Join RBCs AI Group in Toronto, Canada, as a Staff Data Scientist focusing on rigorous model evaluation and risk assessment. Your expertise will refine evaluations, ensuring safety and performance in AI systems.

This senior role emphasizes the design and implementation of comprehensive evaluation frameworks across generative AI and machine learning models. You will guide a team of data scientists, fostering innovation in testing methodologies and establishing evidence-based standards for model quality. Collaborating with various RBC teams, you will translate complex AI evaluation protocols into practical applications.

Key Responsibilities

Design methodologies for evaluating ML and agent systems

Define repeatable standards for quality and safety assessments





Manage the lifecycle of evaluation datasets

Collaborate on evaluation processes in production workflows

Provide mentorship and technical leadership to the team

Requirements

8+ years of relevant experience in data science

Advanced skills in evaluation frameworks for AI

Solid background in Python and SQL

Proven leadership in driving AI initiatives

Effective stakeholder management skills

Harness your skills in model evaluation to propel RBC towards trusted AI advancements.

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📌 Ai Evaluation Data Scientist Position At Rbc Toronto (Canada)
🏢 Bilinguallink
📍 Canada