The Amazon Leadership Experiences (ALX) team helps Amazonians build rewarding careers. We build smart products that help people make better decisions when managing large groups of employees.
As a survey scientist you will you will design and carry out surveys to address business questions; analyze survey and other forms of data with regression models; perform weighting and multiple imputation to reduce bias due to nonresponse. You will conduct methodological and statistical research to understand the quality of survey data. You will work with economists engineers and computer scientists to select samples draft and test survey questions calculate nonresponse adjusted weights and estimate regression models on large scale data. You will evaluate diagnose understand and surface drivers and moderators for key research streams including (but are not limited to) attrition engagement productivity inclusion and Amazon culture.
Key job responsibilities Design a scalable global content development and validation strategy to drive more effective decisions and improve the employee experience across all of Amazon
Conduct psychometric and econometric analyses to evaluate integrity and practical application of survey questions and data
Identify research streams to evaluate how to mitigate or remove sources of measurement error
Drive effective collaborations across multi-disciplinary research and product teams
Manage full life cycle of large-scale research programs (Develop strategy gather requirements manage and execute)
- 3 years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience - PhD or Masters degree and 5 years of quantitative field research experience - Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc. - Experience communicating qualitative research methods and findings to non-qualitative researchers
- Experience converting research studies into tangible real-world changes - Experience applying machine learning and predictive models to forecasting data mining feature selection for regression and/or causal models - 5 years of experience conducting large-scale applied research studies - Experience conducting statistical inference hypothesis testing and fitting ML predictive models using large administrative and survey databases - Experience developing and validating survey measures or assessments - Advanced Statistics (longitudinal data analysis factor analysis IRT causal analysis HLM cluster analysis or SEM/Path Analysis) - Experience leading research projects with multiple stakeholders - Domain expertise in researching work-related behavior - Experience providing thought leadership and consultation - Demonstrable experience in two or more of the following areas (multiple preferred): sample design conjoint surveys data wrangling nonresponse adjustment survey weighting causal analysis experimental design multiple imputation
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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