Senior Research Scientist, Intelligent Talent Acquisition

Do you want a role with deep meaning and the ability to make a major impact? 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. Together, we can solve the world’s toughest hiring problems.A Day in the Life As a Research Scientist, you will partner on design and development of AI‑powered systems to scale job analyses enterprise‑wide, match potential candidates to the jobs they’ll be most successful in, and conduct validation research for top‑of‑funnel AI‑based evaluation tools. You’ll have the opportunity to develop and implement novel research strategies using the latest technology and to build solutions while experiencing Amazon’s customer‑focused culture. The ideal scientist must have the ability to work with diverse groups of people and interdisciplinary cross‑functional teams to solve complex business problems.About the Team The Lead Generation & Detection Services (LEGENDS) organization is a specialized organization focused on developing AI‑driven solutions to enable fair and efficient talent acquisition processes across Amazon.We maintain a portfolio of capabilities such as job‑person matching, person screening, duplicate profile detection, and automated applicant evaluation, as well as a foundational competency capability used throughout Amazon to help standardize the assessment of talent interested in Amazon.Basic QualificationsMaster's degree, or a PhD and experience in quantitative field researchExperience investigating the feasibility of applying scientific principles and concepts to business problems and products5+ years of experience in applied selection research, job analysis, test development, and validationFoundational skills in conducting experimental research studies and data analysisProficiency in scripting for data analysis (e.g., R, Python)Preferred QualificationsExperience in English‑language communication skills, both written and verbalPhD in Industrial/Organizational Psychology or related fieldFamiliarity with using GenAI tools and Large Language Models (LLMs) in personnel selection researchExperience developing and maintaining global hiring assessmentsStrong consulting skills and a track record of influencing stakeholdersExperience conducting experimental research studies in an industry environmentAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and