The opportunity
OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make better, evidence-based talent decisions.
What you'll do
Design rigorous research and evaluation strategies for recruiting,: organizational health, manager effectiveness, employee experience, and talent outcomes.
Apply advanced statistical modeling, machine learning, and research methods: to inform program design, evaluate effectiveness, and quantify business impact.
Partner with People Operations, data engineering, and people systems teams to: define data requirements, improve data quality, establish documentation standards, and ensure research datasets are governed, reproducible, and privacy-preserving.
Build scalable people science infrastructure, including self-service agentic: tools, automated validation workflows, reusable research datasets and analytical pipelines.
Develop research playbooks that establish rigorous standards for study: design, measurement, validation, and documentation, enabling high-quality, repeatable, and scalable research across the organization.
Communicate findings through concise, executive-ready narratives.
What they're looking for
- Deep curiosity, strong attention to detail, and passion for solving ambiguous: and complex problems with creativity.
- Exceptional strength in research design, experimentation, measurement, causal: inference, and statistical modeling, including hands-on experience with psychometrics, survey methodology, structural equation modeling, multilevel modeling, randomized controlled experiments, A/B testing, quasi-experimental design, validation studies, and machine learning evaluation.
- High proficiency in R or Python and SQL, with experience working across complex, messy datasets.
- Experience building measurement systems, research programs, data products,: reusable analytics frameworks, self-service tools, and governed analytical workflows.
