Sr. Research Scientist

Amazon.Com, Inc. Seattle , WA 98113

Posted 2 weeks ago

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Are you passionate about conducting measurement research and experiments to assess and evaluate talent? Would you like to 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 measurement Scientists with deep quantitative expertise developing assessment and validating measures (assessments, performance evaluations, and surveys) 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 the global research strategy developing and experimenting on how to evaluate talent
Conduct 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 program
MA in Quantitative Methods, Quantitative Policy Analysis, Assessment & Measurement, IO Psychology
5 years of experience developing assessment and performance evaluations
Advanced Statistics (Factor Analysis, Item Analysis, Adverse Impact Analysis, IRT, Regressions, MLM, SEM, HLM)
Strong programming skills in at least one statistics program (R, SAS, Stata, Python, SPSS)
Proficiency managing, merging, and manipulating large datasets
Proficient communications (written and verbal) of technical information for non-technical audience
Experience partnering engineers and tech to implement science solutions into product
Strong organizational skills, time management, and program management skills
PhD in Quantitative Methods, Quantitative Policy Analysis, Assessment & Measurement, IO Psychology5-10 years of relevant experience described above
Proficiency in R and SQL
Deep expertise in legal defensibility of assessment and performance evaluation
Experimental Research Methodology and Survey methodology
Proficiency leading complex (beginning to end) research projects with multiple stakeholders
Proven experience providing thought leadership and consultation to educate and influence key stakeholders
Experience using data to drive Talent Management Solutions
Experience demonstrating the down-stream business impact of research recommendations
Adaptable, creative, and thrives in a fast-paced work environment

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