People Research Data Scientist, AI Fairness & Bias
Tasks
- Build scalable fairness evaluation infrastructure
- Communicate decision ready risk findings
- Conduct algorithmic audits and validation studies
- Create fairness documentation standards
- Define fairness and bias testing strategies
- Develop generative and agentic AI evaluation approaches
- Evaluate human AI decision systems
- Investigate sources of observed disparities
- Perform subgroup and intersectional evaluation
- Recommend mitigations with cross functional teams
Perks/Benefits
- N/A
Skills/Tech-stack
Adverse impact analysis | Algorithmic Fairness | Bias Measurement | Calibration | Causal Inference | Counterfactual Testing | Impact analysis | Intersectional Analysis | Machine Learning | Measurement invariance | Python | R | Regression testing | Reliability analysis | Robustness Testing | SQL | Statistical modeling | Subgroup Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
Regions
Countries
States
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