Amazons Amazon Leadership Experience (ALX) Science builds science models supporting employee careerrelated experiences such as evaluation learning and development onboarding and promotion for Amazonians. The team conducts experiments for a wide range of employee and talentrelated product features and measures the impact of product and program initiatives in enhancing our employees career experiences at Amazon.
Amazons ALX team is looking for economists highly specialized in the field of microeconometrics 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 software
Experience 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.
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