who can work at the intersection of economics, statistics, and machine learning, and engage in building advanced experimentation and evaluation capabilities that address the nuances of policy evaluation in complex settings.
Key job responsibilities
The economists within ALX focus on enhancing causal evaluation, measurement, and experimentation tasks to ensure various science integrations and interventions achieve their goals in building more rewarding careers for our employees. The economists develop and implement complex randomization designs that address the nuances of experimentation in complex settings where multiple populations interact. Additionally, they engage in building a range of econometric models that surface various proactive and reactive inspection signals, aiming toward better alignment in the implementation of talent processes. The economists closely collaborate with scientists from diverse backgrounds, as well as program and product leaders, to implement and assess science solutions in our products.PhD in economics or equivalent
Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical softwareExperience in a postdoctoral position, consulting position, government position or academic research
Experience with SQL
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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
