Principal Research Scientist

Job description

DESCRIPCIÓN

Are you passionate about conducting measurement research and experiments to assess and evaluate talent? Would you like to lead a research team and see your research in products that will drive key behaviors at scale to improve the employee experience and raise the bar of talent at Amazon? If so, you should consider joining the Global Talent Management (GTM) Science Organization.

Amazon GTM Science is an innovative organization that exists to propel Amazon HR towards being the most scientific HR organization on earth. The GTM Science mission is to use Science to assist and measurably improve every talent decision made at Amazon. We do this by discovering signals in workforce data, deploying statistical models into Amazon’s talent products, and guiding the broader GTM team to pursue high-impact opportunities with tangible returns. This multi-disciplinary approach spans capabilities, including: data engineering, reporting and analytics, research and behavioral sciences, and applied sciences such as economics and machine learning.

We are seeking a principle lead scientist with deep quantitative expertise developing assessment and validating measures (assessments, performance evaluations, and surveys) to lead a team to evaluate talent at Amazon. This person will possess knowledge of different measurement approaches to evaluate performance, a strong psychometrics background, scientific survey methodology, validation, adverse impact analysis, and experience developing legally defensible talent evaluation programs. In this role you will:

· Lead a team and develop a global research strategy and program on how to more effectively evaluate talent
· Conduct and oversee psychometrics analyses to evaluate integrity and practical application of different methods
· Develop and iterate on testing, experimenting, and evaluating content prior to global launch
· Identify research streams to evaluate how to mitigate or remove sources of measurement error
· Partner closely and drive effective collaborations across multi-disciplinary research and product teams
· Manage full life cycle of large scale research programs