Senior Research Scientist, Global Hiring Science
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Very high valuation due to the strategic importance of enhancing Amazon's hiring processes with AI, promising growth and industry relevance.
- Lead transformation in Amazon’s hiring strategies
- Collaborate with top experts on innovative hiring technology
- Opportunity for substantial professional development
- Requires robust experience in research and analytics
Pros
- Transform the way Amazon hires through innovative technology
- Significant influence over global hiring practices
- Strong focus on professional development within a leading tech company
Cons
- Requires advanced understanding of psychometrics and research
- Demands high collaboration across interdisciplinary teams
- May face pressure from major hiring initiatives
Who it's for
Senior • Hybrid
Good fit
- Senior researchers in talent analytics
- Data-driven professionals focused on personnel selection
- Experts wanting to lead in innovative hiring methodologies
Not recommended for
- Newcomers without relevant research experience
- Those who prefer non-collaborative work environments
- Individuals uncomfortable with intense analytical requirements
Motivation fit
Key skills
About the job
Description
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.
Within ITA, Global Hiring Science owns and develops products and services using Artificial Intelligence (AI) and Machine Learning that enhance recruitment. We collaborate with engineers to build and maintain AI solutions for hiring, offering opportunities to develop, validate, and deploy cutting-edge selection tools that drive positive impact.
Key job responsibilities
As a science lead, you'll be at the forefront of reinventing how we understand and improve the hiring experience for all involved. We're looking for an experienced assessment and personnel selection scientist who is equal parts researcher, consultant, and thought leader, with strong expertise in psychometrics, research methodology, and AI application. In this role, you will collaborate with cross-functional teams to drive research, development, and implementation of innovative hiring technology, evaluation tools, approaches, and methods. Your work will directly contribute to Amazon's ability to fairly and precisely connect the right people to the right jobs, impacting millions of candidates and employees worldwide.
What you’ll do:
* Design and execute large-scale, highly-visible global research, validation, and hiring optimization projects.
* Solve complex, ambiguous measurement, legal defensibility, and experimental design challenges.
* Lead the development and research of new content and AI-based approaches to assessment (e.g., high fidelity simulation, interactive item types, constructed response).
* Apply the scientific method to answer novel research questions.
* Influence executive project sponsors and stakeholders across the company.
* Drive effective teamwork, communication, collaboration, and commitment across cross-functional groups with competing priorities.
* Perform complex statistical/quantitative analyses with large datasets.
