Enhance your analytical career with RBC as an Advanced Data Scientist specializing in Cybersecurity. Use your expertise in Bayesian statistics and complex model building to impacts in a dynamic environment. As a seasoned data scientist with a minimum of three years’ experience in data analysis, you will explore datasets with PySpark and Python while mentoring junior professionals. This role emphasizes sophisticated problem-solving and requires collaboration across various projects while delivering optimized production code. Your knowledge of Bayesian techniques will serve as a foundation for addressing complex analytical challenges. Key Responsibilities:
- Analyze complex datasets with advanced tools and techniques




- Develop high-level statistical models for insightful analytics
- Ensure code quality through maintainable and secure practices
- Lead and mentor junior data scientists on technical tasks
- Oversee and manage multiple projects Requirements:
- 3 years of experience in Pyspark, Python, or Scala
- In-depth understanding of Bayesian statistics
- NLP knowledge preferred
- Cybersecurity background desirable
- Strong analytical and critical thinking skills Bring your advanced data science skills to RBC and contribute to cutting-edge solutions in cybersecurity. #J-18808-Ljbffr

📌 Advanced Data Scientist - Cybersecurity Focus (Toronto)
🏢 RBC
📍 Toronto