People Research Data Scientist, AI Fairness & Bias

OpenAI
San Francisco, New York, Seattle, Washington
Workplace: HybridFull timeUSD 198,000 - 220,000 annuallyFunction: Data Science & Machine LearningSkills: ["Python","SQL","R","Data analysis","Statistics"]

We are seeking a data scientist to lead fairness and bias-testing across AI-assisted People processes, models, and decision-support systems. You will design rigorous algorithmic audits, evaluate end-to-end human-AI decision workflows, and build scalable evaluation pipelines to ensure fairness in hiring, performance, promotion, and workforce planning. Strong collaboration with engineering, legal, privacy, and operations is required to translate findings into actionable mitigations.

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FursaFursa
OpenAI
OpenAI
3 months ago

People Research Data Scientist, AI Fairness & Bias

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

We are seeking a data scientist to lead fairness and bias-testing across AI-assisted People processes, models, and decision-support systems. You will design rigorous algorithmic audits, evaluate end-to-end human-AI decision workflows, and build scalable evaluation pipelines to ensure fairness in hiring, performance, promotion, and workforce planning. Strong collaboration with engineering, legal, privacy, and operations is required to translate findings into actionable mitigations.
Location: San Francisco, New York, Seattle, Washington
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • ā€¢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.
  • ā€¢Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, and validity testing.
  • ā€¢Identify appropriate fairness criteria for each use case, document assumptions and residual risks, and communicate tradeoffs to stakeholders.
  • ā€¢Evaluate end-to-end human-AI decision systems, including model outputs, user behavior, human overrides, escalation pathways, and whether AI assistance changes decision quality or equity.
  • ā€¢Develop evaluation approaches for generative and agentic AI, including test-set design, counterfactual testing, human-rating studies, and robustness testing.

Pay and Benefits

Salary: USD 198,000 - 220,000 annually
Equity and Bonus:Equity

Key Requirements

  • ā€¢Deep expertise in algorithmic fairness, bias measurement, or responsible AI and applied statistics.
  • ā€¢Strong skills in research design, measurement, experimentation, causal inference, and statistical modeling.
  • ā€¢Hands-on experience with subgroup/intersectional analysis, adverse-impact testing, demographic-parity assessment, calibration analysis, and reliability/validity studies.
  • ā€¢Ability to evaluate machine-learning models, generative AI systems, agents, or human-AI workflows using quantitative and qualitative evidence.
  • ā€¢High proficiency in Python or R and SQL; experience building reproducible evaluation pipelines and monitoring tools.
Experience:AI fairnessBias testingData scienceHR analytics
Skills:PythonSQLRData analysisStatistics
Tech Stack:PythonSQLRFairlearnAI fairnessMachine learning

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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