Laboratory Research Scientist

Job ID: 3112715 | Amazon.com Services LLC
As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry‑leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state‑of‑the‑art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in‑house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Within ITA, the Global Hiring Science (GHS) team designs and implements innovative hiring solutions at scale. We work in a fast‑paced, global environment where we use research to solve complex problems and build scalable hiring products that deliver measurable impact to our customers. We are seeking selection researchers with a strong foundation in hiring assessment development, legally‑defensible validation approaches, research and experimental design, and data analysis. Preferred candidates will have experience across the full hiring assessment lifecycle, from solution design to content development and validation to impact analysis. We are looking for equal parts researcher and consultant, who is able to influence customers with insights derived from science and data. Design large‑scale personnel selection research that shapes Amazon’s global talent assessment practices across a variety of topics (e.g., Partner with key stakeholders to create innovative solutions that blend scientific rigor with real‑world business impact while navigating complex legal and professional standards.
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.
Imagine diving into challenges that impact millions of employees across Amazon's global operations. As a GHS Research Scientist, you'll tackle questions about hiring and organizational effectiveness on a global scale. Your day might begin with analyzing datasets to inform how we attract and select world‑class talent. Throughout the day, you'll collaborate with peers in our research community, discussing different research methodologies and sharing innovative approaches to solving unique personnel challenges. PhD, or Master's degree and 4+ years of quantitative field research experience.
~ Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software.
~2+ years of experience in applied selection research, job analysis, test development, and validation.

Knowledge of quantitative data analysis and statistics.
PhD in Industrial/Organizational Psychology or related field.
Familiarity with using GenAI tools and Large Language Models (LLMs) in personnel selection research.
Our compensation reflects the cost of labor across several US geographic markets. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
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