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.
