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 solid 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 team-oriented workplace 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.

📌 Global Security Data Scientist Role Toronto
🏢 RBC
📍 Toronto