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OpenAI's People Analytics team is seeking a People Research Scientist to design and execute rigorous research studies that inform talent decisions and organizational effectiveness. This high-ownership individual contributor role combines hands-on research methodology, statistical analysis, and applied data science to evaluate recruiting processes, organizational health, manager effectiveness, and employee experience.
You will design rigorous research and evaluation strategies using advanced statistical modeling, machine learning, and experimental methods. Key responsibilities include partnering with People Operations and data engineering teams to define data requirements, improve data quality, and ensure research datasets are governed and privacy-preserving. You'll build scalable people science infrastructure, including self-service tools, automated validation workflows, and reusable analytical pipelines. You'll also develop research playbooks establishing standards for study design, measurement, and documentation.
Required qualifications include deep expertise in research design, experimentation, measurement, and causal inference. You should have hands-on experience with psychometrics, survey methodology, structural equation modeling, multilevel modeling, randomized controlled experiments, A/B testing, quasi-experimental design, and validation studies. High proficiency in R or Python and SQL is essential, along with experience working across complex datasets. You must be able to communicate complex methods clearly to senior leaders and non-technical audiences, with sound judgment in handling sensitive employee data.
Preferred qualifications include experience evaluating AI-assisted workflows and algorithmic systems in operational contexts, and an advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Quantitative Psychology, Behavioral Economics, Statistics, Economics, Data Science, or related field.
The role is based in San Francisco or Mountain View with occasional travel to the San Francisco office.
