People Data Scientist - AI Fairness & Bias Expert

OpenAI; San Francisco (CA); On-site; USD 198,000 - 220,000; Full time

Job summary

OpenAI is seeking a People Data Scientist focused on AI fairness and bias testing to establish evaluation strategies for AI-assisted People systems across hiring, performance, promotion, and development processes. You will design audits, analyze disparities, and translate findings into concrete mitigations for senior leaders.

You will collaborate with engineering, People Operations, Legal, Privacy, Security, and executive stakeholders, building scalable fairness-evaluation pipelines and

Qualifications

• Deep expertise in algorithmic fairness, bias measurement, responsible AI, or evaluation of high-impact decision systems.
• Exceptional strength in research design, measurement, experimentation, causal inference, and statistical modeling.
• Hands‑on experience with subgroup/intersectional analysis, adverse‑impact testing, demographic‑parity, calibration analysis, and validation studies.

Responsibilities

• Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring.
• Design rigorous algorithmic audits and validation studies, including adverse-impact analysis and calibration.
• Identify appropriate fairness criteria for each use case and document assumptions, limitations, and residual risks.
• Evaluate end-to-end human-AI decision systems, including model outputs, user behavior, and escalation pathways.
• Develop evaluation approaches for generative and agentic AI, including test-set design and counterfactual testing.
• Investigate sources of observed disparities and advocate mitigations like data improvements or threshold changes.
• Build scalable fairness-evaluation infrastructure, including datasets, pipelines, and monitoring tools.
• Establish research standards for fairness test plans, model documentation, and monitoring plans.

Skills

Algorithmic fairness

Bias measurement

Applied statistics

Causal inference

Experimental design

Measurement validity

Education

Advanced degree in Quantitative Psychology, CS, Stats, Econ, Data Science, Behavioral Science

Tools

Python

R

SQL

Fairlearn

AI Fairness 360

Job description

OpenAI is seeking a People Data Scientist focused on AI fairness and bias testing to establish evaluation strategies for AI-assisted People systems across hiring, performance, promotion, and development processes. You will design audits, analyze disparities, and translate findings into concrete mitigations for senior leaders.

You will collaborate with engineering, People Operations, Legal, Privacy, Security, and executive stakeholders, building scalable fairness-evaluation pipelines and