Evan Sinar, PhD, is Senior Research Scientist for Global Hiring Science at Amazon, where he conducts research on and builds products for behavioral evaluation and hiring decision making across Amazon’s corporate roles. In this work, he uses a range of analytical approaches, with generative AI a recent focus. He has designed end-to-end hiring systems for GenAI builder roles and delivered both internal and external learning sessions on GenAI model selection, prompt engineering, and use case alignment, to multidisciplinary customer groups. His Amazon roles have also included leading global, mixed-methods research on candidate experience, employee value proposition, and employment branding. He partners across the business to design and implement products, programs, and processes to optimize hiring effectiveness and candidate experience. Evan is a frequent author on topics such as AI, future of work, HR analytics, digital coaching, candidate reactions, and technology-enabled assessment. He is a Fellow of SIOP and has served terms on the SIOP Executive Board as Financial Officer and Conferences & Programs Officer.
