People Data Scientist

Details

As a People Data Scientist, you will bring deep expertise in research science, measurement, and experimentation to OpenAI’s People programs. You will design studies, evaluate people processes, build research frameworks, and help leaders understand how to empower employees, strengthen organizational systems, and deliver exceptional employee experiences. This role is based in San Francisco, CA and uses a hybrid work model (3 days in office per week). Relocation assistance is offered to new employees.

Responsibilities

• Design rigorous research and evaluation strategies for organizational health, manager effectiveness, employee experience, and talent outcomes.
• Conduct fairness, adverse impact, validity, reliability, calibration, and measurement-invariance analyses for high-stakes People processes and AI-assisted workflows.
• 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 tools, automated validation workflows, reusable research datasets, and analytical pipelines.
• Develop research playbooks establishing standards for study design, measurement, validation, and documentation to enable repeatable, scalable research.
• Communicate findings through concise, executive-ready narratives.

Requirements

• Exceptional strength in research design, experimentation, measurement, causal inference, and statistical modeling.
• 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; experience working with complex, messy 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 tradeoffs clearly to senior leaders, technical partners, and non-technical audiences.

Preferred qualifications

• Experience evaluating AI-assisted workflows, algorithmic systems, and human-AI decision processes in operational contexts, including familiarity with model evaluation methods.
• Advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Quantitative Psychology, Behavioral Economics, Statistics, Economics, Data Science, or a related field; PhD preferred.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety and human-centered deployment and is an equal opportunity employer.

Compensation & Benefits

• Base pay range listed: $198,000 – $260,000 (offers equity).
• Benefits include medical, dental, and vision insurance; employer contributions to Health Savings Accounts; retirement plan with employer match; paid parental and caregiver leave; paid time off; paid company holidays and office closures; mental health and wellness support; employer-paid basic life and disability coverage; annual learning and development stipend; daily meals in offices and meal delivery credits; relocation support for eligible employees; and additional taxable fringe benefits (e.g., charitable donation matching, wellness stipends).