RBC is looking for an Expert Data Scientist to enhance AI Evaluation processes. This senior role emphasizes advanced methodologies, model quality, and risk management in the AI domain. As part of RBC’s AI Group, you will be instrumental in shaping evaluation protocols and metrics for generative AI systems.

With a background of 8+ years in data science, your role includes mentoring junior scientists and collaborating with various teams. You will ensure that evaluation practices contribute to evidence-based AI decision-making. Key Responsibilities:
Design and implement robust evaluation frameworks
Define standards linking model risk to measurable criteria
Manage the lifecycle of evaluation datasets thoroughly
Develop and scale evaluation methods for AI systems
Standardize human evaluation and quality assurance processes

Requirements:
Minimum 8 years in data science or AI evaluation
Experience crafting evaluation frameworks for AI models
Proficiency with tools for AI measurement
Solid skills in Python, SQL, and data analytics
Excellent communication for stakeholder influence

Utilize your expertise to strengthen RBC's initiatives in trusted AI.

📌 Expert Data Scientist For Ai Evaluation Quebec City (Canada)
🏢 Socket.dev
📍 Canada