Research Scientist, Global Hiring Science (GHS) jobs in United States
cer-icon
Apply on Employer Site
company-logo

Amazon · 1 day ago

Research Scientist, Global Hiring Science (GHS)

Amazon is a leading global company focused on reinventing the hiring process through Intelligent Talent Acquisition (ITA). The GHS Research Scientist role involves designing large-scale personnel selection research, applying advanced statistical techniques, and collaborating with stakeholders to enhance talent measurement and drive hiring excellence.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
check
H1B Sponsor Likelynote

Responsibilities

Design large-scale personnel selection research that shapes Amazon’s global talent assessment practices across a variety of topics (e.g., assessment validation, measuring post-hire impact)
Partner with key stakeholders to create innovative solutions that blend scientific rigor with real-world business impact while navigating complex legal and professional standards
Apply advanced statistical techniques to analyze massive, diverse datasets to uncover insights that optimize our candidate evaluation processes and drive hiring excellence
Explore emerging technologies and innovative methodologies to enhance talent measurement while maintaining Amazon's commitment to scientific integrity
Translate complex research findings into compelling, actionable strategies that influence senior leader/business decisions and shape Amazon's talent acquisition roadmap
Write impactful documents that distill intricate scientific concepts into clear, persuasive communications for diverse audiences, from data scientists to business leaders
Ensure effective teamwork, communication, collaboration, and commitment across multiple teams with competing priorities

Qualification

PhDMaster's degreeQuantitative research experienceApplied selection researchData analysisScripting for data analysisExperimental research studiesConsulting skillsCommunication skillsOrganizational skillsTime management skills

Required

PhD, or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
2+ 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)

Preferred

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 in an industry environment
Excellent written and oral communication skills
Strong quantitative analytical abilities
Strong organizational and time management skills

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

leader-logo
Douglas J. Herrington
CEO, Worldwide Amazon Stores
linkedin
leader-logo
Werner Vogels
VP & CTO
linkedin
Company data provided by crunchbase