Staff Data Scientist, (Global Security) at Royal Bank of Canada | Toronto, Canada | Rezi

Staff Data Scientist, (Global Security) at Royal Bank of Canada

Staff Data Scientist, (Global Security)

Royal Bank of Canada · Toronto, Canada

Today

Staff Data Scientist, (Global Security)

Royal Bank of Canada · Toronto, Canada

14 hours ago
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About the Role

Advanced data scientist who explores and analyzes datasets using pandas and Spark, conducting statistical inferences from basic parameter estimation to complex model building with sophisticated methods. Demonstrates strong command of Bayesian statistics and advanced statistical learning techniques while interpreting correlations and performing rigorous significance testing to distinguish meaningful results from noise. Transforms data across multiple formats including graph-based representations, applying critical thinking to solve ambiguous problems. Ships production-ready code with optimization and security considerations, leading PL08 data scientists in daily tasks while overseeing multiple projects and providing technical mentorship across teams.

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

Requirements

  • Strong analytical abilities
  • Strong understanding of foundational concepts
  • Min 3 years of hands-on experience with Pyspark, Python, Scala
  • Focused on data science but NLP exposure will be recommended
  • Supervised/ Unsupervised Machine Learning, Anomaly detection, Bayesian statistics
  • Experience coming from Cyber security background
  • Has a good understanding and implementation of LLM tools

Skills

  • Analytics
  • Big Data Management
  • Collaboration
  • Data Mining
  • Data Science
  • Decision Making
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Natural Language Programming (NLP)
  • Predictive Analytics
  • Problem Solving
  • PySpark
  • Python (Programming Language)

Location

  • Toronto, Canada

Work Type

  • Full time

Experience Level

  • Min 3 years of hands-on experience

Benefits

  • A comprehensive Total Rewards Program including bonuses and flexible benefits
  • Competitive compensation
  • Commissions
  • Stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Opportunities to building close relationships with clients
  • Access to a variety of job opportunities across business and geographies

About the Company

  • At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC.
  • We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world.
  • Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities.
  • RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
  • Expand your limits and create a new future together at RBC.
  • Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.