Amazon · 2 months ago
Senior Research Scientist, Intelligent Talent Acquisition
Arlington, Virginia, USA
Full-time
Onsite
Senior Level
$143K/yr - $248K/yr
5+ years expAmazon is a leading company in the field of technology and human resources, seeking a Senior Research Scientist for their Intelligent Talent Acquisition team. The role focuses on designing large-scale personnel selection research, analyzing data to optimize candidate evaluation processes, and collaborating with stakeholders to enhance Amazon's talent acquisition practices.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Required
3+ 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
Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
5+ years of experience in applied selection research, job analysis, test development, and validation
Preferred
Experience making business recommendations and influencing stakeholders
Knowledge of quantitative data analysis and statistics
PhD in Industrial/Organizational Psychology or related field
Familiarity with using GenAI tools and Large Language Models (LLMs) in personnel selection research
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
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 CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-11
Company data provided by crunchbase