About the Role

This senior research scientist role focuses on developing AI-driven solutions for Amazon's talent acquisition processes. You'll work on state-of-the-art research, machine learning algorithms, and AI systems to transform hiring at scale. The position involves designing AI-powered systems for job analysis, candidate matching, and validation research.

Key Responsibilities

• Design and develop AI-powered systems for enterprise-wide job analyses
• Match potential candidates to jobs they'll be most successful in
• Conduct validation research for AI-based evaluation tools
• Develop and implement novel research strategies using latest technology
• Work with cross-functional teams to solve complex business problems

Required Skills & Qualifications

Must Have:

• PhD or Master's degree in quantitative field research
• Knowledge of R or Python
• Experience communicating qualitative research methods to non-qualitative researchers
• Experience investigating feasibility of applying scientific principles to business problems
• Experience in applied selection research, job analysis, test development, and validation

Nice to Have:

• Experience converting research studies into tangible real-world changes
• Knowledge of AWS platforms (S3, Glue, Athena, Sagemaker)
• Experience with big data technologies (AWS, Hadoop, Spark, Pig, Hive)
• PhD in Industrial/Organizational Psychology or related field