People Research Data Scientist, AI Fairness & Bias
Tasks
- Build scalable fairness evaluation infrastructure
- Conduct algorithmic audits and validation studies
- Define fairness and bias testing strategies
- Design evaluation approaches for generative and agentic AI
- Establish fairness research and documentation standards
- Evaluate human AI decision systems
- Investigate sources of observed disparities
- Perform subgroup and intersectional fairness evaluation
- Recommend mitigations for bias and fairness issues
- Translate findings into decision ready recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
Adverse impact analysis | Agentic AI | Algorithmic Fairness | Bias Measurement | Calibration | Causal Inference | Counterfactual Testing | Data Documentation | Equal Opportunity | Equalized Odds | Experimentation | Generative AI | Impact analysis | Intersectional Analysis | Measurement invariance | Model Monitoring | Psychometrics | Python | R | Regression testing | Reliability analysis | Responsible AI | Robustness Testing | SQL | Statistical modeling | Subgroup Analysis | Validation studies
Education
Associate Degree | Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Applied Researcher | Data Scientist | Researcher | Scientist
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