Elevate your career with RBC as a Full Stack Data Scientist. Focus on big data operationalization to enhance user experience and reduce costs in a full-time role.
RBC Technology Infrastructure is seeking a Data Scientist with over five years of industry experience. This role demands expertise in AI/ML model deployment, statistics, advanced mathematics, and programming. You will collaborate closely with engineering teams to ensure best practices in machine learning solutions while identifying patterns, posing business questions, and developing prototypes.
Key Responsibilities:
• Lead end-to-end Data Science solutions and model deployments
• Apply advanced statistical, programming, and ML techniques
• Build predictive and anomaly detection models




• Oversee data acquisition from diverse sources
• Utilize APIs for data collection into Data Warehouse
Requirements:
• 5+ years of experience in Data Science
• Advanced degree in analytical field such as Computer Science
• Strong skills in Python, PySpark, SQL, and ML libraries
• Experience with graph databases and data visualization tools
• Excellent communication and collaboration skills
Utilize your data expertise, machine learning skills, and problem-solving capabilities to drive impactful changes at RBC.
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📌 Full Stack Data Scientist at RBC (Toronto)
🏢 Socket.dev
📍 Toronto