Lead Data Scientist, Global Security & Analytics

JobCubby; Toronto; Hybrid; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Total rewards program

Bonuses and flexible benefits

Stock options where applicable

World-class training program

Challenging work opportunities

Job summary

RBC in Toronto is seeking an advanced data scientist to explore datasets using pandas and Spark, build Bayesian models, and ship production-ready code while mentoring juniors. You will lead multiple projects across teams and contribute to secure, optimized analytics in the financial services environment.

Ideal candidates will have hands-on PySpark, Python, and Scala experience, plus ML expertise and NLP exposure.

Qualifications

• Min 3 years hands-on experience with PySpark, Python, Scala.
• Experience in supervised/unsupervised ML, anomaly detection, Bayesian statistics.
• NLP exposure recommended.

Responsibilities

• Apply critical thinking to develop high-level approaches to vague problems
• Build complex statistical models using sophisticated parameter learning methods
• Write maintainable, optimized, and secure production code
• Ship code to production with optimization and security considerations
• Lead junior data scientists in day-to-day technical tasks
• Oversee multiple data science projects simultaneously
• Apply strong understanding of Bayesian statistics to analytical problems

Skills

PySpark

Python

Scala

Bayesian statistics

Machine Learning

NLP exposure

Analytical thinking

Tools

Pandas

Spark

Job description

RBC in Toronto is seeking an advanced data scientist to explore datasets using pandas and Spark, build Bayesian models, and ship production-ready code while mentoring juniors. You will lead multiple projects across teams and contribute to secure, optimized analytics in the financial services environment.

Ideal candidates will have hands-on PySpark, Python, and Scala experience, plus ML expertise and NLP exposure.