Global Security Data Scientist Role

Join RBC in Toronto as a Global Security Data Scientist, focusing on advanced statistical analysis and machine learning. Leverage your skills in Python and Spark to drive data-driven solutions.

In this advanced role, you'll need at least three years of experience in data science, emphasizing supervised and unsupervised machine learning. You'll apply your strong analytical abilities to build complex models while mentoring junior staff and overseeing critical projects. This position requires a comprehensive understanding of Bayesian statistics along with a proactive approach to problem-solving.

Key Responsibilities:

• Conduct detailed analysis of datasets using Spark and pandas

• Build and optimize sophisticated statistical models

• Ship production code with a focus on security

• Mentor junior data scientists and guide daily activities

• Manage multiple projects in a collaborative environment

Requirements:

• 3+ years of experience with Pyspark, Python, or Scala

• Proficient in Bayesian statistics and machine learning

• Familiarity with LLM tools is a plus

• Cybersecurity experience preferred

• Strong critical thinking abilities

Utilize your expertise to support security initiatives at RBC and make a significant impact.
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