What are the responsibilities and job description for the Sr. Research Scientist, Global Hiring Science position at Amazon?
DESCRIPTION
Job summary
Amazon's Global Hiring Science (GHS) team is made up of experts in industrial-organizational psychology and data science. Our mission is to improve the efficiency and effectiveness of hiring across Amazon by identifying employee characteristics required for success and developing assessments to measure those qualities. We match the right people to the right roles quickly, fairly, and with an amazing candidate experience. We work in a data-rich, global environment solving complex problems with deep thought, large-sample research, and advanced quantitative methods to deliver practical solutions that make all aspects of hiring more fair, accurate, efficient, and enjoyable.
Key job 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 development and research of new content and 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.
A day in the life
As a Sr. Research Scientist you will lead, consult on, and execute hiring research projects across technical and non-technical roles across Amazon Web Services (AWS). You will conduct applied research studies and work with cross-functional teams to design and experiment with hiring solutions that predict success within highly complex roles across AWS globally. You will be equal parts researcher, consultant, and product developer. You'll be empowered to think big and exercise bold ownership over your solutions.
About the team
We are a team of scientists, and this is an important part of our professional identities. We take our continuing education as well as our contributions to the continuing education of others seriously. We regularly look for opportunities to engage in reading groups with our peers, present at internal and external conferences, publish our work, and engage in other professional activities in support of our own or others’ development. Learn more about being a scientist at Amazon at www.amazon.science.
BASIC QUALIFICATIONS
- Master’s degree in Industrial-Organizational Psychology or related field
- 5 years of relevant experience in applied selection practices, job analysis, test development, and validation
- Foundational skills in conducting experimental research studies and data analysis
- Proficiency in at least one statistical software program (SPSS, R, SAS, etc.)
PREFERRED QUALIFICATIONS
- PhD in Industrial-Organizational Psychology or related field
- 5-10 years of relevant experience in applied selection practices, job analysis, test development, and validation
- Strong internal consulting skills and a track record of influencing stakeholders
- Proven skills in experimental research design
- Experience applying machine learning approaches to selection and assessment research
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
