Amazon Talent Acquisition operations needs to reinvent the hiring process to deliver unprecedented scale, sophistication, and accuracy. The Global Hiring Science team aims to design and implement innovative hiring solutions at scale, using research to solve complex problems and build scalable hiring products that deliver measurable impact to customers.
Requirements
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- 2+ years of experience in applied selection research, job analysis, test development, and validation
- Foundational skills in conducting experimental research studies and data analysis
- Proficiency in scripting for data analysis (e.g., R, Python)
- PhD in Industrial/Organizational Psychology or related field
- Familiarity with using GenAI tools and Large Language Models (LLMs) in personnel selection research
Responsibilities
- Design large-scale personnel selection research that shapes Amazon’s global talent assessment practices across a variety of topics (e.g., assessment validation, measuring post-hire impact)
- Apply advanced statistical techniques to analyze massive, diverse datasets to uncover insights that optimize our candidate evaluation processes and drive hiring excellence
- Explore emerging technologies and innovative methodologies to enhance talent measurement while maintaining Amazon's commitment to scientific integrity
- Translate complex research findings into compelling, actionable strategies that influence senior leader/business decisions and shape Amazon's talent acquisition roadmap
- Write impactful documents that distill intricate scientific concepts into clear, persuasive communications for diverse audiences, from data scientists to business leaders
- Design new hiring solutions and experiment with measurement methods intended to precisely define exactly what job success looks like and how best to predict it
- Conducting experimental research studies and data analysis
Other
- Partner with key stakeholders to create innovative solutions that blend scientific rigor with real-world business impact while navigating complex legal and professional standards
- Ensure effective teamwork, communication, collaboration, and commitment across multiple teams with competing priorities
- Strong consulting skills and a track record of influencing stakeholders
- Excellent written and oral communication skills
- Strong organizational and time management skills
