Responsible AI Senior Data Scientist
Core
Developing analytic capabilities to translate Responsible AI policies into testable requirements, evaluation plans, and metrics for AI development.
Role type
Senior Responsible AI Data Scientist
Builds
Reusable evaluation methods, pipelines, and metrics for fairness, robustness, safety, and quality within AI platforms.
Domain
AI Ethics & Governance
Deliverable
production ML models
Required skills
Statistical analysis and hypothesis testing, Python/R/Java, Modern ML/LLM tooling (Kubeflow, SageMaker, Databricks), LLM observability frameworks, Cross-functional collaboration
Preferred skills
Cloud services (AWS, Azure, GCP), AI regulations (NIST AI RMF, EU AI Act)
Responsibilities
Partner with product/legal/privacy to turn principles into testable requirements; Develop and embed reusable evaluation pipelines; Define metrics and best practices for Responsible AI governance; Stay informed on Responsible AI advances and translate them into prototypes; Produce stakeholder-facing analyses of evaluation approaches and findings.
Seniority
Senior, hands-on IC
