Economist (HR Central Science)

Job ID: 1425343 | Amazon.com Services LLC

DESCRIPTION

The Human Resources Central Science Team (HRCS) is a newly-formed, central team that uses data-driven methods to identify, measure and deploy mechanisms that support Amazon’s workforce – from skills development to new, meaningful, and impactful employee benefits. We are an interdisciplinary team that combines the talents of economics and engineering to develop and deliver solutions that measurably improve the well-being of Amazonians.

We are looking for an economist with expertise in applying causal inference, experimental design, or causal machine learning techniques to topics in labor, personnel, education, health, public, or behavioral economics. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact.

Candidates will work with economists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business and its workforce. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.

You will conduct, direct, and coordinate all phases of research projects, including defining key research questions, developing models, designing and implementing appropriate data collection methods, executing analysis plans, and communicating results. You will earn trust from our business partners by collaborating with them to define key research questions, communicate scientific approaches and findings, listen to and incorporate their feedback, and deliver successful solutions.

BASIC QUALIFICATIONS

· PhD in economics, finance, quantitative marketing, or related field
· Experience in one or more of the following methods: reduced-form causal analysis, experimental design, survey design and implementation, causal machine learning
· Experience in one or more of the following research areas: labor economics, personnel economics, education economics, health economics, public economics, behavioral economics

PREFERRED QUALIFICATIONS

· Advanced coding ability in a scripting language such as STATA, R, and/or Python
· Proven track record in research and solution of business problems leveraging techniques from economics
· Thinks strategically and demonstrates tactical execution
· Effective verbal and written communications skills