Job Description & How to Apply Below
Explore vast datasets as an Advanced Data Scientist at RBC, focusing on statistical modeling and data processing in Toronto's Global Security sector. Utilize your expertise to cultivate insights and enhance security measures.
In this role, you will leverage your knowledge of Bayesian statistics and machine learning to develop and ship production-ready code. Overseeing various projects, you'll mentor junior data scientists, ensuring high-quality analysis and project delivery using tools like PySpark and Python.
Key Responsibilities:
• Analyze and solve complex datasets with critical thinking
• Design sophisticated statistical models for various projects
• Optimize and secure production code delivery
• Mentor junior team members in technical tasks
• Conduct rigorous testing to validate signification of results
Requirements:
• 3+ years of hands-on experience in data science
• Strong understanding of data processing and machine learning
• Familiarity with anomaly detection and Bayesian techniques
• Recommended experience in NLP and advanced analytics
• Background in cybersecurity is a plus
Drive innovation and deliver trusted insights while working with a top-tier data science team at RBC.
#J-18808-Ljbffr
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×