Sr. Research Scientist, Talent Assessment

Job ID: 1164486 | Amazon.com Services LLC

DESCRIPTION

Amazon’s Talent Assessment team designs and implements hiring systems for one of the world’s fastest growing companies. We work in a data-focused, global environment solving complex problems with deep thought, large-sample research, and advanced quantitative methods to deliver practical solutions that make hiring more fair, accurate, and efficient.

We're looking for an experienced assessment and personnel selection scientist who is equal parts researcher, consultant, and thought leader, with strong expertise in psychometrics, research methodology, and data analysis. In this role, you will collaborate with cross-functional teams of psychologists, ML scientists, UX researchers, engineers, and product managers, to direct the research, development, and implementation of new assessment methods to measure exactly what it requires to be an engaged and successful employee at Amazon.

What you’ll do:
· Lead the development and research of new content and approaches to assessment (e.g., high fidelity simulation, non-cognitive computer adaptive testing, interactive item types)
· Design and execute large-scale, highly-visible global assessment validation and optimization projects
· Develop assessment content, including personality, cognitive ability, and simulations
· Perform complex statistical/quantitative analyses with large datasets
· Apply the scientific method to answer novel research questions
· Influence executive project sponsors and stakeholders across the company
· Drive effective teamwork, communication, collaboration and commitment across cross-functional groups with competing priorities

BASIC QUALIFICATIONS

· PhD or equivalent Master's degree plus 5+ years of research experience in a quantitative field
· 3+ years experience investing the feasibility of applying scientific principals and concepts to business problems and products

PREFERRED QUALIFICATIONS

· Ph.D. in Industrial and Organizational Psychology, Applied Experimental Psychology, Quantitative Psychology, Educational Measurement, or related field
· 6+ years of work experience in assessment design, quantitative analysis, and global research
· Proficient in at least one statistical analysis tool (e.g., R, SPSS, or SAS)
· Experience applying ML and related approaches to the assessment domain
· Proven skills in directing or conducting publication-quality experimental research
· Substantial experience working closely with technology and other cross-functional teams
· Excellent written and oral communication skills
· Strong consulting skills and a track record of influencing stakeholders