OpenAI•26 days ago
People Research Scientist
Recruiter Fit Breakdown & Candid Summary
1
This is a high-level individual contributor role for an expert in People Analytics, I-O Psychology, or Behavioral Economics.
2
The ideal candidate bridges the gap between rigorous academic research methods and scalable, automated data infrastructure.
3
Candidates without strong proficiency in R or Python and SQL, or those lacking experience in experimental design and causal inference, should not apply.
4
This role is best suited for someone who thrives in ambiguous environments and can translate complex statistical findings into executive-level strategy.
Role Responsibilities
- 1Design rigorous research and evaluation strategies for recruiting, organizational health, and employee experience.
- 2Apply advanced statistical modeling, machine learning, and causal inference to quantify business impact.
- 3Partner with data engineering to establish governed, reproducible, and privacy-preserving research datasets.
- 4Build scalable people science infrastructure, including self-service tools and automated validation workflows.
- 5Develop research playbooks to standardize measurement and documentation across the organization.
- 6Communicate complex research findings and tradeoffs to senior leadership.
Skills Matrix
Must-Have Skills
Research Design(experimental design)
Statistical Modeling(statistics)
General Competency
Python
SQL
Causal Inference
Psychometrics
Survey Methodology
Nice-to-Have Skills
Machine Learning(ML)
Industrial-Organizational Psychology(I-O Psychology)
Behavioral Economics
AI Model Evaluation
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