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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.
Job Responsibility:
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
Conduct validation research for top-of-funnel AI-based evaluation tools
Develop and implement novel research strategies using the latest technology
Build solutions while experiencing Amazon’s customer-focused culture
Work with diverse groups of people and inter-disciplinary cross-functional teams to solve complex business problems
Requirements:
Master's degree, or a PhD and experience in quantitative field research
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
5+ 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)
Nice to have:
Experience in English-language communication skills, both written and verbal
PhD in Industrial/Organizational Psychology or related field
Familiarity with using GenAI tools and Large Language Models (LLMs) in personnel selection research
Experience developing and maintaining global hiring assessments
Strong consulting skills and a track record of influencing stakeholders
Experience conducting experimental research studies in an industry environment
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