Amazon Talent Acquisition operations is looking to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy
Requirements
- 5+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- PhD, or Master's degree and 5+ years of quantitative field research experience
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Knowledge of R or Python
- 5 years of relevant experience in applied selection practices, job analysis, test development, and validation
- PhD in Industrial-Organizational Psychology or related field
- Experience applying machine learning and artificial intelligence approaches to selection and assessment research
Responsibilities
- 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
- Perform complex statistical/quantitative analyses with large datasets
- Influence executive project sponsors and stakeholders across the company
- Drive effective teamwork, communication, collaboration, and commitment across cross-functional groups with competing priorities
Other
- 5+ years of experience
- PhD, or Master's degree
- Strong internal consulting skills and a track record of influencing stakeholders
- Ability to work with cross-functional teams
- Disability accommodation and adjustment during the application and hiring process
