Palo Alto People Science Team Internship-PAID

Description

The Palo Alto People Science Team Internship is open to students currently enrolled in a PhD program (second year or later) in industrial-organizational psychology, organizational behavior, computational social science, quantitative psychology, or a related field. To be considered for this role, you should have strong foundations in measurement theory, research design, and an inferential framework (e.g., regression, multilevel modeling, psychometrics) as well as fluency in Python or R for research workflows, automations, and statistical modeling or machine learning. You should also have a proven track record of translating complex people data into actionable insights (e.g., published research, whitepapers, or previous internships). As an intern, you will build and validate LLM-driven workflows for producing behavioral assessments or work-sample tests, focusing on construct validity and measurement equivalence. You will design and create parameterized, reproducible reporting frameworks to replace manual analytics reporting of our workforce data and own and lead 1-2 discrete projects from conception to final delivery, scoped around your area of expertise. This internship is offered in Santa Clara, CA.