Drimva

OpenAI

People Research Scientist

$170K–$220K

San Francisco · Full-time · Posted Aug 25, 2026

Education
Advanced degree in a listed or related field preferred; no minimum education requirement stated.

About the job

Designs and evaluates People programs using rigorous research, measurement, experimentation, and data science to inform talent decisions and improve employee experiences.

What you'll do

  • Design research and evaluation strategies for recruiting, organizational health, manager effectiveness, employee experience, and talent outcomes.
  • Apply statistical modeling, machine learning, and research methods; build scalable people science tools, datasets, and analytical workflows.
  • Partner with People and technical teams to establish data quality, governance, documentation, and privacy practices; communicate findings to leaders.

What they ask for

  • Expertise in research design, experimentation, measurement, causal inference, and statistical modeling, including hands-on experience with relevant methods such as psychometrics, survey methodology, and experimental designs.
  • High proficiency in R or Python and SQL, and experience with complex datasets.
  • Experience building measurement systems, research programs, data products, reusable analytics frameworks, self-service tools, and governed analytical workflows.
  • Ability to communicate complex methods and exercise sound judgment with sensitive employee data, including privacy, fairness, and bias.

Nice to have

  • Experience evaluating AI-assisted workflows, algorithmic systems, and human-AI decision processes.
  • Advanced degree in a related field, including Industrial-Organizational Psychology, Organizational Behavior, Statistics, Economics, or Data Science.

Pay

$170K – $220K USD base salary

Tools

R, Python, SQL

AI focus

Applies machine learning and builds self-service agentic tools; preferred experience includes evaluating AI-assisted workflows, algorithmic systems, and human-AI decision processes.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)