Senior Data Scientist
Core
Run highly defensible bias audits of high-stakes AI hiring systems used by startups and enterprises, translating regulations into practical tests and shaping analytical methodology.
Role type
Senior Applied Scientist (AI Evaluation & Fairness)
Builds
Defensible audit frameworks, statistical test datasets, and evaluation workflows for AI hiring systems
Domain
HR Tech / AI Fairness / Regulatory Compliance
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Statistical reasoning, causal inference, Bayesian modeling, experimental design, Python, AI system evaluation, synthetic data generation
Preferred skills
HR analytics, I/O psychology, AI regulation knowledge, explainability for black-box systems
Technologies
Python
Responsibilities
Define statistical tests and fairness metrics, translate regulations into audit methodologies, design test frameworks and datasets, analyze audit results and shape customer reports, defend methodology to stakeholders, write white papers and industry reports
Seniority
Senior, hands-on IC with high agency
