About the Role

Research Scientist role in Intelligent Talent Acquisition at Amazon, focusing on designing large-scale personnel selection research and innovative hiring solutions. Responsibilities include applying advanced statistical techniques to analyze datasets and translating research findings into actionable strategies. The role requires a PhD or Master's with 4+ years of quantitative research experience and expertise in selection research and data analysis.

Key Responsibilities

• Design large-scale personnel selection research shaping global talent assessment practices
• Partner with stakeholders to create innovative solutions blending scientific rigor with business impact
• Apply advanced statistical techniques to analyze massive datasets and optimize candidate evaluation
• Translate complex research findings into actionable strategies influencing senior leader decisions
• Write impactful documents distilling scientific concepts for diverse audiences

Required Skills & Qualifications

Must Have:

• PhD, or Master's degree and 4+ years of quantitative field research experience
• Experience investigating feasibility of applying scientific principles to business problems and products
• Knowledge of data analysis languages (e.g., R, Stata, Python) or other statistical software
• 2+ years of experience in applied selection research, job analysis, test development, and validation

Nice to Have:

• 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 & Perks

• Base pay ranging from $136,000 to $212,800/year depending on geographic market
• Equity, sign-on payments, and other forms of compensation as part of total compensation package
• Full range of medical, financial, and/or other benefits