Staff Data Scientist - Verification & Validation

📋 Description

• Design evaluation frameworks for safety-critical AI systems to form objective conclusions.
• Conduct robust analysis and provide validation evidence for complex operations.
• Inform strategy with data-driven insights for developers and executives.
• Define metrics and align teams on performance metrics.
• Lead the lifecycle of evaluation from prototyping to validation.
• Scale pipelines by building scalable data processing and simulation pipelines.

🎯 Requirements

• MS or PhD in Statistics, CS, ML, Applied Math, or related field.
• Proficiency in Python and SQL with production-quality code.
• Expert in statistical methods: hypothesis testing, power analysis, Bayesian inference.
• Experience with large-scale data analysis and statistical modeling.
• Proficiency with Git, unit testing, and collaborative development practices.
• Hands-on with production ML pipelines: datasets, training, metrics.